Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGautam Das 0001
Person information
- affiliation: University of Texas at Arlington, Department of Computer Science and Engineering, TX, USA
- affiliation (former): University of Memphis, Department of Mathematical Sciences, TN, USA
- affiliation (former): Microsoft Research, Redmond, WA, USA
- affiliation (PhD): University of Wisconsin, Madison, WI, USA
Other persons with the same name
- Gautam Das — disambiguation page
- Gautam Das 0002
![[0000-0003-0901-2975]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0901-2975")
— Lakehead University, Department of Physics, Thunder Bay, ON, Canada - Gautam Das 0003 — Indian Institute of Technology, Guwahati, Department of Computer Science & Engineering, India
- Gautam Das 0004 — Jawaharlal Nehru Centre for Advanced Scientific Research, Bangalore, Karnataka, India (and 1 more)
- Gautam Das 0005 — University of Massachusetts, Electrical and Computer Engineering Department, Amherst, MA, USA (and 1 more)
- Gautam Das 0006 — Cooch Behar Government Engineering College, Department of Electronics and Communication Engineering, India
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c122]Suraj Shetiya, Ian P. Swift, Abolfazl Asudeh, Gautam Das:
Shapley Values for Explanation in Two-sided Matching Applications. EDBT 2024: 584-596- [i27]Sana Ebrahimi, Kaiwen Chen, Abolfazl Asudeh, Gautam Das, Nick Koudas:
AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs. CoRR abs/2403.00198 (2024) - 2023
- [j80]Md. Abdus Salam, Senjuti Basu Roy, Gautam Das:
Efficient approximate top-k mutual information based feature selection. J. Intell. Inf. Syst. 61(1): 191-223 (2023) - [i26]Suraj Shetiya, Shohedul Hasan, Abolfazl Asudeh, Gautam Das:
Efficient Strongly Polynomial Algorithms for Quantile Regression. CoRR abs/2307.08706 (2023) - [i25]Mohit Singhal, Javier Pacheco, Tanushree Debi, Seyyed Mohammad Sadegh Moosavi Khorzooghi, Abolfazl Asudeh, Gautam Das, Shirin Nilizadeh:
Auditing Yelp's Business Ranking and Review Recommendation Through the Lens of Fairness. CoRR abs/2308.02129 (2023) - 2022
- [j79]Abolfazl Asudeh, Gautam Das, H. V. Jagadish, Shangqi Lu, Azade Nazi, Yufei Tao, Nan Zhang, Jianwen Zhao:
On Finding Rank Regret Representatives. ACM Trans. Database Syst. 47(3): 10:1-10:37 (2022) - [c121]Suraj Shetiya, Ian P. Swift, Abolfazl Asudeh, Gautam Das:
Fairness-Aware Range Queries for Selecting Unbiased Data. ICDE 2022: 1423-1436 - [c120]Saravanan Thirumuruganathan, Suraj Shetiya, Nick Koudas, Gautam Das:
Prediction Intervals for Learned Cardinality Estimation: An Experimental Evaluation. ICDE 2022: 3051-3064 - 2021
- [j78]Abolfazl Asudeh, Jees Augustine, Saravanan Thirumuruganathan, Azade Nazi, Nan Zhang, Gautam Das, Divesh Srivastava:
Scalable signal reconstruction for a broad range of applications. Commun. ACM 64(2): 106-115 (2021) - [j77]Deepak Puthal, Saraju P. Mohanty, Elias Kougianos, Gautam Das:
When Do We Need the Blockchain? IEEE Consumer Electron. Mag. 10(2): 53-56 (2021) - [c119]Jees Augustine, Suraj Shetiya, Mohammadreza Esfandiari, Senjuti Basu Roy, Gautam Das:
A Generalized Approach for Reducing Expensive Distance Calls for A Broad Class of Proximity Problems. SIGMOD Conference 2021: 142-154 - [c118]Sona Hasani, Saravanan Thirumuruganathan, Nick Koudas, Gautam Das:
Shahin: Faster Algorithms for Generating Explanations for Multiple Predictions. SIGMOD Conference 2021: 2235-2243 - 2020
- [j76]Ajaya Kumar Tripathy, Ambarish G. Mohapatra, Saraju P. Mohanty, Elias Kougianos, Amit Mahesh Joshi, Gautam Das:
EasyBand: A Wearable for Safety-Aware Mobility During Pandemic Outbreak. IEEE Consumer Electron. Mag. 9(5): 57-61 (2020) - [j75]Jees Augustine, Suraj Shetiya, Abolfazl Asudeh, Saravanan Thirumuruganathan, Azade Nazi, Nan Zhang, Gautam Das, Divesh Srivastava:
Orca-SR: A Real-Time Traffic Engineering Framework leveraging Similarity Joins. Proc. VLDB Endow. 13(12): 2977-2980 (2020) - [j74]Suraj Shetiya, Saravanan Thirumuruganathan, Nick Koudas, Gautam Das:
Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning. Proc. VLDB Endow. 14(4): 471-484 (2020) - [j73]Sihem Amer-Yahia, Senjuti Basu Roy, Lei Chen, Atsuyuki Morishima, James Abello Monedero, Pierre Bourhis, François Charoy, Marina Danilevsky, Gautam Das, Gianluca Demartini, Shady Elbassuoni, David Gross-Amblard, Emilie Hoareau, Munenari Inoguchi, Jared B. Kenworthy, Itaru Kitahara, Dongwon Lee, Yunyao Li, Ria Mae Borromeo, Paolo Papotti, H. Raghav Rao, Sudeepa Roy, Pierre Senellart, Keishi Tajima, Saravanan Thirumuruganathan, Marion Tommasi, Kazutoshi Umemoto, Andrea Wiggins, Koichiro Yoshida:
Making AI Machines Work for Humans in FoW. SIGMOD Rec. 49(2): 30-35 (2020) - [j72]Abolfazl Asudeh, Jees Augustine, Azade Nazi, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Divesh Srivastava:
Scalable algorithms for signal reconstruction by leveraging similarity joins. VLDB J. 29(2-3): 681-707 (2020) - [c117]Saravanan Thirumuruganathan, Shohedul Hasan, Nick Koudas, Gautam Das:
Approximate Query Processing for Data Exploration using Deep Generative Models. ICDE 2020: 1309-1320 - [c116]Shohedul Hasan, Saravanan Thirumuruganathan, Jees Augustine, Nick Koudas, Gautam Das:
Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries. SIGMOD Conference 2020: 1035-1050
2010 – 2019
- 2019
- [j71]Sona Hasani, Faezeh Ghaderi, Shohedul Hasan, Saravanan Thirumuruganathan, Abolfazl Asudeh, Nick Koudas, Gautam Das:
ApproxML: Efficient Approximate Ad-Hoc ML Models Through Materialization and Reuse. Proc. VLDB Endow. 12(12): 1906-1909 (2019) - [j70]Suraj Shetiya, Abolfazl Asudeh, Sadia Ahmed, Gautam Das:
A Unified Optimization Algorithm For Solving "Regret-Minimizing Representative" Problems. Proc. VLDB Endow. 13(3): 239-251 (2019) - [j69]Abolfazl Asudeh, Jees Augustine, Azade Nazi, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Divesh Srivastava:
Efficient Signal Reconstruction for a Broad Range of Applications. SIGMOD Rec. 48(1): 42-49 (2019) - [j68]Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das:
Optimized group formation for solving collaborative tasks. VLDB J. 28(1): 1-23 (2019) - [c115]Deepak Puthal, Saraju P. Mohanty, Priyadarsi Nanda, Elias Kougianos, Gautam Das:
Proof-of-Authentication for Scalable Blockchain in Resource-Constrained Distributed Systems. ICCE 2019: 1-5 - [c114]Abolfazl Asudeh, Azade Nazi, Nick Koudas, Gautam Das:
Maximizing Gain over Flexible Attributes in Peer to Peer Marketplaces. PAKDD (3) 2019: 327-345 - [c113]Abolfazl Asudeh, Azade Nazi, Nan Zhang, Gautam Das, H. V. Jagadish:
RRR: Rank-Regret Representative. SIGMOD Conference 2019: 263-280 - [c112]Abolfazl Asudeh, H. V. Jagadish, Julia Stoyanovich, Gautam Das:
Designing Fair Ranking Schemes. SIGMOD Conference 2019: 1259-1276 - [c111]Yifan Guan, Abolfazl Asudeh, Pranav Mayuram, H. V. Jagadish, Julia Stoyanovich, Gerome Miklau, Gautam Das:
MithraRanking: A System for Responsible Ranking Design. SIGMOD Conference 2019: 1913-1916 - [c110]Md. Abdus Salam, Mary E. Koone, Saravanan Thirumuruganathan, Gautam Das, Senjuti Basu Roy:
A Human-in-the-loop Attribute Design Framework for Classification. WWW 2019: 1612-1622 - [i24]Shohedul Hasan, Saravanan Thirumuruganathan, Jees Augustine, Nick Koudas, Gautam Das:
Multi-Attribute Selectivity Estimation Using Deep Learning. CoRR abs/1903.09999 (2019) - [i23]Saravanan Thirumuruganathan, Shohedul Hasan, Nick Koudas, Gautam Das:
Approximate Query Processing using Deep Generative Models. CoRR abs/1903.10000 (2019) - 2018
- [j67]Deepak Puthal, Nisha Malik, Saraju P. Mohanty, Elias Kougianos, Gautam Das:
Everything You Wanted to Know About the Blockchain: Its Promise, Components, Processes, and Problems. IEEE Consumer Electron. Mag. 7(4): 6-14 (2018) - [j66]Jonathan Z. Bakdash, Steve E. Hutchinson, Erin G. Zaroukian, Laura R. Marusich, Saravanan Thirumuruganathan, Charmaine Sample, Blaine Hoffman, Gautam Das:
Malware in the future? Forecasting of analyst detection of cyber events. J. Cybersecur. 4(1): tyy007 (2018) - [j65]Abolfazl Asudeh, Azade Nazi, Jees Augustine, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Divesh Srivastava:
Leveraging Similarity Joins for Signal Reconstruction. Proc. VLDB Endow. 11(10): 1276-1288 (2018) - [j64]Sona Hasani, Saravanan Thirumuruganathan, Abolfazl Asudeh, Nick Koudas, Gautam Das:
Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse. Proc. VLDB Endow. 11(11): 1468-1481 (2018) - [c109]Sadia Ahmed, Sona Hasani, Mary Koone, Saravanan Thirumuruganathan, Montserrat Diaz-Abad, Ron Mitchell, Amal Isaiah, Gautam Das:
An Empirical Study of Questionnaires for the Diagnosis of Pediatric Obstructive Sleep Apnea. EMBC 2018: 4097-4100 - [c108]Yeshwanth Durairaj Gunasekaran, Abolfazl Asudeh, Sona Hasani, Nan Zhang, Ali Jaoua, Gautam Das:
QR2: A Third-Party Query Reranking Service over Web Databases. ICDE 2018: 1653-1656 - [c107]Yeshwanth D. Gunasekaran, Md Farhadur Rahman, Sona Hasani, Nan Zhang, Gautam Das:
DBLOC: Density Based Clustering over LOCation Based Services. SIGMOD Conference 2018: 1697-1700 - [e5]Gautam Das, Christopher M. Jermaine, Philip A. Bernstein:
Proceedings of the 2018 International Conference on Management of Data, SIGMOD Conference 2018, Houston, TX, USA, June 10-15, 2018. ACM 2018 [contents] - [r3]Sihem Amer-Yahia, Mahashweta Das, Gautam Das, Saravanan Thirumuruganathan, Cong Yu:
Structure Analytics in Social Media. Encyclopedia of Database Systems (2nd ed.) 2018 - [r2]Sihem Amer-Yahia, Senjuti Basu Roy, Gautam Das, Ioanna Lykourentzou, Habibur Rahman, Saravanan Thirumuruganathan:
Human Factors Modeling in Crowdsourcing. Encyclopedia of Database Systems (2nd ed.) 2018 - [i22]Abolfazl Asudeh, Azade Nazi, Nan Zhang, Gautam Das, H. V. Jagadish:
RRR: Rank-Regret Representative. CoRR abs/1802.10303 (2018) - [i21]Yeshwanth D. Gunasekaran, Abolfazl Asudeh, Sona Hasani, Nan Zhang, Ali Jaoua, Gautam Das:
QR2: A Third-party Query Reranking Service Over Web Databases. CoRR abs/1807.05258 (2018) - 2017
- [j63]Eman Rezk, Zainab Awan, Fahad Islam, Ali Jaoua, Somaya Al-Máadeed, Nan Zhang, Gautam Das, Nasir M. Rajpoot:
Conceptual data sampling for breast cancer histology image classification. Comput. Biol. Medicine 89: 59-67 (2017) - [c106]Md Farhadur Rahman, Abolfazl Asudeh, Nick Koudas, Gautam Das:
Efficient Computation of Subspace Skyline over Categorical Domains. CIKM 2017: 407-416 - [c105]Habibur Rahman, Senjuti Basu Roy, Gautam Das:
A Probabilistic Framework for Estimating Pairwise Distances Through Crowdsourcing. EDBT 2017: 258-269 - [c104]Azade Nazi, Abolfazl Asudeh, Gautam Das, Nan Zhang, Ali Jaoua:
MobiFace: A Mobile Application for Faceted Search over Hidden Web Databases. ICCA 2017: 13-17 - [c103]Fahad Islam, Abdelaali Hassaïne, Ali Jaoua, Gautam Das, Nan Zhang:
Individual Query Cardinality Estimation using Multiple Query Combinations on a Search Engine's Corpus. ICCA 2017: 312-316 - [c102]Eman Rezk, Aboubakr Aqle, Ali Jaoua, Gautam Das, Nan Zhang:
Optimized Processing of a Batch of Aggregate Queries over Hidden Databases. ICCA 2017: 317-324 - [c101]Md Farhadur Rahman, Weimo Liu, Saad Bin Suhaim, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Density Based Clustering over Location Based Services. ICDE 2017: 461-469 - [c100]Saad Bin Suhaim, Nan Zhang, Gautam Das, Ali Jaoua:
HDBExpDetector: Aggregate Sudden-Change Detector over Dynamic Web Databases. ICDE 2017: 1369-1370 - [c99]Abolfazl Asudeh, Azade Nazi, Nan Zhang, Gautam Das:
Efficient Computation of Regret-ratio Minimizing Set: A Compact Maxima Representative. SIGMOD Conference 2017: 821-834 - [i20]Md Farhadur Rahman, Abolfazl Asudeh, Nick Koudas, Gautam Das:
Efficient Computation of Subspace Skyline over Categorical Domains. CoRR abs/1703.00080 (2017) - [i19]Abolfazl Asudeh, Azade Nazi, Nick Koudas, Gautam Das:
Assisting Service Providers In Peer-to-peer Marketplaces: Maximizing Gain Over Flexible Attributes. CoRR abs/1705.03028 (2017) - [i18]Jonathan Z. Bakdash, Steve E. Hutchinson, Erin G. Zaroukian, Laura R. Marusich, Saravanan Thirumuruganathan, Char Sample, Blaine Hoffman, Gautam Das:
Malware in the Future? Forecasting Analyst Detection of Cyber Events. CoRR abs/1707.03243 (2017) - [i17]Abolfazl Asudeh, H. V. Jagadish, Julia Stoyanovich, Gautam Das:
Designing Fair Ranking Schemes. CoRR abs/1712.09752 (2017) - 2016
- [j62]Abolfazl Asudeh, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Discovering the Skyline of Web Databases. Proc. VLDB Endow. 9(7): 600-611 (2016) - [j61]Abolfazl Asudeh, Nan Zhang, Gautam Das:
Query Reranking As A Service. Proc. VLDB Endow. 9(11): 888-899 (2016) - [j60]Kosetsu Ikeda, Atsuyuki Morishima, Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das:
Collaborative Crowdsourcing with Crowd4U. Proc. VLDB Endow. 9(13): 1497-1500 (2016) - [j59]Rajeshkumar Kannapalli, Azade Nazi, Mahashweta Das, Gautam Das:
AD-WIRE: Add-on for Web Item Reviewing System. Proc. VLDB Endow. 9(13): 1593-1596 (2016) - [j58]Zhuojie Zhou, Nan Zhang, Zhiguo Gong, Gautam Das:
Faster Random Walks by Rewiring Online Social Networks On-the-Fly. ACM Trans. Database Syst. 40(4): 26:1-26:36 (2016) - [j57]Davide Mottin, Alice Marascu, Senjuti Basu Roy, Gautam Das, Themis Palpanas, Yannis Velegrakis:
A holistic and principled approach for the empty-answer problem. VLDB J. 25(4): 597-622 (2016) - [c98]Md Farhadur Rahman, Saad Bin Suhaim, Weimo Liu, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
ANALOC: Efficient analytics over Location Based Services. ICDE 2016: 1366-1369 - [i16]Md Farhadur Rahman, Weimo Liu, Saad Bin Suhaim, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
HDBSCAN: Density based Clustering over Location Based Services. CoRR abs/1602.03730 (2016) - [i15]Abolfazl Asudeh, Nan Zhang, Gautam Das:
Query Reranking As A Service. CoRR abs/1602.05100 (2016) - [i14]Azade Nazi, Mahashweta Das, Gautam Das:
Web Item Reviewing Made Easy By Leveraging Available User Feedback. CoRR abs/1602.06454 (2016) - 2015
- [j56]Alexios Kotsifakos, Alexandra Stefan, Vassilis Athitsos, Gautam Das, Panagiotis Papapetrou:
DRESS: dimensionality reduction for efficient sequence search. Data Min. Knowl. Discov. 29(5): 1280-1311 (2015) - [j55]Yachao Lu, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Hidden Database Research and Analytics (HYDRA) System . IEEE Data Eng. Bull. 38(3): 84-102 (2015) - [j54]Azade Nazi, Zhuojie Zhou, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Walk, Not Wait: Faster Sampling Over Online Social Networks. Proc. VLDB Endow. 8(6): 678-689 (2015) - [j53]Zhuojie Zhou, Nan Zhang, Gautam Das:
Leveraging History for Faster Sampling of Online Social Networks. Proc. VLDB Endow. 8(10): 1034-1045 (2015) - [j52]Md Farhadur Rahman, Weimo Liu, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Privacy Implications of Database Ranking. Proc. VLDB Endow. 8(10): 1106-1117 (2015) - [j51]Habibur Rahman, Saravanan Thirumuruganathan, Senjuti Basu Roy, Sihem Amer-Yahia, Gautam Das:
Worker Skill Estimation in Team-Based Tasks. Proc. VLDB Endow. 8(11): 1142-1153 (2015) - [j50]Weimo Liu, Md Farhadur Rahman, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Aggregate Estimations over Location Based Services. Proc. VLDB Endow. 8(12): 1334-1345 (2015) - [j49]Mahashweta Das, Gautam Das:
Structured Analytics in Social Media. Proc. VLDB Endow. 8(12): 2046-2047 (2015) - [j48]Senjuti Basu Roy, Ioanna Lykourentzou, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das:
Task assignment optimization in knowledge-intensive crowdsourcing. VLDB J. 24(4): 467-491 (2015) - [c97]Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das:
Task Assignment Optimization in Collaborative Crowdsourcing. ICDM 2015: 949-954 - [c96]Azade Nazi, Saravanan Thirumuruganathan, Vagelis Hristidis, Nan Zhang, Gautam Das:
Answering Complex Queries in an Online Community Network. ICWSM 2015: 662-665 - [c95]Azade Nazi, Saravanan Thirumuruganathan, Vagelis Hristidis, Nan Zhang, Gautam Das:
Querying Hidden Attributes in an Online Community Network. MASS 2015: 657-662 - [c94]Gautam Das:
Principled Optimization Frameworks for Query Reformulation of Database Queries. ExploreDB@SIGMOD/PODS 2015: 2 - [c93]Azade Nazi, Mahashweta Das, Gautam Das:
The TagAdvisor: Luring the Lurkers to Review Web Items. SIGMOD Conference 2015: 531-543 - [i13]Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das:
"The Whole Is Greater Than the Sum of Its Parts": Optimization in Collaborative Crowdsourcing. CoRR abs/1502.05106 (2015) - [i12]Zhuojie Zhou, Nan Zhang, Gautam Das:
Leveraging History for Faster Sampling of Online Social Networks. CoRR abs/1505.00079 (2015) - [i11]Weimo Liu, Md Farhadur Rahman, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Aggregate Estimations over Location Based Services. CoRR abs/1505.02441 (2015) - [i10]Abolfazl Asudeh, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Discovering the Skyline of Web Databases. CoRR abs/1512.02138 (2015) - 2014
- [j47]Weimo Liu, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Aggregate Estimation Over Dynamic Hidden Web Databases. Proc. VLDB Endow. 7(12): 1107-1118 (2014) - [j46]Weimo Liu, Saad Bin Suhaim, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das, Ali Jaoua:
HDBTracker: Monitoring the Aggregates On Dynamic Hidden Web Databases. Proc. VLDB Endow. 7(13): 1569-1572 (2014) - [j45]Saravanan Thirumuruganathan, Habibur Rahman, Sofiane Abbar, Gautam Das:
Beyond Itemsets: Mining Frequent Featuresets over Structured Items. Proc. VLDB Endow. 8(3): 257-268 (2014) - [j44]Nan Zhang, Chengkai Li, Naeemul Hassan, Sundaresan Rajasekaran, Gautam Das:
On Skyline Groups. IEEE Trans. Knowl. Data Eng. 26(4): 942-956 (2014) - [j43]Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu:
An expressive framework and efficient algorithms for the analysis of collaborative tagging. VLDB J. 23(2): 201-226 (2014) - [c92]Naeemul Hassan, Huadong Feng, Ramesh Venkataraman, Gautam Das, Chengkai Li, Nan Zhang:
Anything You Can Do, I Can Do Better: Finding Expert Teams by CrewScout. CIKM 2014: 2030-2032 - [c91]Gautam Das:
Exploration and Mining of Web Repositories. COMAD 2014: 14 - [c90]Milad Eftekhar, Saravanan Thirumuruganathan, Gautam Das, Nick Koudas:
Price trade-offs in social media advertising. COSN 2014: 169-176 - [c89]Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu:
Exploiting group recommendation functions for flexible preferences. ICDE 2014: 412-423 - [c88]Sofiane Abbar, Habibur Rahman, Saravanan Thirumuruganathan, Carlos Castillo, Gautam Das:
Ranking item features by mining online user-item interactions. ICDE 2014: 460-471 - [c87]Azade Nazi, Saravanan Thirumuruganathan, Vagelis Hristidis, Nan Zhang, Khaled B. Shaban, Gautam Das:
Query Hidden Attributes in Social Networks. ICDM Workshops 2014: 886-891 - [c86]Davide Mottin, Alice Marascu, Senjuti Basu Roy, Gautam Das, Themis Palpanas, Yannis Velegrakis:
IQR: an interactive query relaxation system for the empty-answer problem. SIGMOD Conference 2014: 1095-1098 - [c85]Saravanan Thirumuruganathan, Nan Zhang, Vagelis Hristidis, Gautam Das:
Aggregate estimation over a microblog platform. SIGMOD Conference 2014: 1519-1530 - [c84]Nan Zhang, Gautam Das:
Exploration and mining of web repositories. WSDM 2014: 675-676 - [i9]Senjuti Basu Roy, Ioanna Lykourentzou, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das:
Optimization in Knowledge-Intensive Crowdsourcing. CoRR abs/1401.1302 (2014) - [i8]Weimo Liu, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Aggregate Estimation Over Dynamic Hidden Web Databases. CoRR abs/1403.2763 (2014) - [i7]Azade Nazi, Zhuojie Zhou, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Walk, Not Wait: Faster Sampling Over Online Social Networks. CoRR abs/1410.7833 (2014) - [i6]Md Farhadur Rahman, Weimo Liu, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Rank-Based Inference over Web Databases. CoRR abs/1411.1455 (2014) - 2013
- [j42]Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Rank Discovery From Web Databases. Proc. VLDB Endow. 6(13): 1582-1593 (2013) - [j41]Davide Mottin, Alice Marascu, Senjuti Basu Roy, Gautam Das, Themis Palpanas, Yannis Velegrakis:
A Probabilistic Optimization Framework for the Empty-Answer Problem. Proc. VLDB Endow. 6(14): 1762-1773 (2013) - [j40]Manos Papagelis, Gautam Das, Nick Koudas:
Sampling Online Social Networks. IEEE Trans. Knowl. Data Eng. 25(3): 662-676 (2013) - [j39]Alexandra Stefan, Vassilis Athitsos, Gautam Das:
The Move-Split-Merge Metric for Time Series. IEEE Trans. Knowl. Data Eng. 25(6): 1425-1438 (2013) - [c83]Mingyang Zhang, Nan Zhang, Gautam Das:
Mining a search engine's corpus without a query pool. CIKM 2013: 29-38 - [c82]Mahashweta Das, Habibur Rahman, Gautam Das, Vagelis Hristidis:
Generating informative snippet to maximize item visibility. CIKM 2013: 1721-1726 - [c81]Senjuti Basu Roy, Ioanna Lykourentzou, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das:
Crowds, not Drones: Modeling Human Factors in Interactive Crowdsourcing. DBCrowd 2013: 39-42 - [c80]Zhuojie Zhou, Nan Zhang, Zhiguo Gong, Gautam Das:
Faster random walks by rewiring online social networks on-the-fly. ICDE 2013: 769-780 - [c79]Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Breaking the top-k barrier of hidden web databases? ICDE 2013: 1045-1056 - [i5]Mahashweta Das, Gautam Das, Vagelis Hristidis:
Top-K Product Design Based on Collaborative Tagging Data. CoRR abs/1304.0419 (2013) - 2012
- [j38]Nan Zhang, Liam O'Neill, Gautam Das, Xiuzhen Cheng, Heng Huang:
No Silver Bullet: Identifying Security Vulnerabilities in Anonymization Protocols for Hospital Databases. Int. J. Heal. Inf. Syst. Informatics 7(4): 48-58 (2012) - [j37]Senjuti Basu Roy, Gautam Das, Sajal K. Das:
Algorithms for computing Best Coverage Path in the presence of obstacles in a sensor field. J. Discrete Algorithms 13: 86-97 (2012) - [j36]Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu:
Who Tags What? An Analysis Framework. Proc. VLDB Endow. 5(11): 1567-1578 (2012) - [j35]Saravanan Thirumuruganathan, Mahashweta Das, Shrikant Desai, Sihem Amer-Yahia, Gautam Das, Cong Yu:
MapRat: Meaningful Explanation, Interactive Exploration and Geo-Visualization of Collaborative Ratings. Proc. VLDB Endow. 5(12): 1986-1989 (2012) - [j34]George Beskales, Gautam Das, Ahmed K. Elmagarmid, Ihab F. Ilyas, Felix Naumann, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang:
The data analytics group at the qatar computing research institute. SIGMOD Rec. 41(4): 33-38 (2012) - [j33]H. Howie Huang, Nan Zhang, Wei Wang, Gautam Das, Alexander S. Szalay:
Just-in-Time Analytics on Large File Systems. IEEE Trans. Computers 61(11): 1651-1664 (2012) - [c78]Chengkai Li, Nan Zhang, Naeemul Hassan, Sundaresan Rajasekaran, Gautam Das:
On skyline groups. CIKM 2012: 2119-2123 - [c77]Mingyang Zhang, Nan Zhang, Gautam Das:
Aggregate suppression for enterprise search engines. SIGMOD Conference 2012: 469-480 - [i4]Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu:
Who Tags What? An Analysis Framework. CoRR abs/1208.0285 (2012) - [i3]Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Digging Deeper into Deep Web Databases by Breaking Through the Top-k Barrier. CoRR abs/1208.3876 (2012) - [i2]Zhuojie Zhou, Nan Zhang, Zhiguo Gong, Gautam Das:
Faster Random Walks By Rewiring Online Social Networks On-The-Fly. CoRR abs/1211.5184 (2012) - 2011
- [j32]Xin Jin, Nan Zhang, Gautam Das:
ASAP: Eliminating algorithm-based disclosure in privacy-preserving data publishing. Inf. Syst. 36(5): 859-880 (2011) - [j31]Mahashweta Das, Sihem Amer-Yahia, Gautam Das, Cong Yu:
MRI: Meaningful Interpretations of Collaborative Ratings. Proc. VLDB Endow. 4(11): 1063-1074 (2011) - [j30]Xin Jin, Nan Zhang, Aditya Mone, Gautam Das:
Randomized Generalization for Aggregate Suppression Over Hidden Web Databases. Proc. VLDB Endow. 4(11): 1099-1110 (2011) - [j29]Nan Zhang, Gautam Das:
Exploration of Deep Web Repositories. Proc. VLDB Endow. 4(12): 1506-1507 (2011) - [c76]H. Howie Huang, Nan Zhang, Wei Wang, Gautam Das, Alexander S. Szalay:
Just-in-Time Analytics on Large File Systems. FAST 2011: 217-230 - [c75]Senjuti Basu Roy, Gautam Das, Sihem Amer-Yahia, Cong Yu:
Interactive itinerary planning. ICDE 2011: 15-26 - [c74]Mahashweta Das, Gautam Das, Vagelis Hristidis:
Leveraging collaborative tagging for web item design. KDD 2011: 538-546 - [c73]Xin Jin, Nan Zhang, Gautam Das:
Attribute domain discovery for hidden web databases. SIGMOD Conference 2011: 553-564 - [c72]Mingyang Zhang, Nan Zhang, Gautam Das:
Mining a search engine's corpus: efficient yet unbiased sampling and aggregate estimation. SIGMOD Conference 2011: 793-804 - [c71]Xin Jin, Aditya Mone, Nan Zhang, Gautam Das:
MOBIES: mobile-interface enhancement service for hidden web database. SIGMOD Conference 2011: 1263-1266 - 2010
- [j28]Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Vagelis Hristidis, Nick Koudas:
An Access Cost-Aware Approach for Object Retrieval over Multiple Sources. Proc. VLDB Endow. 3(1): 1125-1136 (2010) - [j27]Senjuti Basu Roy, Sihem Amer-Yahia, Ashish Chawla, Gautam Das, Cong Yu:
Space efficiency in group recommendation. VLDB J. 19(6): 877-900 (2010) - [c70]Ning Yan, Chengkai Li, Senjuti Basu Roy, Rakesh Ramegowda, Gautam Das:
Facetedpedia: enabling query-dependent faceted search for wikipedia. CIKM 2010: 1927-1928 - [c69]Arjun Dasgupta, Nan Zhang, Gautam Das:
Turbo-charging hidden database samplers with overflowing queries and skew reduction. EDBT 2010: 51-62 - [c68]Xin Jin, Nan Zhang, Gautam Das:
Algorithm-safe privacy-preserving data publishing. EDBT 2010: 633-644 - [c67]Xin Jin, Mingyang Zhang, Nan Zhang, Gautam Das:
Versatile publishing for privacy preservation. KDD 2010: 353-362 - [c66]Feng Zhao, Gautam Das, Kian-Lee Tan, Anthony K. H. Tung:
Call to order: a hierarchical browsing approach to eliciting users' preference. SIGMOD Conference 2010: 27-38 - [c65]Senjuti Basu Roy, Sihem Amer-Yahia, Ashish Chawla, Gautam Das, Cong Yu:
Constructing and exploring composite items. SIGMOD Conference 2010: 843-854 - [c64]Arjun Dasgupta, Xin Jin, Bradley Jewell, Nan Zhang, Gautam Das:
Unbiased estimation of size and other aggregates over hidden web databases. SIGMOD Conference 2010: 855-866 - [c63]Chengkai Li, Ning Yan, Senjuti Basu Roy, Lekhendro Lisham, Gautam Das:
Facetedpedia: dynamic generation of query-dependent faceted interfaces for wikipedia. WWW 2010: 651-660 - [p2]Chotirat Ann Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das:
Mining Time Series Data. Data Mining and Knowledge Discovery Handbook 2010: 1049-1077
2000 – 2009
- 2009
- [j26]Nikos Sarkas, Nilesh Bansal, Gautam Das, Nick Koudas:
Measure-driven Keyword-Query Expansion. Proc. VLDB Endow. 2(1): 121-132 (2009) - [j25]Sihem Amer-Yahia, Senjuti Basu Roy, Ashish Chawla, Gautam Das, Cong Yu:
Group Recommendation: Semantics and Efficiency. Proc. VLDB Endow. 2(1): 754-765 (2009) - [j24]Nikos Sarkas, Gautam Das, Nick Koudas:
Improved Search for Socially Annotated Data. Proc. VLDB Endow. 2(1): 778-789 (2009) - [j23]Surajit Chaudhuri, Gautam Das:
Keyword querying and Ranking in Databases. Proc. VLDB Endow. 2(2): 1658-1659 (2009) - [j22]Muhammed Miah, Gautam Das, Vagelis Hristidis, Heikki Mannila:
Determining Attributes to Maximize Visibility of Objects. IEEE Trans. Knowl. Data Eng. 21(7): 959-973 (2009) - [j21]Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Nick Koudas:
Anytime measures for top-k algorithms on exact and fuzzy data sets. VLDB J. 18(2): 407-427 (2009) - [c62]Senjuti Basu Roy, Gautam Das:
TRANS: Top-k Implementation Techniques of Minimum Effort Driven Faceted Search For Databases. COMAD 2009 - [c61]Gautam Das:
Top-k Algorithms and Applications. DASFAA 2009: 789-792 - [c60]Albert Angel, Surajit Chaudhuri, Gautam Das, Nick Koudas:
Ranking objects based on relationships and fixed associations. EDBT 2009: 910-921 - [c59]Arjun Dasgupta, Nan Zhang, Gautam Das:
Leveraging COUNT Information in Sampling Hidden Databases. ICDE 2009: 329-340 - [c58]Senjuti Basu Roy, Haidong Wang, Ullas Nambiar, Gautam Das, Mukesh K. Mohania:
DynaCet: Building Dynamic Faceted Search Systems over Databases. ICDE 2009: 1463-1466 - [c57]Gautam Das, Nan Zhang:
Privacy risks in health databases from aggregate disclosure. PETRA 2009 - [c56]Arjun Dasgupta, Nan Zhang, Gautam Das, Surajit Chaudhuri:
Privacy preservation of aggregates in hidden databases: why and how? SIGMOD Conference 2009: 153-164 - [c55]Anirban Maiti, Arjun Dasgupta, Nan Zhang, Gautam Das:
HDSampler: revealing data behind web form interfaces. SIGMOD Conference 2009: 1131-1134 - [e4]Gautam Das, Joachim Gudmundsson, Rolf Klein, Christian Knauer, Michiel H. M. Smid:
Geometric Networks, Metric Space Embeddings and Spatial Data Mining, 01.11. - 06.11.2009. Dagstuhl Seminar Proceedings 09451, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany 2009 [contents] - [r1]Gautam Das:
Sampling Methods in Approximate Query Answering Systems. Encyclopedia of Data Warehousing and Mining 2009: 1702-1707 - [i1]Gautam Das, Joachim Gudmundsson, Rolf Klein, Christian Knauer, Michiel H. M. Smid:
09451 Abstracts Collection - Geometric Networks, Metric Space Embeddings and Spatial Data Mining. Geometric Networks, Metric Space Embeddings and Spatial Data Mining 2009 - 2008
- [j20]Pauli Miettinen, Taneli Mielikäinen, Aristides Gionis, Gautam Das, Heikki Mannila:
The Discrete Basis Problem. IEEE Trans. Knowl. Data Eng. 20(10): 1348-1362 (2008) - [c54]Senjuti Basu Roy, Haidong Wang, Gautam Das, Ullas Nambiar, Mukesh K. Mohania:
Minimum-effort driven dynamic faceted search in structured databases. CIKM 2008: 13-22 - [c53]Gautam Das, Nick Koudas, Manos Papagelis, Sushruth Puttaswamy:
Efficient sampling of information in social networks. SSM 2008: 67-74 - [c52]Muhammed Miah, Gautam Das, Vagelis Hristidis, Heikki Mannila:
Standing Out in a Crowd: Selecting Attributes for Maximum Visibility. ICDE 2008: 356-365 - [c51]Song Lin, Benjamin Arai, Dimitrios Gunopulos, Gautam Das:
Region Sampling: Continuous Adaptive Sampling on Sensor Networks. ICDE 2008: 794-803 - [c50]Zubin Joseph, Gautam Das, Leonidas Fegaras:
Distinct value estimation on peer-to-peer networks. PETRA 2008: 26 - [c49]Nikos Sarkas, Gautam Das, Nick Koudas, Anthony K. H. Tung:
Categorical skylines for streaming data. SIGMOD Conference 2008: 239-250 - [e3]Gautam Das, N. L. Sarda, P. Krishna Reddy:
Proceedings of the 14th International Conference on Management of Data, December 17-19, 2008, IIT Bombay, Mumbai, India. Computer Society of India / Allied Publishers 2008, ISBN 978-81-8424-370-3 [contents] - 2007
- [j19]Ihab F. Ilyas, Gautam Das:
Report on the First International Workshop on Ranking in Databases (DBRank'07). SIGMOD Rec. 36(4): 49-51 (2007) - [j18]Roberto J. Bayardo, Kristin P. Bennett, Gautam Das, Dimitrios Gunopulos, Johannes Gunopulos:
Introduction to special issue ACM SIGKDD 2006. ACM Trans. Knowl. Discov. Data 1(3): 9 (2007) - [j17]Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Vana Kalogeraki:
Efficient Approximate Query Processing in Peer-to-Peer Networks. IEEE Trans. Knowl. Data Eng. 19(7): 919-933 (2007) - [j16]Surajit Chaudhuri, Gautam Das, Vivek R. Narasayya:
Optimized stratified sampling for approximate query processing. ACM Trans. Database Syst. 32(2): 9 (2007) - [c48]Nishant Kapoor, Gautam Das, Vagelis Hristidis, S. Sudarshan, Gerhard Weikum:
STAR: A System for Tuple and Attribute Ranking of Query Answers. ICDE 2007: 1483-1484 - [c47]Arjun Dasgupta, Gautam Das, Heikki Mannila:
A random walk approach to sampling hidden databases. SIGMOD Conference 2007: 629-640 - [c46]Gautam Das, Dimitrios Gunopulos, Nick Koudas, Nikos Sarkas:
Ad-hoc Top-k Query Answering for Data Streams. VLDB 2007: 183-194 - [c45]Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Nick Koudas:
Anytime Measures for Top-k Algorithms. VLDB 2007: 914-925 - [c44]Senjuti Basu Roy, Gautam Das, Sajal K. Das:
Computing Best Coverage Path in the Presence of Obstacles in a Sensor Field. WADS 2007: 577-588 - 2006
- [j15]Surajit Chaudhuri, Gautam Das, Vagelis Hristidis, Gerhard Weikum:
Probabilistic information retrieval approach for ranking of database query results. ACM Trans. Database Syst. 31(3): 1134-1168 (2006) - [c43]Leonidas Fegaras, Weimin He, Gautam Das, David Levine:
XML Query Routing in Structured P2P Systems. DBISP2P 2006: 273-284 - [c42]Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Vana Kalogeraki:
Approximating Aggregation Queries in Peer-to-Peer Networks. ICDE 2006: 42 - [c41]Pauli Miettinen, Taneli Mielikäinen, Aristides Gionis, Gautam Das, Heikki Mannila:
The Discrete Basis Problem. PKDD 2006: 335-346 - [c40]Gautam Das, Vagelis Hristidis, Nishant Kapoor, S. Sudarshan:
Ordering the attributes of query results. SIGMOD Conference 2006: 395-406 - [c39]Gautam Das, Dimitrios Gunopulos, Nick Koudas, Dimitris Tsirogiannis:
Answering Top-k Queries Using Views. VLDB 2006: 451-462 - 2005
- [c38]Foto N. Afrati, Gautam Das, Aristides Gionis, Heikki Mannila, Taneli Mielikäinen, Panayiotis Tsaparas:
Mining Chains of Relations. ICDM 2005: 553-556 - [c37]Gautam Das:
Approximate Query Processing. SBBD 2005: 8-9 - [p1]Chotirat (Ann) Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das:
Mining Time Series Data. The Data Mining and Knowledge Discovery Handbook 2005: 1069-1103 - 2004
- [j14]Yi-Min Wang, Lili Qiu, Chad Verbowski, Dimitris Achlioptas, Gautam Das, Per-Åke Larson:
Summary-based routing for content-based event distribution networks. Comput. Commun. Rev. 34(5): 59-74 (2004) - [c36]Michail Vlachos, Dimitrios Gunopulos, Gautam Das:
Rotation invariant distance measures for trajectories. KDD 2004: 707-712 - [c35]Surajit Chaudhuri, Gautam Das, Utkarsh Srivastava:
Effective Use of Block-Level Sampling in Statistics Estimation. SIGMOD Conference 2004: 287-298 - [c34]Surajit Chaudhuri, Gautam Das, Vagelis Hristidis, Gerhard Weikum:
Probabilistic Ranking of Database Query Results. VLDB 2004: 888-899 - [e2]Gautam Das, Ved Prakash Gulati:
Intelligent Information Technology, 7th International Conference on Information Technology, CIT 2004, Hyderabad, India, December 20-23, 2004, Proceedings. Lecture Notes in Computer Science 3356, Springer 2004, ISBN 3-540-24126-4 [contents] - [e1]Gautam Das, Bing Liu, Philip S. Yu:
Proceedings of the 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, DMKD 2004, Paris, France, June 13, 2004. ACM 2004, ISBN 1-58113-908-X [contents] - 2003
- [c33]Sanjay Agrawal, Surajit Chaudhuri, Gautam Das, Aristides Gionis:
Automated Ranking of Database Query Results. CIDR 2003 - [c32]Brian Babcock, Surajit Chaudhuri, Gautam Das:
Dynamic Sample Selection for Approximate Query Processing. SIGMOD Conference 2003: 539-550 - 2002
- [j13]Binay K. Bhattacharya, Gautam Das, Asish Mukhopadhyay, Giri Narasimhan:
Optimally computing a shortest weakly visible line segment inside a simple polygon. Comput. Geom. 23(1): 1-29 (2002) - [c31]Sanjay Agrawal, Surajit Chaudhuri, Gautam Das:
DBXplorer: A System for Keyword-Based Search over Relational Databases. ICDE 2002: 5-16 - [c30]Sanjay Agrawal, Surajit Chaudhuri, Gautam Das:
DBXplorer: enabling keyword search over relational databases. SIGMOD Conference 2002: 627 - 2001
- [j12]Danny Z. Chen, Gautam Das, Michiel H. M. Smid:
Lower bounds for computing geometric spanners and approximate shortest paths. Discret. Appl. Math. 110(2-3): 151-167 (2001) - [j11]Béla Bollobás, Gautam Das, Dimitrios Gunopulos, Heikki Mannila:
Time-Series Similarity Problems and Well-Separated Geometric Sets. Nord. J. Comput. 8(4): 409-423 (2001) - [c29]Surajit Chaudhuri, Gautam Das, Mayur Datar, Rajeev Motwani, Vivek R. Narasayya:
Overcoming Limitations of Sampling for Aggregation Queries. ICDE 2001: 534-542 - [c28]Surajit Chaudhuri, Gautam Das, Vivek R. Narasayya:
A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries. SIGMOD Conference 2001: 295-306 - [c27]Dimitrios Gunopulos, Gautam Das:
Time Series Similarity Measures and Time Series Indexing. SIGMOD Conference 2001: 624 - 2000
- [j10]Gautam Das, Michiel H. M. Smid:
A lower bound for approximating the geometric minimum weight matching. Inf. Process. Lett. 74(5-6): 253-255 (2000) - [c26]Dimitrios Gunopulos, Gautam Das:
Time series similarity measures (tutorial PM-2). KDD Tutorial Notes 2000: 243-307 - [c25]Gautam Das, Heikki Mannila:
Context-Based Similarity Measures for Categorical Databases. PKDD 2000: 201-210
1990 – 1999
- 1998
- [c24]Gautam Das, King-Ip Lin, Heikki Mannila, Gopal Renganathan, Padhraic Smyth:
Rule Discovery from Time Series. KDD 1998: 16-22 - [c23]Gautam Das, Heikki Mannila, Pirjo Ronkainen:
Similarity of Attributes by External Probes. KDD 1998: 23-29 - 1997
- [j9]Gautam Das, Sanjiv Kapoor, Michiel H. M. Smid:
On the Complexity of Approximating Euclidean Traveling Salesman Tours and Minimum Spanning Trees. Algorithmica 19(4): 447-460 (1997) - [j8]Gautam Das, Paul J. Heffernan, Giri Narasimhan:
LR-visibility in Polygons. Comput. Geom. 7: 37-57 (1997) - [j7]Gautam Das, Michael T. Goodrich:
On the Complexity of Optimization Problems for 3-dimensional Convex Polyhedra and Decision Trees. Comput. Geom. 8: 123-137 (1997) - [j6]Gautam Das, Giri Narasimhan:
A Fast Algorithm for Constructing Sparse Euclidean Spanners. Int. J. Comput. Geom. Appl. 7(4): 297-315 (1997) - [c22]Gautam Das:
The visibility graph contains a bounded-degree spanner. CCCG 1997 - [c21]Béla Bollobás, Gautam Das, Dimitrios Gunopulos, Heikki Mannila:
Time-Series Similarity Problems and Well-Separated Geometric Sets. SCG 1997: 454-456 - [c20]Gautam Das, Rudolf Fleischer, Leszek Gasieniec, Dimitrios Gunopulos, Juha Kärkkäinen:
Episode Matching. CPM 1997: 12-27 - [c19]Gautam Das, Dimitrios Gunopulos, Heikki Mannila:
Finding Similar Time Series. PKDD 1997: 88-100 - 1996
- [j5]Gautam Das, Paul J. Heffernan:
Constructing Degree-3 Spanners with Other Sparseness Properties. Int. J. Found. Comput. Sci. 7(2): 121-136 (1996) - [c18]Danny Z. Chen, Gautam Das, Michiel H. M. Smid:
Lower Bounds for Computing Geometric Spanners and Approximate Shortest Paths. CCCG 1996: 155-160 - [c17]Srinivasa Rao Arikati, Danny Z. Chen, L. Paul Chew, Gautam Das, Michiel H. M. Smid, Christos D. Zaroliagis:
Planar Spanners and Approximate Shortest Path Queries among Obstacles in the Plane. ESA 1996: 514-528 - [c16]Gautam Das, Sanjiv Kapoor, Michiel H. M. Smid:
On the Complexity of Approximating Euclidean Traveling Salesman Tours and Minimum Spanning Trees. FSTTCS 1996: 64-75 - 1995
- [j4]Barun Chandra, Gautam Das, Giri Narasimhan, José Soares:
New sparseness results on graph spanners. Int. J. Comput. Geom. Appl. 5: 125-144 (1995) - [c15]Gautam Das, Giri Narasimhan:
Short cuts in higher dimensional space. CCCG 1995: 103-108 - [c14]Gautam Das, Giri Narasimhan, Jeffrey S. Salowe:
A New Way to Weigh Malnourished Euclidean Graphs. SODA 1995: 215-222 - [c13]Sunil Arya, Gautam Das, David M. Mount, Jeffrey S. Salowe, Michiel H. M. Smid:
Euclidean spanners: short, thin, and lanky. STOC 1995: 489-498 - [c12]Gautam Das, Michael T. Goodrich:
On the Complexity of Approximating and Illuminating Three-Dimensional Convex Polyhedra (Preliminary Version). WADS 1995: 74-85 - 1994
- [j3]Gautam Das, Paul J. Heffernan, Giri Narasimhan:
Finding all Weakly-Visible Chords of a Polygon in Linear Time. Nord. J. Comput. 1(4): 433-457 (1994) - [c11]Gautam Das, Giri Narasimhan:
A Fast Algorithm for Constructing Sparse Euclidean Spanners. SCG 1994: 132-139 - [c10]Gautam Das, Giri Narasimhan:
Optimal Linear-Time Algorithm for the Shortest Illuminating Line Segment in a Polygon. SCG 1994: 259-266 - [c9]Gautam Das, Paul J. Heffernan, Giri Narasimhan:
Finding All Weakly-Visible Chords of a Polygon in Linear Time (Extended Abstract). SWAT 1994: 119-130 - 1993
- [j2]Ingo Althöfer, Gautam Das, David P. Dobkin, Deborah Joseph, José Soares:
On Sparse Spanners of Weighted Graphs. Discret. Comput. Geom. 9: 81-100 (1993) - [c8]Gautam Das, Paul J. Heffernan, Giri Narasimhan:
LR-visibility in Polygons. CCCG 1993: 303-308 - [c7]Gautam Das, Paul J. Heffernan, Giri Narasimhan:
Optimally Sparse Spanners in 3-Dimensional Euclidean Space. SCG 1993: 53-62 - [c6]Gautam Das, Paul J. Heffernan:
Constructing Degree-3 Spanners with Other Sparseness Properties. ISAAC 1993: 11-20 - 1992
- [j1]Gautam Das, Deborah Joseph:
Minimum Vertex Hulls for Polyhedral Domains. Theor. Comput. Sci. 103(1): 107-135 (1992) - [c5]Barun Chandra, Gautam Das, Giri Narasimhan, José Soares:
New Sparseness Results on Graph Spanners. SCG 1992: 192-201 - 1991
- [c4]Gautam Das, Giri Narasimhan:
Geometric Searching and Link Distance (Extended Abstract). WADS 1991: 261-272 - 1990
- [c3]Gautam Das, Deborah Joseph:
Minimum Vertex Hulls for Polyhedral Domains. STACS 1990: 126-137 - [c2]Ingo Althöfer, Gautam Das, David P. Dobkin, Deborah Joseph:
Generating Sparse Spanners for Weighted Graphs. SWAT 1990: 26-37
1980 – 1989
- 1989
- [c1]Gautam Das, Deborah Joseph:
Which Triangulations Approximate the Complete Graph?. Optimal Algorithms 1989: 168-192
Coauthor Index
[c120] [j78] [c118] [j75] [j74] [j73] [j72] [c117] [c116] [j71] [j69] [j68] [c110] [i24] [i23] [j66] [j65] [j64] [c109] [r3] [r2] [c101] [i18] [j62] [j60] [c98] [i16] [j55] [j54] [j52] [j51] [j50] [j48] [c97] [c96] [c95] [i13] [i11] [i10] [j47] [j46] [j45] [j43] [c90] [c89] [c88] [c87] [c85] [i9] [i8] [i7] [i6] [j42] [c81] [c79] [j36] [j35] [i4] [i3]
[j79] [j78] [j75] [j72] [j69] [c113] [j65] [c108] [c107] [i22] [i21] [j63] [c104] [c103] [c102] [c101] [c100] [c99] [j62] [j61] [j58] [c98] [i16] [i15] [j55] [j54] [j53] [j52] [j50] [c96] [c95] [i12] [i11] [i10] [j47] [j46] [j44] [c92] [c87] [c85] [c84] [i8] [i7] [i6] [j42] [c83] [c80] [c79] [j38] [j33] [c78] [c77] [i3] [i2] [j32] [j30] [j29] [c76] [c73] [c72] [c71] [c69] [c68] [c67] [c64] [c59] [c57] [c56] [c55]
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-05-09 00:01 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
