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ORCIDChristos Faloutsos
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- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2021
[j163]Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng:
EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection. Future Gener. Comput. Syst. 115: 236-250 (2021)- 2020
- [j162]Jiyuan Zhang, Jinoh Oh, Kijung Shin
, Evangelos E. Papalexakis, Christos Faloutsos, Hwanjo Yu:
Fast and memory-efficient algorithms for high-order Tucker decomposition. Knowl. Inf. Syst. 62(7): 2765-2794 (2020) - [j161]Panos Parchas, Yonatan Naamad, Peter Van Bouwel, Christos Faloutsos, Michalis Petropoulos:
Fast and Effective Distribution-Key Recommendation for Amazon Redshift. Proc. VLDB Endow. 13(11): 2411-2423 (2020) - [j160]Kijung Shin, Sejoon Oh, Jisu Kim, Bryan Hooi, Christos Faloutsos:
Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams. ACM Trans. Knowl. Discov. Data 14(2): 12:1-12:39 (2020) - [j159]Fan Yang, Faisal M. Almutairi, Hyun Ah Song, Christos Faloutsos, Nicholas D. Sidiropoulos, Vladimir Zadorozhny:
TurboLift: fast accuracy lifting for historical data recovery. VLDB J. 29(5): 1129-1148 (2020) - [j158]Dongjin Lee, Kijung Shin, Christos Faloutsos:
Temporal locality-aware sampling for accurate triangle counting in real graph streams. VLDB J. 29(6): 1501-1525 (2020) - [c438]Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos:
Midas: Microcluster-Based Detector of Anomalies in Edge Streams. AAAI 2020: 3242-3249 - [c437]Bryan Hooi, Kijung Shin, Hemank Lamba, Christos Faloutsos:
TellTail: Fast Scoring and Detection of Dense Subgraphs. AAAI 2020: 4150-4157 - [c436]Varun Embar, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Christos Faloutsos, Lise Getoor:
Contrastive Entity Linkage: Mining Variational Attributes from Large Catalogs for Entity Linkage. AKBC 2020 - [c435]Meng-Chieh Lee, Yue Zhao, Aluna Wang, Pierre Jinghong Liang, Leman Akoglu, Vincent S. Tseng, Christos Faloutsos:
AutoAudit: Mining Accounting and Time-Evolving Graphs. IEEE BigData 2020: 950-956 - [c434]Junheng Hao, Tong Zhao, Jin Li, Xin Luna Dong, Christos Faloutsos, Yizhou Sun, Wei Wang:
P-Companion: A Principled Framework for Diversified Complementary Product Recommendation. CIKM 2020: 2517-2524 - [c433]Yiwei Wang, Shenghua Liu, Minji Yoon, Hemank Lamba, Wei Wang, Christos Faloutsos, Bryan Hooi:
Provably Robust Node Classification via Low-Pass Message Passing. ICDM 2020: 621-630 - [c432]Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos:
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off. ICDM 2020: 751-760 - [c431]Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong:
J-Recs: Principled and Scalable Recommendation Justification. ICDM 2020: 1208-1213 - [c430]Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. KDD 2020: 503-512 - [c429]Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han:
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. KDD 2020: 2247-2257 - [c428]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han:
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. KDD 2020: 2724-2734 - [c427]Ilias Dimitriadis, Marinos Poiitis, Christos Faloutsos, Athena Vakali:
TRIAGE: Temporal Twitter attribute graph patterns. WIMS 2020: 44-53 - [c426]Wei Zhang, Hao Wei, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, David Page:
AutoBlock: A Hands-off Blocking Framework for Entity Matching. WSDM 2020: 744-752 - [c425]Christos Faloutsos, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Yuyang Wang:
Forecasting Big Time Series: Theory and Practice. WWW (Companion Volume) 2020: 320-321 - [c424]Qi Zhu, Hao Wei, Bunyamin Sisman, Da Zheng, Christos Faloutsos, Xin Luna Dong, Jiawei Han:
Collective Multi-type Entity Alignment Between Knowledge Graphs. WWW 2020: 2241-2252 - [c423]Dhivya Eswaran, Srijan Kumar, Christos Faloutsos:
Higher-Order Label Homogeneity and Spreading in Graphs. WWW 2020: 2493-2499 - [i48]Dhivya Eswaran, Srijan Kumar, Christos Faloutsos:
Higher-Order Label Homogeneity and Spreading in Graphs. CoRR abs/2002.07833 (2020) - [i47]Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han:
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. CoRR abs/2006.10276 (2020) - [i46]Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. CoRR abs/2006.12001 (2020) - [i45]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han:
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. CoRR abs/2006.13473 (2020) - [i44]Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos:
Real-Time Streaming Anomaly Detection in Dynamic Graphs. CoRR abs/2009.08452 (2020) - [i43]Meng-Chieh Lee, Yue Zhao, Aluna Wang, Pierre Jinghong Liang, Leman Akoglu, Vincent S. Tseng, Christos Faloutsos:
AutoAudit: Mining Accounting and Time-Evolving Graphs. CoRR abs/2011.00447 (2020) - [i42]Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong:
J-Recs: Principled and Scalable Recommendation Justification. CoRR abs/2011.05928 (2020) - [i41]Rui Wang, Danielle C. Maddix, Christos Faloutsos, Yuyang Wang, Rose Yu:
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems. CoRR abs/2011.10616 (2020) - [i40]Minji Yoon, Bryan Hooi, Kijung Shin, Christos Faloutsos:
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach. CoRR abs/2011.13085 (2020) - [i39]Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos:
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off. CoRR abs/2011.14925 (2020) - [i38]Shimiao Li, Amritanshu Pandey, Bryan Hooi, Christos Faloutsos, Larry T. Pileggi:
Dynamic Graph-Based Anomaly Detection in the Electrical Grid. CoRR abs/2012.15006 (2020)
2010 – 2019
- 2019
- [j157]Miguel Araujo, Pedro Manuel Pinto Ribeiro, Hyun Ah Song, Christos Faloutsos:
TensorCast: forecasting and mining with coupled tensors. Knowl. Inf. Syst. 59(3): 497-522 (2019) - [j156]Te-En Wei, Hahn-Ming Lee, Albert B. Jeng, Hemank Lamba, Christos Faloutsos:
WebHound: a data-driven intrusion detection from real-world web access logs. Soft Comput. 23(22): 11947-11965 (2019) - [j155]Matthijs van Leeuwen, Polo Chau, Jilles Vreeken, Dafna Shahaf, Christos Faloutsos:
Addendum to the Special Issue on Interactive Data Exploration and Analytics (TKDD, Vol. 12 Iss. 1). ACM Trans. Knowl. Discov. Data 13(1): 13:1-13:2 (2019) - [j154]Shenghua Liu, Bryan Hooi, Christos Faloutsos:
A Contrast Metric for Fraud Detection in Rich Graphs. IEEE Trans. Knowl. Data Eng. 31(12): 2235-2248 (2019) - [j153]Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha P. Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell:
Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data. IEEE Trans. Knowl. Data Eng. 31(12): 2304-2318 (2019) - [c422]Dhivya Eswaran, Christos Faloutsos, Nina Mishra, Yonatan Naamad:
Intervention-Aware Early Warning. ICDM 2019: 1030-1035 - [c421]Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. KDD 2019: 596-606 - [c420]Minji Yoon, Bryan Hooi, Kijung Shin, Christos Faloutsos:
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach. KDD 2019: 647-657 - [c419]Christos Faloutsos, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Yuyang Wang:
Forecasting Big Time Series: Theory and Practice. KDD 2019: 3209-3210 - [c418]Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng:
Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection. PAKDD (1) 2019: 541-554 - [c417]Bryan Hooi, Christos Faloutsos:
Branch and Border: Partition-Based Change Detection in Multivariate Time Series. SDM 2019: 504-512 - [c416]Bryan Hooi, Kijung Shin, Shenghua Liu, Christos Faloutsos:
SMF: Drift-Aware Matrix Factorization with Seasonal Patterns. SDM 2019: 621-629 - [c415]Christos Faloutsos, Jan Gasthaus, Tim Januschowski, Yuyang Wang:
Classical and Contemporary Approaches to Big Time Series Forecasting. SIGMOD Conference 2019: 2042-2047 - [i37]Marko Jereminov, Bryan Hooi, Amritanshu Pandey, Hyun Ah Song, Christos Faloutsos, Lawrence T. Pileggi:
Impact of Load Models on Power Flow Optimization. CoRR abs/1902.04154 (2019) - [i36]Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. CoRR abs/1905.08865 (2019) - [i35]Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos:
MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams. CoRR abs/1911.04464 (2019) - [i34]Wei Zhang, Hao Wei, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, David Page:
AutoBlock: A Hands-off Blocking Framework for Entity Matching. CoRR abs/1912.03417 (2019) - 2018
- [j152]Kijung Shin, Tina Eliassi-Rad, Christos Faloutsos:
Patterns and anomalies in k-cores of real-world graphs with applications. Knowl. Inf. Syst. 54(3): 677-710 (2018) - [j151]Faisal M. Almutairi, Fan Yang, Hyun Ah Song, Christos Faloutsos, Nicholas D. Sidiropoulos, Vladimir Zadorozhny:
HomeRun: Scalable Sparse-Spectrum Reconstruction of Aggregated Historical Data. Proc. VLDB Endow. 11(11): 1496-1508 (2018) - [j150]Christos Faloutsos, Jan Gasthaus, Tim Januschowski, Yuyang Wang:
Forecasting Big Time Series: Old and New. Proc. VLDB Endow. 11(12): 2102-2105 (2018) - [j149]Kijung Shin, Bryan Hooi, Christos Faloutsos:
Fast, Accurate, and Flexible Algorithms for Dense Subtensor Mining. ACM Trans. Knowl. Discov. Data 12(3): 28:1-28:30 (2018) - [j148]Chengxi Zang, Peng Cui, Christos Faloutsos, Wenwu Zhu:
On Power Law Growth of Social Networks. IEEE Trans. Knowl. Data Eng. 30(9): 1727-1740 (2018) - [c414]Rakshit Trivedi, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, Jun Ma, Hongyuan Zha:
LinkNBed: Multi-Graph Representation Learning with Entity Linkage. ACL (1) 2018: 252-262 - [c413]Bryan Hooi, Leman Akoglu, Dhivya Eswaran, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos:
ChangeDAR: Online Localized Change Detection for Sensor Data on a Graph. CIKM 2018: 507-516 - [c412]Dongha Lee, Jinoh Oh, Christos Faloutsos, Byungju Kim, Hwanjo Yu:
Disk-based Matrix Completion for Memory Limited Devices. CIKM 2018: 1093-1102 - [c411]Fan Yang, Hyun Ah Song, Zongge Liu, Christos Faloutsos, Vladimir Zadorozhny, Nicholas D. Sidiropoulos:
Ares: Automatic Disaggregation of Historical Data. ICDE 2018: 65-76 - [c410]Dhivya Eswaran, Christos Faloutsos:
SedanSpot: Detecting Anomalies in Edge Streams. ICDM 2018: 953-958 - [c409]Miguel Araujo, Pedro Manuel Pinto Ribeiro, Christos Faloutsos:
TensorCast: Forecasting Time-Evolving Networks with Contextual Information. IJCAI 2018: 5199-5203 - [c408]Serene W. H. Wong, Chiara Pastrello, Max Kotlyar, Christos Faloutsos, Igor Jurisica:
SDREGION: Fast Spotting of Changing Communities in Biological Networks. KDD 2018: 867-875 - [c407]Dhivya Eswaran, Christos Faloutsos, Sudipto Guha, Nina Mishra:
SpotLight: Detecting Anomalies in Streaming Graphs. KDD 2018: 1378-1386 - [c406]Kijung Shin, Mohammad Hammoud, Euiwoong Lee, Jinoh Oh, Christos Faloutsos:
Tri-Fly: Distributed Estimation of Global and Local Triangle Counts in Graph Streams. PAKDD (3) 2018: 651-663 - [c405]Bryan Hooi, Dhivya Eswaran, Hyun Ah Song, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos:
GridWatch: Sensor Placement and Anomaly Detection in the Electrical Grid. ECML/PKDD (1) 2018: 71-86 - [c404]Dhivya Eswaran, Reihaneh Rabbany, Artur W. Dubrawski, Christos Faloutsos:
Social-Affiliation Networks: Patterns and the SOAR Model. ECML/PKDD (2) 2018: 105-121 - [c403]Nikhil Gupta, Dhivya Eswaran, Neil Shah, Leman Akoglu, Christos Faloutsos:
Beyond Outlier Detection: LookOut for Pictorial Explanation. ECML/PKDD (1) 2018: 122-138 - [c402]Aastha Nigam, Kijung Shin, Ashwin Bahulkar, Bryan Hooi, David Hachen, Boleslaw K. Szymanski, Christos Faloutsos, Nitesh V. Chawla:
ONE-M: Modeling the Co-evolution of Opinions and Network Connections. ECML/PKDD (2) 2018: 122-140 - [c401]Kijung Shin, Jisu Kim, Bryan Hooi, Christos Faloutsos:
Think Before You Discard: Accurate Triangle Counting in Graph Streams with Deletions. ECML/PKDD (2) 2018: 141-157 - [c400]Bryan Hooi, Hyun Ah Song, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos:
StreamCast: Fast and Online Mining of Power Grid Time Sequences. SDM 2018: 531-539 - [c399]Rohan Kumar, Mohit Kumar, Neil Shah, Christos Faloutsos:
Did We Get It Right? Predicting Query Performance in e-Commerce Search. eCOM@SIGIR 2018 - [c398]Srijan Kumar, Bryan Hooi, Disha Makhija, Mohit Kumar, Christos Faloutsos, V. S. Subrahmanian:
REV2: Fraudulent User Prediction in Rating Platforms. WSDM 2018: 333-341 - [r2]Duen Horng Chau, Christos Faloutsos:
Fraud Detection Using Social Network Analysis: A Case Study. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i33]Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos:
Out-of-Core and Distributed Algorithms for Dense Subtensor Mining. CoRR abs/1802.01065 (2018) - [i32]Kijung Shin, Euiwoong Lee, Jinoh Oh, Mohammad Hammoud, Christos Faloutsos:
DiSLR: Distributed Sampling with Limited Redundancy For Triangle Counting in Graph Streams. CoRR abs/1802.04249 (2018) - [i31]Rakshit Trivedi, Bunyamin Sisman, Jun Ma, Christos Faloutsos, Hongyuan Zha, Xin Luna Dong:
LinkNBed: Multi-Graph Representation Learning with Entity Linkage. CoRR abs/1807.08447 (2018) - [i30]Rohan Kumar, Mohit Kumar, Neil Shah, Christos Faloutsos:
Did We Get It Right? Predicting Query Performance in E-commerce Search. CoRR abs/1808.00239 (2018) - 2017
- [b5]Danai Koutra, Christos Faloutsos:
Individual and Collective Graph Mining: Principles, Algorithms, and Applications. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2017 - [j147]Neil Shah, Danai Koutra, Lisa Jin, Tianmin Zou, Brian Gallagher, Christos Faloutsos:
On Summarizing Large-Scale Dynamic Graphs. IEEE Data Eng. Bull. 40(3): 75-88 (2017) - [j146]Sang-Chul Lee, Christos Faloutsos, Dong-Kyu Chae, Sang-Wook Kim:
Fraud Detection in Comparison-Shopping Services: Patterns and Anomalies in User Click Behaviors. IEICE Trans. Inf. Syst. 100-D(10): 2659-2663 (2017) - [j145]Sun-Hee Kim, Lei Li, Christos Faloutsos, Hyung-Jeong Yang, Seong-Whan Lee:
DAPs: Mining using Change-Point Detection of Epileptic Activity Time Series Data. J. Inf. Sci. Eng. 33(2): 517-536 (2017) - [j144]Dhivya Eswaran, Stephan Günnemann, Christos Faloutsos, Disha Makhija, Mohit Kumar:
ZooBP: Belief Propagation for Heterogeneous Networks. Proc. VLDB Endow. 10(5): 625-636 (2017) - [j143]Pravallika Devineni, Danai Koutra, Michalis Faloutsos, Christos Faloutsos:
Facebook wall posts: a model of user behaviors. Soc. Netw. Anal. Min. 7(1): 6:1-6:15 (2017) - [j142]Evangelos E. Papalexakis, Christos Faloutsos, Nicholas D. Sidiropoulos:
Tensors for Data Mining and Data Fusion: Models, Applications, and Scalable Algorithms. ACM Trans. Intell. Syst. Technol. 8(2): 16:1-16:44 (2017) - [j141]Tianyang Zhang, Peng Cui, Christos Faloutsos, Yunfei Lu, Hao Ye, Wenwu Zhu, Shiqiang Yang:
comeNgo: A Dynamic Model for Social Group Evolution. ACM Trans. Knowl. Discov. Data 11(4): 41:1-41:22 (2017) - [j140]Bryan Hooi, Kijung Shin, Hyun Ah Song, Alex Beutel, Neil Shah, Christos Faloutsos:
Graph-Based Fraud Detection in the Face of Camouflage. ACM Trans. Knowl. Discov. Data 11(4): 44:1-44:26 (2017) - [j139]Alceu Ferraz Costa, Yuto Yamaguchi, Agma Juci Machado Traina, Caetano Traina Jr., Christos Faloutsos:
Modeling Temporal Activity to Detect Anomalous Behavior in Social Media. ACM Trans. Knowl. Discov. Data 11(4): 49:1-49:23 (2017) - [j138]Yang Weng, Rohit Negi, Christos Faloutsos, Marija D. Ilic:
Robust Data-Driven State Estimation for Smart Grid. IEEE Trans. Smart Grid 8(4): 1956-1967 (2017) - [j137]Nicholas D. Sidiropoulos, Lieven De Lathauwer, Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Christos Faloutsos:
Tensor Decomposition for Signal Processing and Machine Learning. IEEE Trans. Signal Process. 65(13): 3551-3582 (2017) - [j136]Yasuko Matsubara, Yasushi Sakurai, B. Aditya Prakash, Lei Li, Christos Faloutsos:
Nonlinear Dynamics of Information Diffusion in Social Networks. ACM Trans. Web 11(2): 11:1-11:40 (2017) - [j135]Yasuko Matsubara, Yasushi Sakurai, Christos Faloutsos:
Ecosystem on the Web: non-linear mining and forecasting of co-evolving online activities. World Wide Web 20(3): 439-465 (2017) - [c397]Shenghua Liu, Bryan Hooi, Christos Faloutsos:
HoloScope: Topology-and-Spike Aware Fraud Detection. CIKM 2017: 1539-1548 - [c396]Da-Cheng Juan, Neil Shah, Mingyu Tang, Zhiliang Qian, Diana Marculescu, Christos Faloutsos:
M3A: Model, MetaModel and Anomaly Detection for Inter-arrivals of Web Searches and Postings. DSAA 2017: 341-350 - [c395]Angen Zheng, Alexandros Labrinidis, Christos Faloutsos:
Skew-Resistant Graph Partitioning. ICDE 2017: 151-154 - [c394]Miguel Ramos de Araujo, Pedro Manuel Pinto Ribeiro, Christos Faloutsos:
TensorCast: Forecasting with Context Using Coupled Tensors (Best Paper Award). ICDM 2017: 71-80 - [c393]Hyun Ah Song, Fan Yang, Zongge Liu, Wilbert Van Panhuis, Nicholas D. Sidiropoulos, Christos Faloutsos, Vladimir Zadorozhny:
GB-R: A Fast and Effective Gray-Box Reconstruction of Cascade Time-Series. ICDM Workshops 2017: 494-501 - [c392]Sebastian Goebl, Srijan Kumar, Christos Faloutsos:
Spectral Lens: Explainable Diagnostics, Tools and Discoveries in Directed, Weighted Graphs. ICDM 2017: 877-882 - [c391]Neil Shah, Hemank Lamba, Alex Beutel, Christos Faloutsos:
The Many Faces of Link Fraud. ICDM 2017: 1069-1074 - [c390]Pedro Costa, Aurélio J. C. Campilho, Bryan Hooi, Asim Smailagic, Kris Kitani, Shenghua Liu, Christos Faloutsos, Adrian Galdran:
EyeQual: Accurate, Explainable, Retinal Image Quality Assessment. ICMLA 2017: 323-330 - [c389]Marko Jereminov, Amritanshu Pandey, Hyun Ah Song, Bryan Hooi, Christos Faloutsos, Larry T. Pileggi:
Linear load model for robust power system analysis. ISGT Europe 2017: 1-6 - [c388]Chengxi Zang, Peng Cui, Christos Faloutsos, Wenwu Zhu:
Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity. KDD 2017: 565-574 - [c387]Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos:
DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams. KDD 2017: 1057-1066 - [c386]Danai Koutra, Abhilash Dighe, Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis, Christos Faloutsos, Jean Bolot:
PNP: Fast Path Ensemble Method for Movie Design. KDD 2017: 1527-1536 - [c385]Reihaneh Rabbany, Dhivya Eswaran, Artur W. Dubrawski, Christos Faloutsos:
Beyond Assortativity: Proclivity Index for Attributed Networks (ProNe). PAKDD (1) 2017: 225-237 - [c384]Bryan Hooi, Shenghua Liu, Asim Smailagic, Christos Faloutsos:
BeatLex: Summarizing and Forecasting Time Series with Patterns. ECML/PKDD (2) 2017: 3-19 - [c383]Hemank Lamba, Bryan Hooi, Kijung Shin, Christos Faloutsos, Jürgen Pfeffer:
zooRank: Ranking Suspicious Entities in Time-Evolving Tensors. ECML/PKDD (1) 2017: 68-84 - [c382]Hyun Ah Song, Bryan Hooi, Marko Jereminov, Amritanshu Pandey, Larry T. Pileggi, Christos Faloutsos:
PowerCast: Mining and Forecasting Power Grid Sequences. ECML/PKDD (2) 2017: 606-621 - [c381]Daniel Y. T. Chino, Alceu Ferraz Costa, Agma J. M. Traina, Christos Faloutsos:
VolTime: Unsupervised Anomaly Detection on Users' Online Activity Volume. SDM 2017: 108-116 - [c380]Dhivya Eswaran, Stephan Günnemann, Christos Faloutsos:
The Power of Certainty: A Dirichlet-Multinomial Model for Belief Propagation. SDM 2017: 144-152 - [c379]Xiao Fu, Kejun Huang, Otilia Stretcu, Hyun Ah Song, Evangelos E. Papalexakis, Partha P. Talukdar, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Barnabás Póczos:
BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals. SDM 2017: 216-227 - [c378]Zongge Liu, Hyun Ah Song, Vladimir Zadorozhny, Christos Faloutsos, Nicholas D. Sidiropoulos:
H-Fuse: Efficient Fusion of Aggregated Historical Data. SDM 2017: 786-794 - [c377]Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos:
D-Cube: Dense-Block Detection in Terabyte-Scale Tensors. WSDM 2017: 681-689 - [c376]Jinoh Oh, Kijung Shin, Evangelos E. Papalexakis, Christos Faloutsos, Hwanjo Yu:
S-HOT: Scalable High-Order Tucker Decomposition. WSDM 2017: 761-770 - [c375]Tsubasa Takahashi, Bryan Hooi, Christos Faloutsos:
AutoCyclone: Automatic Mining of Cyclic Online Activities with Robust Tensor Factorization. WWW 2017: 213-221 - [c374]Sang-Chul Lee, Christos Faloutsos, Dong-Kyu Chae, Sang-Wook Kim:
On Detecting Frauds in Comparison-Shopping Services. WWW (Companion Volume) 2017: 811-812 - [c373]Chengxi Zang, Peng Cui, Chaoming Song, Christos Faloutsos, Wenwu Zhu:
Quantifying Structural Patterns of Information Cascades. WWW (Companion Volume) 2017: 867-868 - [i29]Siheng Chen, Sufeng Niu, Leman Akoglu, Jelena Kovacevic, Christos Faloutsos:
Fast, Warped Graph Embedding: Unifying Framework and One-Click Algorithm. CoRR abs/1702.05764 (2017) - [i28]Srijan Kumar, Bryan Hooi, Disha Makhija, Mohit Kumar, Christos Faloutsos, V. S. Subrahmanian:
FairJudge: Trustworthy User Prediction in Rating Platforms. CoRR abs/1703.10545 (2017) - [i27]Neil Shah, Hemank Lamba, Alex Beutel, Christos Faloutsos:
OEC: Open-Ended Classification for Future-Proof Link-Fraud Detection. CoRR abs/1704.01420 (2017) - [i26]Shenghua Liu, Bryan Hooi, Christos Faloutsos:
HoloScope: Topology-and-Spike Aware Fraud Detection. CoRR abs/1705.02505 (2017) - [i25]Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos:
DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams. CoRR abs/1706.03374 (2017) - [i24]