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ORCID17th ICDM 2017: New Orleans, LA, USA
- Vijay Raghavan, Srinivas Aluru, George Karypis, Lucio Miele, Xindong Wu:
2017 IEEE International Conference on Data Mining, ICDM 2017, New Orleans, LA, USA, November 18-21, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-3835-4
Regular Papers
- Adriano Augusto, Raffaele Conforti, Marlon Dumas
, Marcello La Rosa:
Split Miner: Discovering Accurate and Simple Business Process Models from Event Logs. 1-10 - Debrup Banerjee, Kazi Aminul Islam, Gang Mei, Lemin Xiao, Guangfan Zhang, Roger Xu, Shuiwang Ji, Jiang Li:
A Deep Transfer Learning Approach for Improved Post-Traumatic Stress Disorder Diagnosis. 11-20 - Yuchen Bian, Jingchao Ni, Wei Cheng, Xiang Zhang:
Many Heads are Better than One: Local Community Detection by the Multi-walker Chain. 21-30 - Shilei Cao, Buyue Qian, Changchang Yin, Xiaoyu Li, Jishang Wei, Qinghua Zheng, Ian Davidson:
Knowledge Guided Short-Text Classification for Healthcare Applications. 31-40 - Feng Chen, Baojian Zhou, Adil Alim, Liang Zhao:
A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks. 41-50 - Pin-Yu Chen, Lingfei Wu:
Revisiting Spectral Graph Clustering with Generative Community Models. 51-60 - Yi Cui, Di Xiao, Daren B. H. Cline, Dmitri Loguinov:
Improving I/O Complexity of Triangle Enumeration. 61-70 - Miguel Ramos de Araujo, Pedro Manuel Pinto Ribeiro, Christos Faloutsos:
TensorCast: Forecasting with Context Using Coupled Tensors (Best Paper Award). 71-80 - Dingxiong Deng, Cyrus Shahabi, Ugur Demiryurek, Linhong Zhu:
Situation Aware Multi-task Learning for Traffic Prediction. 81-90 - Yi Ding, Chenghao Liu, Peilin Zhao, Steven C. H. Hoi:
Large Scale Kernel Methods for Online AUC Maximization. 91-100 - Huang Fang, Minhao Cheng, Cho-Jui Hsieh:
A Hyperplane-Based Algorithm for Semi-Supervised Dimension Reduction. 101-110 - Yifeng Gao, Jessica Lin, Huzefa Rangwala:
IterativE Grammar-Based Framework for Discovering Variable-Length Time Series Motifs. 111-116 - Shaghayegh Gharghabi, Yifei Ding, Chin-Chia Michael Yeh, Kaveh Kamgar, Liudmila Ulanova, Eamonn J. Keogh:
Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels. 117-126 - Fatemeh Sheikholeslami, Georgios B. Giannakis:
Overlapping Community Detection via Constrained PARAFAC: A Divide and Conquer Approach. 127-136 - Qilong Gu, Joshua D. Trzasko, Arindam Banerjee:
Scalable Algorithms for Locally Low-Rank Matrix Modeling. 137-146 - Jin He, Lei Li, Xindong Wu:
A Self-Adaptive Sliding Window Based Topic Model for Non-uniform Texts. 147-156 - Xiao He, Thomas Gumbsch, Damian Roqueiro, Karsten M. Borgwardt:
Kernel Conditional Clustering. 157-166 - Ji Hu, Zidong Yang, Yuanchao Shu, Peng Cheng, Jiming Chen:
Data-Driven Utilization-Aware Trip Advisor for Bike-Sharing Systems. 167-176 - Tsuyoshi Idé, Dzung T. Phan, Jayant Kalagnanam:
Multi-task Multi-modal Models for Collective Anomaly Detection. 177-186 - Di Jin, Danai Koutra:
Exploratory Analysis of Graph Data by Leveraging Domain Knowledge. 187-196 - Janis Kalofolias, Mario Boley, Jilles Vreeken:
Efficiently Discovering Locally Exceptional Yet Globally Representative Subgroups. 197-206 - Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian J. McAuley:
Visually-Aware Fashion Recommendation and Design with Generative Image Models. 207-216 - Ambika Kaul, Saket Maheshwary, Vikram Pudi:
AutoLearn - Automated Feature Generation and Selection. 217-226 - Pigi Kouki, Jay Pujara, Christopher Marcum, Laura M. Koehly, Lise Getoor:
Collective Entity Resolution in Familial Networks. 227-236 - Alan Kuhnle, Victoria G. Crawford, My T. Thai:
Scalable and Adaptive Algorithms for the Triangle Interdiction Problem on Billion-Scale Networks. 237-246 - Fabien Labernia, Bruno Zanuttini, Brice Mayag, Florian Yger, Jamal Atif:
Online Learning of Acyclic Conditional Preference Networks from Noisy Data. 247-256 - Trung Le, Khanh Nguyen, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung:
GoGP: Fast Online Regression with Gaussian Processes. 257-266 - Jianbo Li, Jingrui He, Yada Zhu:
HiMuV: Hierarchical Framework for Modeling Multi-modality Multi-resolution Data. 267-276 - Xiaosheng Li, Jessica Lin:
Linear Time Complexity Time Series Classification with Bag-of-Pattern-Features. 277-286 - Rui Liu, Soumya Ray:
An Analysis of Boosted Linear Classifiers on Noisy Data with Applications to Multiple-Instance Learning. 287-296 - Xinyue Liu, Yuanfang Song, Charu C. Aggarwal, Yao Zhang, Xiangnan Kong:
BiCycle: Item Recommendation with Life Cycles. 297-306 - Alexander Marx, Jilles Vreeken:
Telling Cause from Effect Using MDL-Based Local and Global Regression. 307-316 - Armin Moharrer, Stratis Ioannidis:
Distributing Frank-Wolfe via Map-Reduce. 317-326 - Christopher Morris, Kristian Kersting, Petra Mutzel:
Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs. 327-336 - Hung T. Nguyen, Tri P. Nguyen, NhatHai Phan, Thang N. Dinh:
Importance Sketching of Influence Dynamics in Billion-Scale Networks. 337-346 - Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh:
Bayesian Optimization in Weakly Specified Search Space. 347-356 - Masafumi Oyamada, Shinji Nakadai:
Relational Mixture of Experts: Explainable Demographics Prediction with Behavioral Data. 357-366 - Gaurav Pandey, Ambedkar Dukkipati:
Unsupervised Feature Learning with Discriminative Encoder. 367-376 - Jiwoong Park, Taejeong Kim:
Learning Doubly Stochastic Affinity Matrix via Davis-Kahan Theorem. 377-384 - NhatHai Phan, Xintao Wu, Han Hu, Dejing Dou:
Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning. 385-394 - Minghui Qiu, Peilin Zhao, Ke Zhang, Jun Huang, Xing Shi, Xiaoguang Wang, Wei Chu:
A Short-Term Rainfall Prediction Model Using Multi-task Convolutional Neural Networks. 395-404 - Tara Safavi, Chandra Sekhar Sripada, Danai Koutra:
Scalable Hashing-Based Network Discovery. 405-414 - Neha Sengupta, Michael Hamann, Dorothea Wagner:
Benchmark Generator for Dynamic Overlapping Communities in Networks. 415-424 - Usman Shahid, Shehroze Farooqi, Raza Ahmad, Zubair Shafiq, Padmini Srinivasan, Fareed Zaffar:
Accurate Detection of Automatically Spun Content via Stylometric Analysis. 425-434 - Dear Sungbok Shin, Minsuk Choi, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry L. Drake, Haesun Park, Jaegul Choo:
STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event Detection. 435-444 - Tao Sun, Daniel Sheldon, Brendan O'Connor:
A Probabilistic Approach for Learning with Label Proportions Applied to the US Presidential Election. 445-454 - Duru Türkoglu, Ata Turk:
Edge-Based Wedge Sampling to Estimate Triangle Counts in Very Large Graphs. 455-464 - Binghui Wang, Neil Zhenqiang Gong, Hao Fu:
GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graphs. 465-474 - Jia Wang, Vincent W. Zheng, Zemin Liu, Kevin Chen-Chuan Chang:
Topological Recurrent Neural Network for Diffusion Prediction. 475-484 - Lu Wang, Yan Li, Jiayu Zhou, Dongxiao Zhu, Jieping Ye:
Multi-task Survival Analysis. 485-494 - Yang Wang, Wuji Chen, Wei Zheng, He Huang, Wen Zhang, Hengchang Liu:
Tracking Hit-and-Run Vehicle with Sparse Video Surveillance Cameras and Mobile Taxicabs. 495-504 - Yaqing Wang, Fenglong Ma, Lu Su, Jing Gao:
Discovering Truths from Distributed Data. 505-514 - Yu Wang, Qinghua Hu, Yucan Zhou, Hong Zhao, Yuhua Qian, Jiye Liang:
Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification. 515-524 - Haoyi Xiong, Wei Cheng, Wenqing Hu, Jiang Bian, Zhishan Guo:
AWDA: An Adaptive Wishart Discriminant Analysis. 525-534 - Guangxu Xun, Kishlay Jha, Vishrawas Gopalakrishnan, Yaliang Li, Aidong Zhang:
Generating Medical Hypotheses Based on Evolutionary Medical Concepts. 535-544 - Dingqi Yang, Bin Li, Laura Rettig, Philippe Cudré-Mauroux:
HistoSketch: Fast Similarity-Preserving Sketching of Streaming Histograms with Concept Drift. 545-554 - Li Ye, Hong Xie, Weijie Wu, John C. S. Lui:
Mining Customer Valuations to Optimize Product Bundling Strategy. 555-564 - Chin-Chia Michael Yeh, Nickolas Kavantzas, Eamonn J. Keogh:
Matrix Profile VI: Meaningful Multidimensional Motif Discovery. 565-574 - Changchang Yin, Buyue Qian, Shilei Cao, Xiaoyu Li, Jishang Wei, Qinghua Zheng, Ian Davidson:
Deep Similarity-Based Batch Mode Active Learning with Exploration-Exploitation. 575-584 - Hongzhi Yin, Hongxu Chen, Xiaoshuai Sun, Hao Wang, Yang Wang, Quoc Viet Hung Nguyen:
SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior Prediction. 585-594 - Jaemin Yoo, Saehan Jo, U Kang:
Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks. 595-604 - Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu:
BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder. 605-614 - Yao Zhang, Arvind Ramanathan, Anil Vullikanti, Laura L. Pullum, B. Aditya Prakash:
Data-Driven Immunization. 615-624 - Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu:
Online and Distributed Robust Regressions Under Adversarial Data Corruption. 625-634 - He Zhao, Lan Du, Wray L. Buntine, Gang Liu:
MetaLDA: A Topic Model that Efficiently Incorporates Meta Information. 635-644 - Huan Zhao, Quanming Yao, James T. Kwok, Dik Lun Lee:
Collaborative Filtering with Social Local Models. 645-654 - Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Ziting Zhou, Kai Zheng, Victor S. Sheng, Hui Xiong:
Exploiting Hierarchical Structures for POI Recommendation. 655-664 - Weizhong Zhao, Gang Chen, Xiaowei Xu:
AnySCAN: An Efficient Anytime Framework with Active Learning for Large-Scale Network Clustering. 665-674 - Shuo Zhou, Sarah M. Erfani, James Bailey:
SCED: A General Framework for Sparse Tensor Decomposition with Constraints and Elementwise Dynamic Learning. 675-684 - Yao Zhou, Jingrui He:
A Randomized Approach for Crowdsourcing in the Presence of Multiple Views. 685-694 - Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn J. Keogh:
Matrix Profile VII: Time Series Chains: A New Primitive for Time Series Data Mining (Best Student Paper Award). 695-704 - Ali Ziat, Edouard Delasalles, Ludovic Denoyer, Patrick Gallinari:
Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery. 705-714
Short Papers
- Gergely Ács, Luca Melis, Claude Castelluccia, Emiliano De Cristofaro:
Differentially Private Mixture of Generative Neural Networks. 715-720 - Aman Ahuja, Wei Wei, Wei Lu, Kathleen M. Carley, Chandan K. Reddy:
A Probabilistic Geographical Aspect-Opinion Model for Geo-Tagged Microblogs. 721-726 - Reinald Kim Amplayo, Seung-won Hwang:
Aspect Sentiment Model for Micro Reviews. 727-732 - Ehsan Mohammady Ardehaly, Aron Culotta:
Mining the Demographics of Political Sentiment from Twitter Using Learning from Label Proportions. 733-738 - Laura Azzimonti, Giorgio Corani, Marco Zaffalon:
Hierarchical Multinomial-Dirichlet Model for the Estimation of Conditional Probability Tables. 739-744 - Jiang Bian, Haoyi Xiong, Wei Cheng, Wenqing Hu, Zhishan Guo, Yanjie Fu:
Multi-party Sparse Discriminant Learning. 745-750 - Kailash Budhathoki, Jilles Vreeken:
MDL for Causal Inference on Discrete Data. 751-756 - Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli:
Efficient Mining of Subsample-Stable Graph Patterns. 757-762 - Kechao Cai, Kun Chen, Longbo Huang, John C. S. Lui:
Multi-level Feedback Web Links Selection Problem: Learning and Optimization. 763-768 - Bokai Cao, Mia Mao, Siim Viidu, Philip S. Yu:
HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks. 769-774 - Diego Carrera, Beatrice Rossi, Pasqualina Fragneto, Giacomo Boracchi:
Domain Adaptation for Online ECG Monitoring. 775-780 - Tanmoy Chakraborty:
EC3: Combining Clustering and Classification for Ensemble Learning. 781-786 - Zhengping Che, Yu Cheng, Shuangfei Zhai, Zhaonan Sun, Yan Liu:
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records. 787-792 - Morteza Haghir Chehreghani:
Clustering by Shift. 793-798 - Morteza Haghir Chehreghani:
Efficient Computation of Pairwise Minimax Distance Measures. 799-804 - Can Chen, Junming Liu, Qiao Li, Yijun Wang, Hui Xiong, Shanshan Wu:
Warehouse Site Selection for Online Retailers in Inter-Connected Warehouse Networks. 805-810 - Huiyuan Chen, Jing Li:
Learning Multiple Similarities of Users and Items in Recommender Systems. 811-816 - Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu:
Learning to Fuse Music Genres with Generative Adversarial Dual Learning. 817-822 - Giovanni Cherubini, Yusik Kim, Mark A. Lantz, Vinodh Venkatesan:
Data Prefetching for Large Tiered Storage Systems. 823-828 - Eric Chu, Deb Roy:
Audio-Visual Sentiment Analysis for Learning Emotional Arcs in Movies. 829-834 - Ruifei Cui, Perry Groot, Tom Heskes:
Robust Estimation of Gaussian Copula Causal Structure from Mixed Data with Missing Values. 835-840 - Daniel J. DiTursi, Gregorios A. Katsios, Petko Bogdanov:
Network Clocks: Detecting the Temporal Scale of Information Diffusion. 841-846 - Daniel J. DiTursi, Gaurav Ghosh, Petko Bogdanov:
Local Community Detection in Dynamic Networks. 847-852 - Sepehr Eghbali, Mohammad Hassan Zokaei Ashtiani, Ladan Tahvildari:
Online Nearest Neighbor Search in Binary Space. 853-858 - Prashant Shiralkar, Alessandro Flammini, Filippo Menczer, Giovanni Luca Ciampaglia:
Finding Streams in Knowledge Graphs to Support Fact Checking. 859-864 - Germain Forestier, François Petitjean, Hoang Anh Dau, Geoffrey I. Webb, Eamonn J. Keogh:
Generating Synthetic Time Series to Augment Sparse Datasets. 865-870 - Hongyang Gao, Shuiwang Ji:
Efficient and Invariant Convolutional Neural Networks for Dense Prediction. 871-876 - Sebastian Goebl, Srijan Kumar, Christos Faloutsos:
Spectral Lens: Explainable Diagnostics, Tools and Discoveries in Directed, Weighted Graphs. 877-882 - Jamal Golmohammadi, Imme Ebert-Uphoff, Sijie He, Yi Deng, Arindam Banerjee:
High-Dimensional Dependency Structure Learning for Physical Processes. 883-888 - Chen Gong, Hengmin Zhang, Jian Yang, Dacheng Tao:
Learning with Inadequate and Incorrect Supervision. 889-894 - Riccardo Guidotti, Giulio Rossetti, Luca Pappalardo, Fosca Giannotti, Dino Pedreschi:
Market Basket Prediction Using User-Centric Temporal Annotated Recurring Sequences. 895-900 - Chao Han, Qingyao Wu, Michael K. Ng, Jiezhang Cao, Mingkui Tan, Jian Chen:
Tensor Based Relations Ranking for Multi-relational Collective Classification. 901-906 - Chuan Hu, Huiping Cao, Qixu Gong:
Sub-Gibbs Sampling: A New Strategy for Inferring LDA. 907-912 - Biwei Huang, Kun Zhang, Jiji Zhang, Ruben Sanchez-Romero, Clark Glymour, Bernhard Schölkopf:
Behind Distribution Shift: Mining Driving Forces of Changes and Causal Arrows. 913-918 - Wenzhen Huang, Peipei Yang, Kaiqi Huang:
A Self-Paced Category-Aware Approach for Unsupervised Adaptation Networks. 919-924 - Xin Huang, Yulia R. Gel:
CRAD: Clustering with Robust Autocuts and Depth. 925-930 - Bhushan Kulkarni, Sumit Agarwal, Abir De, Sourangshu Bhattacharya, Niloy Ganguly:
SLANT+: A Nonlinear Model for Opinion Dynamics in Social Networks. 931-936 - Paul Lagrée, Olivier Cappé, Bogdan Cautis, Silviu Maniu:
Effective Large-Scale Online Influence Maximization. 937-942 - Konstantina Lazaridou, Ralf Krestel, Felix Naumann:
Identifying Media Bias by Analyzing Reported Speech. 943-948 - Ting Li, Yiming Zhang, Dongsheng Li, Xinwang Liu, Yuxing Peng:
Fast Compressive Spectral Clustering. 949-954 - Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Philip S. Yu, Jian Wu:
A Broad Learning Approach for Context-Aware Mobile Application Recommendation. 955-960 - Bang Liu, Borislav Mavrin, Linglong Kong, Di Niu:
Recover Fine-Grained Spatial Data from Coarse Aggregation. 961-966 - Guixiang Ma, Chun-Ta Lu, Lifang He, Philip S. Yu, Ann B. Ragin:
Multi-view Graph Embedding with Hub Detection for Brain Network Analysis. 967-972 - Xiao Ma, Xiaofeng Gao, Guihai Chen:
BEEP: A Bayesian Perspective Early Stage Event Prediction Model for Online Social Networks. 973-978 - Fady Medhat, David Chesmore, John Robinson:
Automatic Classification of Music Genre Using Masked Conditional Neural Networks. 979-984 - Shogo Murai:
Theoretically and Empirically High Quality Estimation of Closeness Centrality. 985-990 - Antônio Cavalcante Araújo Neto, Jörg Sander, Ricardo J. G. B. Campello, Mario A. Nascimento:
Efficient Computation of Multiple Density-Based Clustering Hierarchies. 991-996 - Stefan Neumann, Pauli Miettinen:
Reductions for Frequency-Based Data Mining Problems. 997-1002 - Jingchao Ni, Wei Cheng, Kai Zhang, Dongjin Song, Tan Yan, Haifeng Chen, Xiang Zhang:
Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems. 1003-1008 - Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang:
Automated Medical Diagnosis by Ranking Clusters Across the Symptom-Disease Network. 1009-1014 - Lin Ning, Randall Pittman, Xipeng Shen:
LCD: A Fast Contrastive Divergence Based Algorithm for Restricted Boltzmann Machine. 1015-1020 - Tianyi Pan, Alan Kuhnle, Xiang Li, My T. Thai:
Dynamic Propagation Rates: New Dimension to Viral Marketing in Online Social Networks. 1021-1026 - Pengfei Wei, Yiping Ke, Chi-Keong Goh:
Domain Specific Feature Transfer for Hybrid Domain Adaptation. 1027-1032 - Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh, Louis-Philippe Morency:
Multi-level Multiple Attentions for Contextual Multimodal Sentiment Analysis. 1033-1038 - Amin Javari, Hongxiang Qiu, Elham Barzegaran, Mahdi Jalili, Kevin Chen-Chuan Chang:
Statistical Link Label Modeling for Sign Prediction: Smoothing Sparsity by Joining Local and Global Information. 1039-1044 - Sanguthevar Rajasekaran, Subrata Saha, Xingyu Cai:
Novel Exact and Approximate Algorithms for the Closest Pair Problem. 1045-1050 - Samantha Sanders, Christophe G. Giraud-Carrier:
Informing the Use of Hyperparameter Optimization Through Metalearning. 1051-1056 - Saket Sathe, Charu C. Aggarwal, Xiangnan Kong, Xinyue Liu:
Kernel-Based Feature Extraction for Collaborative Filtering. 1057-1062 - João Saúde, Guilherme Ramos, Carlos Caleiro, Soummya Kar:
Reputation-Based Ranking Systems and Their Resistance to Bribery. 1063-1068 - Neil Shah, Hemank Lamba, Alex Beutel, Christos Faloutsos:
The Many Faces of Link Fraud. 1069-1074 - Junming Shao, Chongming Gao, Wei Zeng, Jingkuan Song, Qinli Yang:
Synchronization-Inspired Co-Clustering and Its Application to Gene Expression Data. 1075-1080 - Junming Shao, Zhongjing Yu, Peiyan Li, Wei Han, Christian Sorg, Qinli Yang:
Exploring Common and Distinct Structural Connectivity Patterns Between Schizophrenia and Major Depression via Cluster-Driven Nonnegative Matrix Factorization. 1081-1086 - Kijung Shin:
WRS: Waiting Room Sampling for Accurate Triangle Counting in Real Graph Streams. 1087-1092 - Yanchao Sun, Cong Qian, Ning Yang, Philip S. Yu:
Collaborative Inference of Coexisting Information Diffusions. 1093-1098 - Farzaneh Tabataba, Bryan L. Lewis, Milad Hosseinipour, Foroogh S. Tabataba, Srinivasan Venkatramanan, Jiangzhuo Chen, Dave Higdon, Madhav V. Marathe:
Epidemic Forecasting Framework Combining Agent-Based Models and Smart Beam Particle Filtering. 1099-1104 - Koh Takeuchi, Hisashi Kashima, Naonori Ueda:
Autoregressive Tensor Factorization for Spatio-Temporal Predictions. 1105-1110 - Fei Tan, Chaoran Cheng, Zhi Wei:
Time-Aware Latent Hierarchical Model for Predicting House Prices. 1111-1116 - Antti Ukkonen:
Crowdsourced Correlation Clustering with Relative Distance Comparisons. 1117-1122 - Nikhita Vedula, Wei Sun, Hyunhwan Lee, Harsh Gupta, Mitsunori Ogihara, Joseph Johnson, Gang Ren, Srinivasan Parthasarathy:
Multimodal Content Analysis for Effective Advertisements on YouTube. 1123-1128 - Jindong Wang, Yiqiang Chen, Shuji Hao, Wenjie Feng, Zhiqi Shen:
Balanced Distribution Adaptation for Transfer Learning. 1129-1134 - Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas:
DPiSAX: Massively Distributed Partitioned iSAX. 1135-1140 - Ming Yu, Varun Gupta, Mladen Kolar:
An Influence-Receptivity Model for Topic Based Information Cascades. 1141-1146 - Xiaotian Yu, Irwin King, Michael R. Lyu:
Risk Control of Best Arm Identification in Multi-armed Bandits via Successive Rejects. 1147-1152 - Shuai Yuan, Jiayu Zhou, Pang-Ning Tan, C. Emi Fergus, Tyler Wagner, Patricia A. Soranno:
Multi-level Multi-task Learning for Modeling Cross-Scale Interactions in Nested Geospatial Data. 1153-1158 - Ye Yuan, Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang:
Wave2Vec: Learning Deep Representations for Biosignals. 1159-1164 - Tao Zeng, Bian Wu, Jiayu Zhou, Ian Davidson, Shuiwang Ji:
Recurrent Encoder-Decoder Networks for Time-Varying Dense Prediction. 1165-1170 - Yan Zhao, Xiao Fang, David Simchi-Levi:
A Practically Competitive and Provably Consistent Algorithm for Uplift Modeling. 1171-1176 - Xiangyu Zhao, Tong Xu, Yanjie Fu, Enhong Chen, Hao Guo:
Incorporating Spatio-Temporal Smoothness for Air Quality Inference. 1177-1182 - Chen Zhang, Hao Wang, Hui Xiong:
An Automatic Approach for Transit Advertising in Public Transportation Systems. 1183-1188 - Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan:
iNEAT: Incomplete Network Alignment. 1189-1194 - Wei Zhang, Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang, Li Zhang, Bowen Zhou, Fei Wang:
GaDei: On Scale-Up Training as a Service for Deep Learning. 1195-1200 - Weifeng Zhi, Buyue Qian, Ian Davidson:
Scalable Constrained Spectral Clustering via the Randomized Projected Power Method. 1201-1206 - Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou:
New Class Adaptation Via Instance Generation in One-Pass Class Incremental Learning. 1207-1212 - Yifeng Gao, Jessica Lin:
Efficient discovery of time series motifs with large length range in million scale time series. 1213-1222
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