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ORCID21st KDD 2015: Sydney, NSW, Australia
- Longbing Cao, Chengqi Zhang, Thorsten Joachims, Geoffrey I. Webb, Dragos D. Margineantu, Graham Williams:
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015. ACM 2015, ISBN 978-1-4503-3664-2
Keynote Talks
- Ron Kohavi:
Online Controlled Experiments: Lessons from Running A/B/n Tests for 12 Years. 1 - Daphne Koller:
MOOCS: What Have We Learned? 3 - Susan Athey
:
Machine Learning and Causal Inference for Policy Evaluation. 5-6 - Hugh F. Durrant-Whyte:
Data, Knowledge and Discovery: Machine Learning meets Natural Science. 7
Research Paper Presentations (Part 1)
- Sungjin Ahn, Anoop Korattikara, Nathan Liu, Suju Rajan, Max Welling:
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC. 9-18 - Tim Althoff, Xin Luna Dong, Kevin Murphy, Safa Alai, Van Dang, Wei Zhang:
TimeMachine: Timeline Generation for Knowledge-Base Entities. 19-28 - Laurent Amsaleg, Oussama Chelly, Teddy Furon, Stéphane Girard, Michael E. Houle, Ken-ichi Kawarabayashi, Michael Nett:
Estimating Local Intrinsic Dimensionality. 29-38 - Émilien Antoine, Adam Jatowt, Shoko Wakamiya, Yukiko Kawai, Toyokazu Akiyama:
Portraying Collective Spatial Attention in Twitter. 39-48 - Nurjahan Begum, Liudmila Ulanova, Jun Wang, Eamonn J. Keogh:
Accelerating Dynamic Time Warping Clustering with a Novel Admissible Pruning Strategy. 49-58 - Albert Bifet, Gianmarco De Francisci Morales, Jesse Read, Geoff Holmes, Bernhard Pfahringer:
Efficient Online Evaluation of Big Data Stream Classifiers. 59-68 - Karla L. Caballero Barajas, Ram Akella:
Dynamically Modeling Patient's Health State from Electronic Medical Records: A Time Series Approach. 69-78 - Yongjie Cai, Hanghang Tong, Wei Fan, Ping Ji, Qing He:
Facets: Fast Comprehensive Mining of Coevolving High-order Time Series. 79-88 - Lei Cao, Mingrui Wei, Di Yang, Elke A. Rundensteiner:
Online Outlier Exploration Over Large Datasets. 89-98 - Shayok Chakraborty, Vineeth Nallure Balasubramanian, Adepu Ravi Sankar, Sethuraman Panchanathan, Jieping Ye:
BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification. 99-108 - Tanmoy Chakraborty, Sikhar Patranabis, Pawan Goyal, Animesh Mukherjee:
On the Formation of Circles in Co-authorship Networks. 109-118 - Shiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang:
Heterogeneous Network Embedding via Deep Architectures. 119-128 - Rui Chen, Qian Xiao, Yu Zhang, Jianliang Xu:
Differentially Private High-Dimensional Data Publication via Sampling-Based Inference. 129-138 - Flavio Chierichetti, Alessandro Epasto, Ravi Kumar, Silvio Lattanzi, Vahab S. Mirrokni:
Efficient Algorithms for Public-Private Social Networks. 139-148 - Bo-Yu Chu, Chia-Hua Ho, Cheng-Hao Tsai, Chieh-Yen Lin, Chih-Jen Lin:
Warm Start for Parameter Selection of Linear Classifiers. 149-158 - Edith Cohen:
Stream Sampling for Frequency Cap Statistics. 159-168 - Corinna Cortes, Mehryar Mohri, Andres Muñoz Medina:
Adaptation Algorithm and Theory Based on Generalized Discrepancy. 169-178 - Zhicheng Cui, Wenlin Chen, Yujie He, Yixin Chen:
Optimal Action Extraction for Random Forests and Boosted Trees. 179-188 - Robin Devooght, Nicolas Kourtellis, Amin Mantrach:
Dynamic Matrix Factorization with Priors on Unknown Values. 189-198 - Yuxiao Dong, Jing Zhang, Jie Tang, Nitesh V. Chawla, Bai Wang:
CoupledLP: Link Prediction in Coupled Networks. 199-208 - Liang Du, Yi-Dong Shen:
Unsupervised Feature Selection with Adaptive Structure Learning. 209-218 - Nan Du, Mehrdad Farajtabar, Amr Ahmed, Alexander J. Smola, Le Song:
Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams. 219-228 - Ethan R. Elenberg, Karthikeyan Shanmugam, Michael Borokhovich, Alexandros G. Dimakis:
Beyond Triangles: A Distributed Framework for Estimating 3-profiles of Large Graphs. 229-238 - Kai Fan, Marisa C. Eisenberg, Alison Walsh, Allison Aiello, Katherine A. Heller:
Hierarchical Graph-Coupled HMMs for Heterogeneous Personalized Health Data. 239-248 - Dan Feldman, Tamir Tassa:
More Constraints, Smaller Coresets: Constrained Matrix Approximation of Sparse Big Data. 249-258 - Michael Feldman, Sorelle A. Friedler, John Moeller, Carlos Scheidegger, Suresh Venkatasubramanian:
Certifying and Removing Disparate Impact. 259-268 - Alceu Ferraz Costa, Yuto Yamaguchi, Agma Juci Machado Traina, Caetano Traina Jr., Christos Faloutsos:
RSC: Mining and Modeling Temporal Activity in Social Media. 269-278 - Jeffrey Fisher, Peter Christen, Qing Wang, Erhard Rahm:
A Clustering-Based Framework to Control Block Sizes for Entity Resolution. 279-288 - Seth R. Flaxman, Yu-Xiang Wang, Alexander J. Smola:
Who Supported Obama in 2012?: Ecological Inference through Distribution Regression. 289-298 - Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Yong Ge, Hengshu Zhu, Chen Zhu:
Real Estate Ranking via Mixed Land-use Latent Models. 299-308 - Yasuhiro Fujiwara, Makoto Nakatsuji, Hiroaki Shiokawa, Yasutoshi Ida, Machiko Toyoda:
Adaptive Message Update for Fast Affinity Propagation. 309-318 - Moshe Gabel, Daniel Keren, Assaf Schuster:
Monitoring Least Squares Models of Distributed Streams. 319-328 - Matthias Gallé, Matías Tealdi:
Reconstructing Textual Documents from n-grams. 329-338 - Hongchang Gao, Lin Yan, Weidong Cai, Heng Huang:
Anatomical Annotations for Drosophila Gene Expression Patterns via Multi-Dimensional Visual Descriptors Integration: Multi-Dimensional Feature Learning. 339-348 - Jinyang Gao, H. V. Jagadish, Beng Chin Ooi, Sheng Wang:
Selective Hashing: Closing the Gap between Radius Search and k-NN Search. 349-358 - David F. Gleich, Michael W. Mahoney:
Using Local Spectral Methods to Robustify Graph-Based Learning Algorithms. 359-368 - Jen J. Gong, Thoralf M. Sundt, James D. Rawn, John V. Guttag:
Instance Weighting for Patient-Specific Risk Stratification Models. 369-378 - Aditya Grover, Ashish Kapoor, Eric Horvitz:
A Deep Hybrid Model for Weather Forecasting. 379-386 - David Hallac, Jure Leskovec, Stephen P. Boyd:
Network Lasso: Clustering and Optimization in Large Graphs. 387-396 - Lei Han, Yu Zhang:
Learning Tree Structure in Multi-Task Learning. 397-406 - Yu Han, Jie Tang:
Probabilistic Community and Role Model for Social Networks. 407-416 - Kohei Hayashi, Takanori Maehara, Masashi Toyoda, Ken-ichi Kawarabayashi:
Real-Time Top-R Topic Detection on Twitter with Topic Hijack Filtering. 417-426 - Yangyang Hou, Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon:
Non-exhaustive, Overlapping Clustering via Low-Rank Semidefinite Programming. 427-436 - Hsun-Ping Hsieh, Shou-De Lin, Yu Zheng:
Inferring Air Quality for Station Location Recommendation Based on Urban Big Data. 437-446 - Shuhei Iitsuka, Yutaka Matsuo:
Website Optimization Problem and Its Solutions. 447-456 - Bo Jiang, Zhi-Li Zhang, Don Towsley:
Reciprocity in Social Networks with Capacity Constraints. 457-466 - Fredrik D. Johansson, Devdatt P. Dubhashi:
Learning with Similarity Functions on Graphs using Matchings of Geometric Embeddings. 467-476 - Nicholas Johnson, Arindam Banerjee:
Structured Hedging for Resource Allocations with Leverage. 477-486 - Ata Kabán:
Improved Bounds on the Dot Product under Random Projection and Random Sign Projection. 487-496 - Mojtaba Kadkhodaie, Konstantina Christakopoulou, Maziar Sanjabi, Arindam Banerjee:
Accelerated Alternating Direction Method of Multipliers. 497-506 - Zhengping Che, David C. Kale, Wenzhe Li, Mohammad Taha Bahadori, Yan Liu:
Deep Computational Phenotyping. 507-516 - Janani Kalyanam, Amin Mantrach, Diego Sáez-Trumper, Hossein Vahabi, Gert R. G. Lanckriet:
Leveraging Social Context for Modeling Topic Evolution. 517-526 - Alexandros Karakasidis, Georgia Koloniari, Vassilios S. Verykios:
Scalable Blocking for Privacy Preserving Record Linkage. 527-536 - Noriaki Kawamae:
Real Time Recommendations from Connoisseurs. 537-546 - Emre Kiciman, Matthew Richardson:
Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships From Social Media. 547-556 - Daniel Kifer:
On Estimating the Swapping Rate for Categorical Data. 557-566 - Hannah Kim, Jaegul Choo, Jingu Kim, Chandan K. Reddy, Haesun Park:
Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization. 567-576 - Taehwan Kim, Yisong Yue, Sarah L. Taylor, Iain A. Matthews:
A Decision Tree Framework for Spatiotemporal Sequence Prediction. 577-586 - Younghoon Kim, Jiawei Han, Cangzhou Yuan:
TOPTRAC: Topical Trajectory Pattern Mining. 587-596 - Dimitrios Kotzias, Misha Denil, Nando de Freitas, Padhraic Smyth:
From Group to Individual Labels Using Deep Features. 597-606 - Srijan Kumar, Francesca Spezzano, V. S. Subrahmanian:
VEWS: A Wikipedia Vandal Early Warning System. 607-616 - Chia-Tung Kuo, Xiang Wang, Peter B. Walker, Owen T. Carmichael, Jieping Ye, Ian Davidson:
Unified and Contrasting Cuts in Multiple Graphs: Application to Medical Imaging Segmentation. 617-626 - Chao Lan, Jun Huan:
Reducing the Unlabeled Sample Complexity of Semi-Supervised Multi-View Learning. 627-634 - Jaewoo Lee, Yue Wang, Daniel Kifer:
Maximum Likelihood Postprocessing for Differential Privacy under Consistency Constraints. 635-644 - Siyu Lei, Silviu Maniu, Luyi Mo, Reynold Cheng, Pierre Senellart:
Online Influence Maximization. 645-654 - Liangyue Li, Hanghang Tong:
The Child is Father of the Man: Foresee the Success at the Early Stage. 655-664 - Ping Li:
0-Bit Consistent Weighted Sampling. 665-674 - Yaliang Li, Qi Li, Jing Gao, Lu Su, Bo Zhao, Wei Fan, Jiawei Han:
On the Discovery of Evolving Truth. 675-684 - Yongsub Lim, U Kang:
MASCOT: Memory-efficient and Accurate Sampling for Counting Local Triangles in Graph Streams. 685-694 - Su-Chen Lin, Shou-De Lin, Ming-Syan Chen:
A Learning-based Framework to Handle Multi-round Multi-party Influence Maximization on Social Networks. 695-704 - Chuanren Liu, Fei Wang, Jianying Hu, Hui Xiong:
Temporal Phenotyping from Longitudinal Electronic Health Records: A Graph Based Framework. 705-714 - Hongfu Liu, Tongliang Liu, Junjie Wu, Dacheng Tao, Yun Fu:
Spectral Ensemble Clustering. 715-724 - Felipe Llinares-López, Mahito Sugiyama, Laetitia Papaxanthos, Karsten M. Borgwardt:
Fast and Memory-Efficient Significant Pattern Mining via Permutation Testing. 725-734 - Brendan Lucier, Joel Oren, Yaron Singer:
Influence at Scale: Distributed Computation of Complex Contagion in Networks. 735-744 - Fenglong Ma, Yaliang Li, Qi Li, Minghui Qiu, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, Jiawei Han:
FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation. 745-754 - Mohammad Mahdian, Okke Schrijvers, Sergei Vassilvitskii:
Algorithmic Cartography: Placing Points of Interest and Ads on Maps. 755-764 - Qi Mao, Li Wang, Steve Goodison, Yijun Sun:
Dimensionality Reduction Via Graph Structure Learning. 765-774 - William B. March, Bo Xiao, Sameer Tharakan, Chenhan D. Yu, George Biros:
Robust Treecode Approximation for Kernel Machines. 775-784 - Julian J. McAuley, Rahul Pandey, Jure Leskovec:
Inferring Networks of Substitutable and Complementary Products. 785-794
Research Paper Presentations (Part 2)
- Bryan David Minor, Janardhan Rao Doppa, Diane J. Cook:
Data-Driven Activity Prediction: Algorithms, Evaluation Methodology, and Applications. 805-814 - Michael Mitzenmacher, Jakub Pachocki, Richard Peng, Charalampos E. Tsourakakis, Shen Chen Xu:
Scalable Large Near-Clique Detection in Large-Scale Networks via Sampling. 815-824 - Davide Mottin, Francesco Bonchi, Francesco Gullo:
Graph Query Reformulation with Diversity. 825-834 - Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang:
Flexible and Robust Multi-Network Clustering. 835-844 - Kirill Nikolaev, Alexey Drutsa, Ekaterina Gladkikh, Alexander Ulianov, Gleb Gusev, Pavel Serdyukov:
Extreme States Distribution Decomposition Method for Search Engine Online Evaluation. 845-854 - Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Hiroshi Ikai, Yuichi Imanaka:
Simultaneous Modeling of Multiple Diseases for Mortality Prediction in Acute Hospital Care. 855-864 - Jinoh Oh, Wook-Shin Han, Hwanjo Yu, Xiaoqian Jiang:
Fast and Robust Parallel SGD Matrix Factorization. 865-874 - Naoto Ohsaka, Takanori Maehara, Ken-ichi Kawarabayashi:
Efficient PageRank Tracking in Evolving Networks. 875-884 - Shota Okumura, Yoshiki Suzuki, Ichiro Takeuchi:
Quick Sensitivity Analysis for Incremental Data Modification and Its Application to Leave-one-out CV in Linear Classification Problems. 885-894 - Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu:
Non-transitive Hashing with Latent Similarity Components. 895-904 - Pan Chao, Qiming Huang, Michael Zhu:
Optimal Kernel Group Transformation for Exploratory Regression Analysis and Graphics. 905-914 - Christina Papagiannopoulou, Grigorios Tsoumakas, Ioannis Tsamardinos:
Discovering and Exploiting Deterministic Label Relationships in Multi-Label Learning. 915-924 - Chong Peng, Zhao Kang, Huiqing Li, Qiang Cheng:
Subspace Clustering Using Log-determinant Rank Approximation. 925-934 - Abdulhakim Ali Qahtan, Basma Alharbi, Suojin Wang, Xiangliang Zhang:
A PCA-Based Change Detection Framework for Multidimensional Data Streams: Change Detection in Multidimensional Data Streams. 935-944 - Guo-Jun Qi, Charu C. Aggarwal, Deepak S. Turaga, Daby M. Sow, Phil Anno:
State-Driven Dynamic Sensor Selection and Prediction with State-Stacked Sparseness. 945-954 - Shiyou Qian, Jian Cao, Frédéric Le Mouël, Issam Sahel, Minglu Li:
SCRAM: A Sharing Considered Route Assignment Mechanism for Fair Taxi Route Recommendations. 955-964 - Lu Qin, Rong-Hua Li, Lijun Chang, Chengqi Zhang:
Locally Densest Subgraph Discovery. 965-974 - Angeliki Rapti, Spyros Sioutas, Kostas Tsichlas, Giannis Tzimas:
Virus Propagation in Multiple Profile Networks. 975-984 - Shebuti Rayana, Leman Akoglu:
Collective Opinion Spam Detection: Bridging Review Networks and Metadata. 985-994 - Xiang Ren, Ahmed El-Kishky, Chi Wang, Fangbo Tao, Clare R. Voss, Jiawei Han:
ClusType: Effective Entity Recognition and Typing by Relation Phrase-Based Clustering. 995-1004 - Matteo Riondato, Eli Upfal:
Mining Frequent Itemsets through Progressive Sampling with Rademacher Averages. 1005-1014 - Yu Rong, Hong Cheng, Zhiyu Mo:
Why It Happened: Identifying and Modeling the Reasons of the Happening of Social Events. 1015-1024 - Natali Ruchansky, Mark Crovella, Evimaria Terzi:
Matrix Completion with Queries. 1025-1034 - Issei Sato, Hiroshi Nakagawa:
Stochastic Divergence Minimization for Online Collapsed Variational Bayes Zero Inference of Latent Dirichlet Allocation. 1035-1044 - Aaron Schein, John W. Paisley, David M. Blei, Hanna M. Wallach:
Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts. 1045-1054 - Neil Shah, Danai Koutra, Tianmin Zou, Brian Gallagher, Christos Faloutsos:
TimeCrunch: Interpretable Dynamic Graph Summarization. 1055-1064 - Dafna Shahaf, Eric Horvitz, Robert Mankoff:
Inside Jokes: Identifying Humorous Cartoon Captions. 1065-1074 - Junming Shao, Zhichao Han, Qinli Yang, Tao Zhou:
Community Detection based on Distance Dynamics. 1075-1084 - Mohammad Shokoohi-Yekta, Yanping Chen, Bilson J. L. Campana, Bing Hu, Jesin Zakaria, Eamonn J. Keogh:
Discovery of Meaningful Rules in Time Series. 1085-1094 - Julian Shun:
An Evaluation of Parallel Eccentricity Estimation Algorithms on Undirected Real-World Graphs. 1095-1104 - Dongjin Song, David A. Meyer, Dacheng Tao:
Efficient Latent Link Recommendation in Signed Networks. 1105-1114 - Shaoxu Song, Chunping Li, Xiaoquan Zhang:
Turn Waste into Wealth: On Simultaneous Clustering and Cleaning over Dirty Data. 1115-1124 - Stergios Stergiou, Kostas Tsioutsiouliklis:
Set Cover at Web Scale. 1125-1133 - Yu Su, Shengqi Yang, Huan Sun, Mudhakar Srivatsa, Sue Kase, Michelle Vanni, Xifeng Yan:
Exploiting Relevance Feedback in Knowledge Graph Search. 1135-1144 - Zhaonan Sun, Fei Wang, Jianying Hu:
LINKAGE: An Approach for Comprehensive Risk Prediction for Care Management. 1145-1154 - Ben Tan, Yangqiu Song, Erheng Zhong, Qiang Yang:
Transitive Transfer Learning. 1155-1164