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SIGMOD/PODS '10
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This DVD contains the proceedings of the
16th ACM SIGKDD International Conference on Knowledge Discovery
and Data Mining (KDD 2010),
which was held from July 25-28, 2010 in Washington, D.C., USA.
You may use the "  PDF"
link to retrieve the paper,
and the other links to find more information on the paper.
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Qi Lu
Data mining in the online services industry 1-2
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Yoav Freund
Data winnowing 3-4
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Konrad Feldman
The quantification of advertising: (+ lessons from building businesses based on large scale data mining) 5-6
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David Chan, Rong Ge, Ori Gershony, Tim Hesterberg, Diane Lambert
Evaluating online ad campaigns in a pipeline: causal models at scale 7-16
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Diane Tang, Ashish Agarwal, Deirdre O'Brien, Mike Meyer
Overlapping experiment infrastructure: more, better, faster experimentation 17-26
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Wei Li, Xuerui Wang, Ruofei Zhang, Ying Cui, Jianchang Mao, Rong Jin
Exploitation and exploration in a performance based contextual advertising system 27-36
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Hillol Kargupta, Kakali Sarkar, Michael Gilligan
MineFleet®: an overview of a widely adopted distributed vehicle performance data mining system 37-46
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Santanu Das, Bryan L. Matthews, Ashok N. Srivastava, Nikunj C. Oza
Multiple kernel learning for heterogeneous anomaly detection: algorithm and aviation safety case study 47-56
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Saurabh Goorha, Lyle Ungar
Discovery of significant emerging trends 57-64
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Mohit Kumar, Rayid Ghani, Zhu-Song Mei
Data mining to predict and prevent errors in health insurance claims processing 65-74
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Naoki Abe, Prem Melville, Cezar Pendus, Chandan K. Reddy, David L. Jensen, Vince P. Thomas, James J. Bennett, Gary F. Anderson, Brent R. Cooley, Melissa Kowalczyk, Mark Domick, Timothy Gardinier
Optimizing debt collections using constrained reinforcement learning 75-84
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Longbing Cao, Yuming Ou, Philip S. Yu, Gang Wei
Detecting abnormal coupled sequences and sequence changes in group-based manipulative trading behaviors 85-94
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Yanfang Ye, Tao Li, Yong Chen, Qingshan Jiang
Automatic malware categorization using cluster ensemble 95-104
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Mehran Bozorgi, Lawrence K. Saul, Stefan Savage, Geoffrey M. Voelker
Beyond heuristics: learning to classify vulnerabilities and predict exploits 105-114
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Evan K. Maxwell, Godmar Back, Naren Ramakrishnan
Diagnosing memory leaks using graph mining on heap dumps 115-124
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Li Zheng, Chao Shen, Liang Tang, Tao Li, Steven Luis, Shu-Ching Chen, Vagelis Hristidis
Using data mining techniques to address critical information exchange needs in disaster affected public-private networks 125-134
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Shen-Shyang Ho, Wenqing Tang, W. Timothy Liu
Tropical cyclone event sequence similarity search via dimensionality reduction and metric learning 135-144
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Collin Bennett, Robert L. Grossman, David Locke, Jonathan Seidman, Steve Vejcik
Malstone: towards a benchmark for analytics on large data clouds 145-152
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Furu Wei, Shixia Liu, Yangqiu Song, Shimei Pan, Michelle X. Zhou, Weihong Qian, Lei Shi, Li Tan, Qiang Zhang
TIARA: a visual exploratory text analytic system 153-162
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Keith Henderson, Tina Eliassi-Rad, Christos Faloutsos, Leman Akoglu, Lei Li, Koji Maruhashi, B. Aditya Prakash, Hanghang Tong
Metric forensics: a multi-level approach for mining volatile graphs 163-172
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Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos
Active learning for biomedical citation screening 173-182
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Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Kuang Chiu, Junling Hu, Honglak Lee
An integrated machine learning approach to stroke prediction 183-192
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Yan Yan, Glenn Fung, Jennifer G. Dy, Rómer Rosales
Medical coding classification by leveraging inter-code relationships 193-202
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Chi Wang, Jiawei Han, Yuntao Jia, Jie Tang, Duo Zhang, Yintao Yu, Jingyi Guo
Mining advisor-advisee relationships from research publication networks 203-212
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Deepak Agarwal, Rahul Agrawal, Rajiv Khanna, Nagaraj Kota
Estimating rates of rare events with multiple hierarchies through scalable log-linear models 213-222
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Ramakrishnan Srikant, Sugato Basu, Ni Wang, Daryl Pregibon
User browsing models: relevance versus examination 223-232
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Maayan Roth, Assaf Ben-David, David Deutscher, Guy Flysher, Ilan Horn, Ari Leichtberg, Naty Leiser, Yossi Matias, Ron Merom
Suggesting friends using the implicit social graph 233-242
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Ryan Lichtenwalter, Jake T. Lussier, Nitesh V. Chawla
New perspectives and methods in link prediction 243-252
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Vincent S. Tseng, Cheng-Wei Wu, Bai-En Shie, Philip S. Yu
UP-Growth: an efficient algorithm for high utility itemset mining 253-262
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Salvatore Ruggieri
Frequent regular itemset mining 263-272
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Liwen Sun, Reynold Cheng, David W. Cheung, Jiefeng Cheng
Mining uncertain data with probabilistic guarantees 273-282
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Hoang Thanh Lam, Toon Calders
Mining top-k frequent items in a data stream with flexible sliding windows 283-292
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Nikolaj Tatti
Probably the best itemsets 293-302
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Jun Zhu, Ni Lao, Eric P. Xing
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields 303-312
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Liang Sun, Betul Ceran, Jieping Ye
A scalable two-stage approach for a class of dimensionality reduction techniques 313-322
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Jun Liu, Lei Yuan, Jieping Ye
An efficient algorithm for a class of fused lasso problems 323-332
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Deng Cai, Chiyuan Zhang, Xiaofei He
Unsupervised feature selection for multi-cluster data 333-342
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Jian-Bo Yang, Chong Jin Ong
Feature selection for support vector regression using probabilistic prediction 343-352
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Xin Jin, Mingyang Zhang, Nan Zhang, Gautam Das
Versatile publishing for privacy preservation 353-362
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Keng-Pei Lin, Ming-Syan Chen
Privacy-preserving outsourcing support vector machines with random transformation 363-372
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Zhen Wen, Ching-Yung Lin
On the quality of inferring interests from social neighbors 373-382
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Smruti R. Sarangi, Karin Murthy
DUST: a generalized notion of similarity between uncertain time series 383-392
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Vincent Leroy, Berkant Barla Cambazoglu, Francesco Bonchi
Cold start link prediction 393-402
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Xu-Ying Liu, Zhi-Hua Zhou
Learning with cost intervals 403-412
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Iris Adä, Michael R. Berthold
The new iris data: modular data generators 413-422
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Josh Attenberg, Foster J. Provost
Why label when you can search?: alternatives to active learning for applying human resources to build classification models under extreme class imbalance 423-432
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Qiong Fang, Wilfred Ng, Jianlin Feng
Discovering significant relaxed order-preserving submatrices 433-442
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Dan He, D. Stott Parker
Topic dynamics: an alternative model of bursts in streams of topics 443-452
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Naren Sundaravaradan, K. S. M. Tozammel Hossain, Vandana Sreedharan, Douglas J. Slotta, John Paul C. Vergara, Lenwood S. Heath, Naren Ramakrishnan
Extracting temporal signatures for comprehending systems biology models 453-462
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Jinyan Li, Qian Liu, Tao Zeng
Negative correlations in collaboration: concepts and algorithms 463-472
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Chih-Hua Tai, Philip S. Yu, Ming-Syan Chen
k-Support anonymity based on pseudo taxonomy for outsourcing of frequent itemset mining 473-482
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Bin Yang, Hiroshi Nakagawa, Issei Sato, Jun Sakuma
Collusion-resistant privacy-preserving data mining 483-492
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Arik Friedman, Assaf Schuster
Data mining with differential privacy 493-502
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Raghav Bhaskar, Srivatsan Laxman, Adam Smith, Abhradeep Thakurta
Discovering frequent patterns in sensitive data 503-512
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Purnamrita Sarkar, Andrew W. Moore
Fast nearest-neighbor search in disk-resident graphs 513-522
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Saeed Alaei, Ravi Kumar, Azarakhsh Malekian, Erik Vee
Balanced allocation with succinct representation 523-532
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Hossein Maserrat, Jian Pei
Neighbor query friendly compression of social networks 533-542
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Guoming He, Haijun Feng, Cuiping Li, Hong Chen
Parallel SimRank computation on large graphs with iterative aggregation 543-552
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Ravi Kumar, Mohammad Mahdian, Mary McGlohon
Dynamics of conversations 553-562
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Xiang Wang, Ian Davidson
Flexible constrained spectral clustering 563-572
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Xuan Hong Dang, James Bailey
A hierarchical information theoretic technique for the discovery of non linear alternative clusterings 573-582
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Christian Böhm, Claudia Plant, Junming Shao, Qinli Yang
Clustering by synchronization 583-592
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M. Shahriar Hossain, Satish Tadepalli, Layne T. Watson, Ian Davidson, Richard F. Helm, Naren Ramakrishnan
Unifying dependent clustering and disparate clustering for non-homogeneous data 593-602
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William B. March, Parikshit Ram, Alexander G. Gray
Fast euclidean minimum spanning tree: algorithm, analysis, and applications 603-612
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Jian-Guang Lou, Qiang Fu, Shengqi Yang, Jiang Li, Bin Wu
Mining program workflow from interleaved traces 613-622
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Dafna Shahaf, Carlos Guestrin
Connecting the dots between news articles 623-632
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Zhaonian Zou, Hong Gao, Jianzhong Li
Discovering frequent subgraphs over uncertain graph databases under probabilistic semantics 633-642
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Hongliang Fei, Jun Huan
Boosting with structure information in the functional space: an application to graph classification 643-652
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Seungil Huh, Stephen E. Fienberg
Discriminative topic modeling based on manifold learning 653-662
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Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, Naonori Ueda
Online multiscale dynamic topic models 663-672
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Issei Sato, Hiroshi Nakagawa
Topic models with power-law using Pitman-Yor process 673-682
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Caimei Lu, Xiaohua Hu, Xin Chen, Jung-ran Park, Tingting He, Zhoujun Li
The topic-perspective model for social tagging systems 683-692
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Michael Jahrer, Andreas Töscher, Robert A. Legenstein
Combining predictions for accurate recommender systems 693-702
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Deepak Agarwal, Bee-Chung Chen, Pradheep Elango
Fast online learning through offline initialization for time-sensitive recommendation 703-712
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Harald Steck
Training and testing of recommender systems on data missing not at random 713-722
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Liang Xiang, Quan Yuan, Shiwan Zhao, Li Chen, Xiatian Zhang, Qing Yang, Jimeng Sun
Temporal recommendation on graphs via long- and short-term preference fusion 723-732
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Gengxin Miao, Louise E. Moser, Xifeng Yan, Shu Tao, Yi Chen, Nikos Anerousis
Generative models for ticket resolution in expert networks 733-742
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Chi-Hoon Lee
Learning to combine discriminative classifiers: confidence based 743-752
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Yuefeng Li, Abdulmohsen Algarni, Ning Zhong
Mining positive and negative patterns for relevance feature discovery 753-762
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Guan Yu, Ruizhang Huang, Zhaojun Wang
Document clustering via dirichlet process mixture model with feature selection 763-772
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Frank Reichartz, Hannes Korte, Gerhard Paass
Semantic relation extraction with kernels over typed dependency trees 773-782
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Hongning Wang, Yue Lu, Chengxiang Zhai
Latent aspect rating analysis on review text data: a rating regression approach 783-792
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Xiangnan Kong, Philip S. Yu
Semi-supervised feature selection for graph classification 793-802
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Christopher DuBois, Padhraic Smyth
Modeling relational events via latent classes 803-812
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Jing Gao, Feng Liang, Wei Fan, Chi Wang, Yizhou Sun, Jiawei Han
On community outliers and their efficient detection in information networks 813-822
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Dan Preston, Carla E. Brodley, Roni Khardon, Damien Sulla-Menashe, Mark A. Friedl
Redefining class definitions using constraint-based clustering: an application to remote sensing of the earth's surface 823-832
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Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin
Large linear classification when data cannot fit in memory 833-842
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Ryan J. Prenger, Tracy D. Lemmond, Kush R. Varshney, Barry Y. Chen, William G. Hanley
Class-specific error bounds for ensemble classifiers 843-852
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Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu
Designing efficient cascaded classifiers: tradeoff between accuracy and cost 853-860
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Chuancong Gao, Jianyong Wang
Direct mining of discriminative patterns for classifying uncertain data 861-870
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Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard
Ensemble pruning via individual contribution ordering 871-880
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Ni Lao, William W. Cohen
Fast query execution for retrieval models based on path-constrained random walks 881-888
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Freddy Chong Tat Chua, Ee-Peng Lim
Trust network inference for online rating data using generative models 889-898
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Yong Ge, Hui Xiong, Alexander Tuzhilin, Keli Xiao, Marco Gruteser, Michael J. Pazzani
An energy-efficient mobile recommender system 899-908
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Manas Somaiya, Christopher M. Jermaine, Sanjay Ranka
Mixture models for learning low-dimensional roles in high-dimensional data 909-918
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Siyuan Liu, Yunhuai Liu, Lionel M. Ni, Jianping Fan, Minglu Li
Towards mobility-based clustering 919-928
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Cindy Xide Lin, Bo Zhao, Qiaozhu Mei, Jiawei Han
PET: a statistical model for popular events tracking in social communities 929-938
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Mauro Sozio, Aristides Gionis
The community-search problem and how to plan a successful cocktail party 939-948
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Anon Plangprasopchok, Kristina Lerman, Lise Getoor
Growing a tree in the forest: constructing folksonomies by integrating structured metadata 949-958
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Dawei Yin, Zhenzhen Xue, Liangjie Hong, Brian D. Davison
A probabilistic model for personalized tag prediction 959-968
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Xiaojiang Liu, Zaiqing Nie, Nenghai Yu, Ji-Rong Wen
BioSnowball: automated population of Wikis 969-978
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D. Sculley
Combined regression and ranking 979-988
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Kai Ming Ting, Guang-Tong Zhou, Fei Tony Liu, James Swee Chuan Tan
Mass estimation and its applications 989-998
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Min-Ling Zhang, Kun Zhang
Multi-label learning by exploiting label dependency 999-1008
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Qiaozhu Mei, Jian Guo, Dragomir R. Radev
DivRank: the interplay of prestige and diversity in information networks 1009-1018
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Manuel Gomez-Rodriguez, Jure Leskovec, Andreas Krause
Inferring networks of diffusion and influence 1019-1028
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Wei Chen, Chi Wang, Yajun Wang
Scalable influence maximization for prevalent viral marketing in large-scale social networks 1029-1038
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Yu Wang, Gao Cong, Guojie Song, Kunqing Xie
Community-based greedy algorithm for mining top-K influential nodes in mobile social networks 1039-1048
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Chenhao Tan, Jie Tang, Jimeng Sun, Quan Lin, Fengjiao Wang
Social action tracking via noise tolerant time-varying factor graphs 1049-1058
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Theodoros Lappas, Evimaria Terzi, Dimitrios Gunopulos, Heikki Mannila
Finding effectors in social networks 1059-1068
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Feng Chen, Chang-Tien Lu, Arnold P. Boedihardjo
GLS-SOD: a generalized local statistical approach for spatial outlier detection 1069-1078
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Jianwen Zhang, Yangqiu Song, Changshui Zhang, Shixia Liu
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora 1079-1088
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Abdullah Mueen, Eamonn J. Keogh
Online discovery and maintenance of time series motifs 1089-1098
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Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, Peter Nye
Mining periodic behaviors for moving objects 1099-1108
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Zhenxing Wang, Laiwan Chan
An efficient causal discovery algorithm for linear models 1109-1118
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Robert J. Durrant, Ata Kaban
Compressed fisher linear discriminant analysis: classification of randomly projected data 1119-1128
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Junfeng He, Wei Liu, Shih-Fu Chang
Scalable similarity search with optimized kernel hashing 1129-1138
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Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, Peng Liu
Semi-supervised sparse metric learning using alternating linearization optimization 1139-1148
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Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian
Universal multi-dimensional scaling 1149-1158
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Tianbao Yang, Rong Jin, Anil K. Jain, Yang Zhou, Wei Tong
Unsupervised transfer classification: application to text categorization 1159-1168
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Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh
Nonnegative shared subspace learning and its application to social media retrieval 1169-1178
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Jianhui Chen, Ji Liu, Jieping Ye
Learning incoherent sparse and low-rank patterns from multiple tasks 1179-1188
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Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang, Belle L. Tseng
Multi-task learning for boosting with application to web search ranking 1189-1198
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Yu Zhang, Dit-Yan Yeung
Transfer metric learning by learning task relationships 1199-1208
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Hillol Kargupta, Joao Gama, Wei Fan
The next generation of transportation systems, greenhouse emissions, and data mining 1209-1212
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Copyright © 2010 Association for Computing Machinery
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