17. KDD 2011: San Diego, CA, USA

Keynote address 1

• Stephen Boyd:
  Convex optimization: from embedded real-time to large-scale distributed. 1
  

Keynote address 2

• Peter Norvig:
  Internet scale data analysis. 2
  

Keynote address 3

• David Haussler:
  Cancer genomics. 3-4
  

Keynote address 4

• Judea Pearl:
  The mathematics of causal inference. 5
  

Classification

• Leland Wilkinson, Anushka Anand, Dang Tuan Nhon:
  CHIRP: a new classifier based on composite hypercubes on iterated random projections. 6-14
  
• Sagar Chaki, Cory Cohen, Arie Gurfinkel:
  Supervised learning for provenance-similarity of binaries. 15-23
  
• Zhuang Wang, Nemanja Djuric, Koby Crammer, Slobodan Vucetic:
  Trading representability for scalability: adaptive multi-hyperplane machine for nonlinear classification. 24-32
  
• Guo-Xun Yuan, Chia-Hua Ho, Chih-Jen Lin:
  An improved GLMNET for l1-regularized logistic regression. 33-41
  

Matrix factorization

• Jianhui Chen, Jiayu Zhou, Jieping Ye:
  Integrating low-rank and group-sparse structures for robust multi-task learning. 42-50
  
• Pauli Miettinen, Jilles Vreeken:
  Model order selection for boolean matrix factorization. 51-59
  
• David F. Gleich, Lek-Heng Lim:
  Rank aggregation via nuclear norm minimization. 60-68
  
• Rainer Gemulla, Erik Nijkamp, Peter J. Haas, Yannis Sismanis:
  Large-scale matrix factorization with distributed stochastic gradient descent. 69-77
  

Graph analysis

• Avinava Dubey, Soumen Chakrabarti, Chiranjib Bhattacharyya:
  Diversity in ranking via resistive graph centers. 78-86
  
• Galileo Namata, Stanley Kok, Lise Getoor:
  Collective graph identification. 87-95
  
• Bin Gao, Tie-Yan Liu, Wei Wei, Taifeng Wang, Hang Li:
  Semi-supervised ranking on very large graphs with rich metadata. 96-104
  
• Arun S. Maiya, Tanya Y. Berger-Wolf:
  Benefits of bias: towards better characterization of network sampling. 105-113
  

Web user modeling

• Amr Ahmed, Yucheng Low, Mohamed Aly, Vanja Josifovski, Alexander J. Smola:
  Scalable distributed inference of dynamic user interests for behavioral targeting. 114-122
  
• Yucheng Low, Deepak Agarwal, Alexander J. Smola:
  Multiple domain user personalization. 123-131
  
• Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang:
  Click shaping to optimize multiple objectives. 132-140
  
• Aditya Krishna Menon, Krishna Prasad Chitrapura, Sachin Garg, Deepak Agarwal, Nagaraj Kota:
  Response prediction using collaborative filtering with hierarchies and side-information. 141-149
  

User modeling

• Pedro Henrique Calais Guerra, Adriano Veloso, Wagner Meira Jr., Virgilio Almeida:
  From bias to opinion: a transfer-learning approach to real-time sentiment analysis. 150-158
  
• Bee-Chung Chen, Jian Guo, Belle L. Tseng, Jie Yang:
  User reputation in a comment rating environment. 159-167
  
• Panayiotis Tsaparas, Alexandros Ntoulas, Evimaria Terzi:
  Selecting a comprehensive set of reviews. 168-176
  

Online data and streams

• Peng Zhang, Jun Li, Peng Wang, Byron J. Gao, Xingquan Zhu, Li Guo:
  Enabling fast prediction for ensemble models on data streams. 177-185
  
• Josh Attenberg, Foster J. Provost:
  Online active inference and learning. 186-194
  
• Wei Chu, Martin Zinkevich, Lihong Li, Achint Thomas, Belle L. Tseng:
  Unbiased online active learning in data streams. 195-203
  
• Hamed Valizadegan, Rong Jin, Shijun Wang:
  Learning to trade off between exploration and exploitation in multiclass bandit prediction. 204-212
  

Deployed 1

• Kunal Mukerjee, Todd Porter, Sorin Gherman:
  Linear scale semantic mining algorithms in microsoft SQL server's semantic platform. 213-221
  
• Yanfang Ye, Tao Li, Shenghuo Zhu, Weiwei Zhuang, Egemen Tas, Umesh Gupta, Melih Abdulhayoglu:
  Combining file content and file relations for cloud based malware detection. 222-230
  
• Ron Bekkerman, Matan Gavish:
  High-precision phrase-based document classification on a modern scale. 231-239
  
• Feng Chen, Jing Dai, Bingsheng Wang, Sambit Sahu, Milind R. Naphade, Chang-Tien Lu:
  Activity analysis based on low sample rate smart meters. 240-248
  

Deployed 2

• Ahmed Metwally, Matt Paduano:
  Estimating the number of users behind ip addresses for combating abusive traffic. 249-257
  
• Xuhui Shao, Lexin Li:
  Data-driven multi-touch attribution models. 258-264
  
• Ying Cui, Ruofei Zhang, Wei Li, Jianchang Mao:
  Bid landscape forecasting in online ad exchange marketplace. 265-273
  
• D. Sculley, Matthew Eric Otey, Michael Pohl, Bridget Spitznagel, John Hainsworth, Yunkai Zhou:
  Detecting adversarial advertisements in the wild. 274-282
  

Discovery

• Li Zheng, Chao Shen, Liang Tang, Tao Li, Steven Luis, Shu-Ching Chen:
  Applying data mining techniques to address disaster information management challenges on mobile devices. 283-291
  
• Chunyu Luo, Hui Xiong, Wenjun Zhou, Yanhong Guo, Guishi Deng:
  Enhancing investment decisions in P2P lending: an investor composition perspective. 292-300
  
• Daniel P. McCloskey, Michael E. Kress, Susan P. Imberman, Igor Kushnir, Susan Briffa-Mirabella:
  From market baskets to mole rats: using data mining techniques to analyze RFID data describing laboratory animal behavior. 301-306
  
• Prasad Gabbur, Sharath Pankanti, Quanfu Fan, Hoang Trinh:
  A pattern discovery approach to retail fraud detection. 307-315
  

Emerging 1

• Jing Yuan, Yu Zheng, Xing Xie, Guangzhong Sun:
  Driving with knowledge from the physical world. 316-324
  
• Rayid Ghani, Mohit Kumar:
  Interactive learning for efficiently detecting errors in insurance claims. 325-333
  
• Amol Ghoting, Prabhanjan Kambadur, Edwin P. D. Pednault, Ramakrishnan Kannan:
  NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce. 334-342
  
• Dean Cerrato, Rosie Jones, Avinash Gupta:
  Classification of proxy labeled examples for marketing segment generation. 343-350
  
• Rakesh Agrawal, Samuel Ieong, Raja Velu:
  Ameliorating buyer's remorse. 351-359
  

Emerging 2

• Debprakash Patnaik, Patrick Butler, Naren Ramakrishnan, Laxmi Parida, Benjamin J. Keller, David A. Hanauer:
  Experiences with mining temporal event sequences from electronic medical records: initial successes and some challenges. 360-368
  
• György J. Simon, Peter W. Li, Clifford R. Jack Jr., Prashanthi Vemuri:
  Understanding atrophy trajectories in alzheimer's disease using association rules on MRI images. 369-376
  
• Bruno Pradel, Savaneary Sean, Julien Delporte, Sébastien Guérif, Céline Rouveirol, Nicolas Usunier, Françoise Fogelman-Soulié, Frédéric Dufau-Joël:
  A case study in a recommender system based on purchase data. 377-385
  
• Feilong Chen, Supranamaya Ranjan, Pang-Ning Tan:
  Detecting bots via incremental LS-SVM learning with dynamic feature adaptation. 386-394
  
• Hani Neuvirth, Michal Ozery-Flato, Jianying Hu, Jonathan Laserson, Martin S. Kohn, Shahram Ebadollahi, Michal Rosen-Zvi:
  Toward personalized care management of patients at risk: the diabetes case study. 395-403
  

Emerging 3

• Anitha Kannan, Inmar E. Givoni, Rakesh Agrawal, Ariel Fuxman:
  Matching unstructured product offers to structured product specifications. 404-412
  
• Mikhail Bilenko, Matthew Richardson:
  Predictive client-side profiles for personalized advertising. 413-421
  
• Jimmy Lin, Rion Snow, William Morgan:
  Smoothing techniques for adaptive online language models: topic tracking in tweet streams. 422-429
  
• Marco Pennacchiotti, Ana-Maria Popescu:
  Democrats, republicans and starbucks afficionados: user classification in twitter. 430-438
  

Text mining 1

• Khalid El-Arini, Carlos Guestrin:
  Beyond keyword search: discovering relevant scientific literature. 439-447
  
• Chong Wang, David M. Blei:
  Collaborative topic modeling for recommending scientific articles. 448-456
  
• Daniel Ramage, Christopher D. Manning, Susan T. Dumais:
  Partially labeled topic models for interpretable text mining. 457-465
  

Text mining 2

• Tristan Mark Snowsill, Nick Fyson, Tijl De Bie, Nello Cristianini:
  Refining causality: who copied from whom? 466-474
  
• Jun Zhu, Ni Lao, Ning Chen, Eric P. Xing:
  Conditional topical coding: an efficient topic model conditioned on rich features. 475-483
  
• Liangjie Hong, Dawei Yin, Jian Guo, Brian D. Davison:
  Tracking trends: incorporating term volume into temporal topic models. 484-492
  

Privacy

• Noman Mohammed, Rui Chen, Benjamin C. M. Fung, Philip S. Yu:
  Differentially private data release for data mining. 493-501
  
• Binh Luong Thanh, Salvatore Ruggieri, Franco Turini:
  k-NN as an implementation of situation testing for discrimination discovery and prevention. 502-510
  
• Pritam Gundecha, Geoffrey Barbier, Huan Liu:
  Exploiting vulnerability to secure user privacy on a social networking site. 511-519
  

Social networks

• Mao Ye, Dong Shou, Wang-Chien Lee, Peifeng Yin, Krzysztof Janowicz:
  On the semantic annotation of places in location-based social networks. 520-528
  
• Michael Mathioudakis, Francesco Bonchi, Carlos Castillo, Aristides Gionis, Antti Ukkonen:
  Sparsification of influence networks. 529-537
  
• Mahashweta Das, Gautam Das, Vagelis Hristidis:
  Leveraging collaborative tagging for web item design. 538-546
  

Theory

• Michael Brückner, Tobias Scheffer:
  Stackelberg games for adversarial prediction problems. 547-555
  
• Shachar Kaufman, Saharon Rosset, Claudia Perlich:
  Leakage in data mining: formulation, detection, and avoidance. 556-563
  
• Tijl De Bie:
  An information theoretic framework for data mining. 564-572
  

Frequent sets

• Michael Mampaey, Nikolaj Tatti, Jilles Vreeken:
  Tell me what i need to know: succinctly summarizing data with itemsets. 573-581
  
• Mario Boley, Claudio Lucchese, Daniel Paurat, Thomas Gärtner:
  Direct local pattern sampling by efficient two-step random procedures. 582-590
  
• Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Ricard Gavaldà:
  Mining frequent closed graphs on evolving data streams. 591-599
  

Text mining 3

• David Andrzejewski, David Buttler:
  Latent topic feedback for information retrieval. 600-608
  
• Deepak Agarwal, Bee-Chung Chen, Bo Long:
  Localized factor models for multi-context recommendation. 609-617
  
• Hongning Wang, Yue Lu, ChengXiang Zhai:
  Latent aspect rating analysis without aspect keyword supervision. 618-626
  

Unsupervised learning

• Parikshit Ram, Alexander G. Gray:
  Density estimation trees. 627-635
  
• David Applegate, Tamraparni Dasu, Shankar Krishnan, Simon Urbanek:
  Unsupervised clustering of multidimensional distributions using earth mover distance. 636-644
  
• Ryohei Fujimaki, Yasuhiro Sogawa, Satoshi Morinaga:
  Online heterogeneous mixture modeling with marginal and copula selection. 645-653
  

Graph mining

• Xiangnan Kong, Wei Fan, Philip S. Yu:
  Dual active feature and sample selection for graph classification. 654-662
  
• Keith Henderson, Brian Gallagher, Lei Li, Leman Akoglu, Tina Eliassi-Rad, Hanghang Tong, Christos Faloutsos:
  It's who you know: graph mining using recursive structural features. 663-671
  
• Shumo Chu, James Cheng:
  Triangle listing in massive networks and its applications. 672-680
  

Scalability

• Alina Ene, Sungjin Im, Benjamin Moseley:
  Fast clustering using MapReduce. 681-689
  
• Robson Leonardo Ferreira Cordeiro, Caetano Traina Jr., Agma Juci Machado Traina, Julio López, U. Kang, Christos Faloutsos:
  Clustering very large multi-dimensional datasets with MapReduce. 690-698
  
• Kai-Wei Chang, Dan Roth:
  Selective block minimization for faster convergence of limited memory large-scale linear models. 699-707
  

Predictive modeling

• Georgiana Ifrim, Carsten Wiuf:
  Bounded coordinate-descent for biological sequence classification in high dimensional predictor space. 708-716
  
• Rita Chattopadhyay, Jieping Ye, Sethuraman Panchanathan, Wei Fan, Ian Davidson:
  Multi-source domain adaptation and its application to early detection of fatigue. 717-725
  
• Panagiotis Achlioptas, Bernhard Schölkopf, Karsten M. Borgwardt:
  Two-locus association mapping in subquadratic time. 726-734
  

Demonstration track

• Yong Ge, Chuanren Liu, Hui Xiong, Jian Chen:
  A taxi business intelligence system. 735-738
  
• Duen Horng Chau, Aniket Kittur, Jason I. Hong, Christos Faloutsos:
  Apolo: interactive large graph sensemaking by combining machine learning and visualization. 739-742
  
• Jian Fan, Ping Luo, Suk Hwan Lim, Sam Liu, Joshi Parag, Jerry Liu:
  Article clipper: a system for web article extraction. 743-746
  
• Robert S. Sinkovits, Pietro Cicotti, Shawn Strande, Mahidhar Tatineni, Paul Rodriguez, Nicole Wolter, Natasha Balac:
  Data intensive analysis on the gordon high performance data and compute system. 747-748
  
• Jakub Piskorski, Martin Atkinson:
  Frontex real-time news event extraction framework. 749-752
  
• Xin Jin, Chi Wang, Jiebo Luo, Xiao Yu, Jiawei Han:
  LikeMiner: a system for mining the power of 'like' in social media networks. 753-756
  
• Bart Goethals, Sandy Moens, Jilles Vreeken:
  MIME: a framework for interactive visual pattern mining. 757-760
  
• Gustavo E. A. P. A. Batista, Eamonn J. Keogh, Agenor Mafra-Neto, Edgar Rowton:
  SIGKDD demo: sensors and software to allow computational entomology, an emerging application of data mining. 761-764
  
• Cheng-Te Li, Shou-De Lin:
  Social flocks: a crowd simulation framework for social network generation, community detection, and collective behavior modeling. 765-768
  
• Jie Tang, Sen Wu, Bo Gao, Yang Wan:
  Topic-level social network search. 769-772
  
• Harikrishna G. N. Rai, Kishore Jonna, P. Radha Krishna:
  Video analytics solution for tracking customer locations in retail shopping malls. 773-776
  

Industrial practice expo track

• David H. Reiley:
  "Which half Is wasted?": controlled experiments to measure online-advertising effectiveness. 777
  
• Mario E. Inchiosa:
  Accelerating large-scale data mining using in-database analytics. 778
  
• Ravi Vijayaraghavan, P. V. Kannan:
  Applications of data mining and machine learning in online customer care. 779
  
• Dan Steinberg, Felipe Fernandez Martinez:
  Broad scale predictive modeling and marketing optimization in retail sales. 780
  
• Paul A. Rejto:
  Knowledge discovery and data mining in pharmaceutical cancer research. 781
  
• Colleen McCue:
  Operational security analytics: doing more with less. 782
  
• Tai Hsu:
  Real-time risk control system for CNP (card not present). 783
  
• David Norton:
  The power of analysis and data. 784
  
• Richard Boire:
  The practitioner's viewpoint to data mining: key lessons learned in the trenches and case studies. 785
  
• John F. Elder IV:
  Thriving as a data miner in the real world. 786
  

Poster session

• Luís Torgo, Orlando Ohashi:
  2D-interval predictions for time series. 787-794
  
• Faris Alqadah, Raj Bhatnagar:
  A game theoretic framework for heterogenous information network clustering. 795-804
  
• Andrew Cotter, Nathan Srebro, Joseph Keshet:
  A GPU-tailored approach for training kernelized SVMs. 805-813
  
• Jiayu Zhou, Lei Yuan, Jun Liu, Jieping Ye:
  A multi-task learning formulation for predicting disease progression. 814-822
  
• György J. Simon, Vipin Kumar, Peter W. Li:
  A simple statistical model and association rule filtering for classification. 823-831
  
• Liangjie Hong, Byron Dom, Siva Gurumurthy, Kostas Tsioutsiouliklis:
  A time-dependent topic model for multiple text streams. 832-840
  
• Cristopher Moore, Xiaoran Yan, Yaojia Zhu, Jean-Baptiste Rouquier, Terran Lane:
  Active learning for node classification in assortative and disassortative networks. 841-849
  
• Chris Mesterharm, Michael J. Pazzani:
  Active learning using on-line algorithms. 850-858
  
• Kanishka Bhaduri, Bryan L. Matthews, Chris Giannella:
  Algorithms for speeding up distance-based outlier detection. 859-867
  
• Hardy Kremer, Philipp Kranen, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer:
  An effective evaluation measure for clustering on evolving data streams. 868-876
  
• Xueyuan Zhou, Mikhail Belkin, Nathan Srebro:
  An iterated graph laplacian approach for ranking on manifolds. 877-885
  
• Ruoyi Jiang, Hongliang Fei, Jun Huan:
  Anomaly localization for network data streams with graph joint sparse PCA. 886-894
  
• Radha Chitta, Rong Jin, Timothy C. Havens, Anil K. Jain:
  Approximate kernel k-means: solution to large scale kernel clustering. 895-903
  
• Parisa Rashidi, Diane J. Cook:
  Ask me better questions: active learning queries based on rule induction. 904-912
  
• Yehuda Koren, Edo Liberty, Yoelle Maarek, Roman Sandler:
  Automatically tagging email by leveraging other users' folders. 913-921
  
• Ruoming Jin, Victor E. Lee, Hui Hong:
  Axiomatic ranking of network role similarity. 922-930
  
• Shuai Huang, Jing Li, Jieping Ye, Adam Fleisher, Kewei Chen, Teresa Wu, Eric Reiman:
  Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network. 931-939
  
• Francisco Pereira, Matthew Botvinick:
  Classification of functional magnetic resonance imaging data using informative pattern features. 940-946
  
• Eric Yi Liu, Zhaojun Zhang, Wei Wang:
  Clustering with relative constraints. 947-955
  
• Huahua Wang, Arindam Banerjee, Daniel Boley:
  Common component analysis for multiple covariance matrices. 956-964
  
• Hannu Toivonen, Fang Zhou, Aleksi Hartikainen, Atte Hinkka:
  Compression of weighted graphs. 965-973
  
• V. G. Vinod Vydiswaran, ChengXiang Zhai, Dan Roth:
  Content-driven trust propagation framework. 974-982
  
• Yong Ge, Qi Liu, Hui Xiong, Alexander Tuzhilin, Jian Chen:
  Cost-aware travel tour recommendation. 983-991
  
• Ruoming Jin, Lin Liu, Charu C. Aggarwal:
  Discovering highly reliable subgraphs in uncertain graphs. 992-1000
  
• Xiaoxiao Shi, Wei Fan, Jianping Zhang, Philip S. Yu:
  Discovering shakers from evolving entities via cascading graph inference. 1001-1009
  
• Wei Liu, Yu Zheng, Sanjay Chawla, Jing Yuan, Xie Xing:
  Discovering spatio-temporal causal interactions in traffic data streams. 1010-1018
  
• Panagiotis Papadimitriou, Hector Garcia-Molina, Prabhakar Krishnamurthy, Randall A. Lewis, David H. Reiley:
  Display advertising impact: search lift and social influence. 1019-1027
  
• Hanghang Tong, Jingrui He, Zhen Wen, Ravi Konuru, Ching-Yung Lin:
  Diversified ranking on large graphs: an optimization viewpoint. 1028-1036
  
• Saurabh Kataria, Krishnan S. Kumar, Rajeev Rastogi, Prithviraj Sen, Srinivasan H. Sengamedu:
  Entity disambiguation with hierarchical topic models. 1037-1045
  
• Salvatore Scellato, Anastasios Noulas, Cecilia Mascolo:
  Exploiting place features in link prediction on location-based social networks. 1046-1054
  
• Kazuo Aoyama, Kazumi Saito, Hiroshi Sawada, Naonori Ueda:
  Fast approximate similarity search based on degree-reduced neighborhood graphs. 1055-1063
  
• Cho-Jui Hsieh, Inderjit S. Dhillon:
  Fast coordinate descent methods with variable selection for non-negative matrix factorization. 1064-1072
  
• Anirban Dasgupta, Ravi Kumar, Tamás Sarlós:
  Fast locality-sensitive hashing. 1073-1081
  
• Eunjoon Cho, Seth A. Myers, Jure Leskovec:
  Friendship and mobility: user movement in location-based social networks. 1082-1090
  
• U. Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, Christos Faloutsos:
  GBASE: a scalable and general graph management system. 1091-1099
  
• Dashun Wang, Dino Pedreschi, Chaoming Song, Fosca Giannotti, Albert-László Barabási:
  Human mobility, social ties, and link prediction. 1100-1108
  
• Gideon Dror, Yehuda Koren, Yoelle Maarek, Idan Szpektor:
  I want to answer; who has a question?: Yahoo! answers recommender system. 1109-1117
  
• Amit Dhurandhar:
  Improving predictions using aggregate information. 1118-1126
  
• Claudia Plant, Christian Böhm:
  INCONCO: interpretable clustering of numerical and categorical objects. 1127-1135
  
• Sean Gilpin, Ian Davidson:
  Incorporating SAT solvers into hierarchical clustering algorithms: an efficient and flexible approach. 1136-1144
  
• Yan Liu, Pei-yun Hseuh, Rick Lawrence, Steve Meliksetian, Claudia Perlich, Alejandro Veen:
  Latent graphical models for quantifying and predicting patent quality. 1145-1153
  
• Abdullah Mueen, Eamonn J. Keogh, Neal Young:
  Logical-shapelets: an expressive primitive for time series classification. 1154-1162
  
• Puja Das, Arindam Banerjee:
  Meta optimization and its application to portfolio selection. 1163-1171
  
• Nikolaj Tatti, Boris Cule:
  Mining closed episodes with simultaneous events. 1172-1180
  
• Neal Lathia, Licia Capra:
  Mining mobility data to minimise travellers' spending on public transport. 1181-1189
  
• Roberto Trasarti, Fabio Pinelli, Mirco Nanni, Fosca Giannotti:
  Mining mobility user profiles for car pooling. 1190-1198
  
• Zhongang Qi, Ming Yang, Zhongfei (Mark) Zhang, Zhengyou Zhang:
  Mining partially annotated images. 1199-1207
  
• Dan Zhang, Jingrui He, Yan Liu, Luo Si, Richard D. Lawrence:
  Multi-view transfer learning with a large margin approach. 1208-1216
  
• Michaek Kwok-Po Ng, Xutao Li, Yunming Ye:
  MultiRank: co-ranking for objects and relations in multi-relational data. 1217-1225
  
• Charu C. Aggarwal, Yan Xie, Philip S. Yu:
  On dynamic data-driven selection of sensor streams. 1226-1234
  
• Pedram Pedarsani, Matthias Grossglauser:
  On the privacy of anonymized networks. 1235-1243
  
• Shan Jiang, Lidong Bing, Bai Sun, Yan Zhang, Wai Lam:
  Ontology enhancement and concept granularity learning: keeping yourself current and adaptive. 1244-1252
  
• Graham Cormode:
  Personal privacy vs population privacy: learning to attack anonymization. 1253-1261
  
• Chih-Hua Tai, Philip S. Yu, De-Nian Yang, Ming-Syan Chen:
  Privacy-preserving social network publication against friendship attacks. 1262-1270
  
• Hongbo Deng, Jiawei Han, Bo Zhao, Yintao Yu, Cindy Xide Lin:
  Probabilistic topic models with biased propagation on heterogeneous information networks. 1271-1279
  
• Xiao Jiang, Chengkai Li, Ping Luo, Min Wang, Yong Yu:
  Prominent streak discovery in sequence data. 1280-1288
  
• Byoungyoung Lee, Jinoh Oh, Hwanjo Yu, Jong Kim:
  Protecting location privacy using location semantics. 1289-1297
  
• Ming Ji, Jiawei Han, Marina Danilevsky:
  Ranking-based classification of heterogeneous information networks. 1298-1306
  
• Ye Chen, Pavel Berkhin, Bo Anderson, Nikhil R. Devanur:
  Real-time bidding algorithms for performance-based display ad allocation. 1307-1315
  
• Aris Gkoulalas-Divanis, Grigorios Loukides:
  Revisiting sequential pattern hiding to enhance utility. 1316-1324
  
• Nilesh N. Dalvi, Ravi Kumar, Ashwin Machanavajjhala, Vibhor Rastogi:
  Sampling hidden objects using nearest-neighbor oracles. 1325-1333
  
• Shrikant Kashyap, Panagiotis Karras:
  Scalable kNN search on vertically stored time series. 1334-1342
  
• Dan Zhang, Yan Liu, Luo Si:
  Serendipitous learning: learning beyond the predefined label space. 1343-1351
  
• Vuk Malbasa, Slobodan Vucetic:
  Spatially regularized logistic regression for disease mapping on large moving populations. 1352-1360
  
• Nagaraj Kota, Deepak Agarwal:
  Temporal multi-hierarchy smoothing for estimating rates of rare events. 1361-1369
  
• Lei Li, Chieh-Jan Mike Liang, Jie Liu, Suman Nath, Andreas Terzis, Christos Faloutsos:
  ThermoCast: a cyber-physical forecasting model for datacenters. 1370-1378
  
• Chedy Raïssi, Jian Pei:
  Towards bounding sequential patterns. 1379-1387
  
• Yuchen Zhang, Weizhu Chen, Dong Wang, Qiang Yang:
  User-click modeling for understanding and predicting search-behavior. 1388-1396
  
• Chenhao Tan, Lillian Lee, Jie Tang, Long Jiang, Ming Zhou, Ping Li:
  User-level sentiment analysis incorporating social networks. 1397-1405
  
• Sandeepkumar Satpal, Sahely Bhadra, Sundararajan Sellamanickam, Rajeev Rastogi, Prithviraj Sen:
  Web information extraction using markov logic networks. 1406-1414
  

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