Table of Contents

• Convex optimization: from embedded real-time to large-scale distributedStephen Boyd. 1 [doi]
• Internet scale data analysisPeter Norvig. 2 [doi]
• Cancer genomicsDavid Haussler. 3-4 [doi]
• The mathematics of causal inferenceJudea Pearl. 5 [doi]
• CHIRP: a new classifier based on composite hypercubes on iterated random projectionsLeland Wilkinson, Anushka Anand, Dang Tuan Nhon. 6-14 [doi]
• Supervised learning for provenance-similarity of binariesSagar Chaki, Cory Cohen, Arie Gurfinkel. 15-23 [doi]
• Trading representability for scalability: adaptive multi-hyperplane machine for nonlinear classificationZhuang Wang, Nemanja Djuric, Koby Crammer, Slobodan Vucetic. 24-32 [doi]
• An improved GLMNET for l1-regularized logistic regressionGuo-Xun Yuan, Chia-Hua Ho, Chih-Jen Lin. 33-41 [doi]
• Integrating low-rank and group-sparse structures for robust multi-task learningJianhui Chen, Jiayu Zhou, Jieping Ye. 42-50 [doi]
• Model order selection for boolean matrix factorizationPauli Miettinen, Jilles Vreeken. 51-59 [doi]
• Rank aggregation via nuclear norm minimizationDavid F. Gleich, Lek-Heng Lim. 60-68 [doi]
• Large-scale matrix factorization with distributed stochastic gradient descentRainer Gemulla, Erik Nijkamp, Peter J. Haas, Yannis Sismanis. 69-77 [doi]
• Diversity in ranking via resistive graph centersAvinava Dubey, Soumen Chakrabarti, Chiranjib Bhattacharyya. 78-86 [doi]
• Collective graph identificationGalileo Namata, Stanley Kok, Lise Getoor. 87-95 [doi]
• Semi-supervised ranking on very large graphs with rich metadataBin Gao, Tie-Yan Liu, Wei Wei, Taifeng Wang, Hang Li. 96-104 [doi]
• Benefits of bias: towards better characterization of network samplingArun S. Maiya, Tanya Y. Berger-Wolf. 105-113 [doi]
• Scalable distributed inference of dynamic user interests for behavioral targetingAmr Ahmed, Yucheng Low, Mohamed Aly, Vanja Josifovski, Alexander J. Smola. 114-122 [doi]
• Multiple domain user personalizationYucheng Low, Deepak Agarwal, Alexander J. Smola. 123-131 [doi]
• Click shaping to optimize multiple objectivesDeepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang. 132-140 [doi]
• Response prediction using collaborative filtering with hierarchies and side-informationAditya Krishna Menon, Krishna Prasad Chitrapura, Sachin Garg, Deepak Agarwal, Nagaraj Kota. 141-149 [doi]
• From bias to opinion: a transfer-learning approach to real-time sentiment analysisPedro Henrique Calais Guerra, Adriano Veloso, Wagner Meira Jr., Virgilio Almeida. 150-158 [doi]
• User reputation in a comment rating environmentBee-Chung Chen, Jian Guo, Belle Tseng, Jie Yang. 159-167 [doi]
• Selecting a comprehensive set of reviewsPanayiotis Tsaparas, Alexandros Ntoulas, Evimaria Terzi. 168-176 [doi]
• Enabling fast prediction for ensemble models on data streamsPeng Zhang, Jun Li, Peng Wang, Byron J. Gao, Xingquan Zhu, Li Guo. 177-185 [doi]
• Online active inference and learningJosh Attenberg, Foster J. Provost. 186-194 [doi]
• Unbiased online active learning in data streamsWei Chu, Martin Zinkevich, Lihong Li, Achint Thomas, Belle Tseng. 195-203 [doi]
• Learning to trade off between exploration and exploitation in multiclass bandit predictionHamed Valizadegan, Rong Jin, Shijun Wang. 204-212 [doi]
• Linear scale semantic mining algorithms in microsoft SQL server s semantic platformKunal Mukerjee, Todd Porter, Sorin Gherman. 213-221 [doi]
• Combining file content and file relations for cloud based malware detectionYanfang Ye, Tao Li, Shenghuo Zhu, Weiwei Zhuang, Egemen Tas, Umesh Gupta, Melih Abdulhayoglu. 222-230 [doi]
• High-precision phrase-based document classification on a modern scaleRon Bekkerman, Matan Gavish. 231-239 [doi]
• Activity analysis based on low sample rate smart metersFeng Chen, Jing Dai, Bingsheng Wang, Sambit Sahu, Milind R. Naphade, Chang-Tien Lu. 240-248 [doi]
• Estimating the number of users behind ip addresses for combating abusive trafficAhmed Metwally, Matt Paduano. 249-257 [doi]
• Data-driven multi-touch attribution modelsXuhui Shao, Lexin Li. 258-264 [doi]
• Bid landscape forecasting in online ad exchange marketplaceYing Cui, Ruofei Zhang, Wei Li, Jianchang Mao. 265-273 [doi]
• Detecting adversarial advertisements in the wildD. Sculley, Matthew Eric Otey, Michael Pohl, Bridget Spitznagel, John Hainsworth, Yunkai Zhou. 274-282 [doi]
• Applying data mining techniques to address disaster information management challenges on mobile devicesLi Zheng, Chao Shen, Liang Tang, Tao Li, Steven Luis, Shu-Ching Chen. 283-291 [doi]
• Enhancing investment decisions in P2P lending: an investor composition perspectiveChunyu Luo, Hui Xiong, Wenjun Zhou, Yanhong Guo, Guishi Deng. 292-300 [doi]
• From market baskets to mole rats: using data mining techniques to analyze RFID data describing laboratory animal behaviorDaniel P. McCloskey, Michael E. Kress, Susan P. Imberman, Igor Kushnir, Susan Briffa-Mirabella. 301-306 [doi]
• A pattern discovery approach to retail fraud detectionPrasad Gabbur, Sharath Pankanti, Quanfu Fan, Hoang Trinh. 307-315 [doi]
• Driving with knowledge from the physical worldJing Yuan, Yu Zheng, Xing Xie, Guangzhong Sun. 316-324 [doi]
• Interactive learning for efficiently detecting errors in insurance claimsRayid Ghani, Mohit Kumar. 325-333 [doi]
• NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduceAmol Ghoting, Prabhanjan Kambadur, Edwin P. D. Pednault, Ramakrishnan Kannan. 334-342 [doi]
• Classification of proxy labeled examples for marketing segment generationDean Cerrato, Rosie Jones, Avinash Gupta. 343-350 [doi]
• Ameliorating buyer s remorseRakesh Agrawal, Samuel Ieong, Raja Velu. 351-359 [doi]
• Experiences with mining temporal event sequences from electronic medical records: initial successes and some challengesDebprakash Patnaik, Patrick Butler, Naren Ramakrishnan, Laxmi Parida, Benjamin J. Keller, David A. Hanauer. 360-368 [doi]
• Understanding atrophy trajectories in alzheimer s disease using association rules on MRI imagesGyörgy J. Simon, Peter W. Li, Clifford R. Jack Jr., Prashanthi Vemuri. 369-376 [doi]
• A case study in a recommender system based on purchase dataBruno Pradel, Savaneary Sean, Julien Delporte, Sébastien Guérif, Céline Rouveirol, Nicolas Usunier, Françoise Fogelman-Soulié, Frédéric Dufau-Joël. 377-385 [doi]
• Detecting bots via incremental LS-SVM learning with dynamic feature adaptationFeilong Chen, Supranamaya Ranjan, Pang-Ning Tan. 386-394 [doi]
• Toward personalized care management of patients at risk: the diabetes case studyHani Neuvirth, Michal Ozery-Flato, Jianying Hu, Jonathan Laserson, Martin S. Kohn, Shahram Ebadollahi, Michal Rosen-Zvi. 395-403 [doi]
• Matching unstructured product offers to structured product specificationsAnitha Kannan, Inmar E. Givoni, Rakesh Agrawal, Ariel Fuxman. 404-412 [doi]
• Predictive client-side profiles for personalized advertisingMikhail Bilenko, Matthew Richardson. 413-421 [doi]
• Smoothing techniques for adaptive online language models: topic tracking in tweet streamsJimmy Lin, Rion Snow, William Morgan. 422-429 [doi]
• Democrats, republicans and starbucks afficionados: user classification in twitterMarco Pennacchiotti, Ana-Maria Popescu. 430-438 [doi]
• Beyond keyword search: discovering relevant scientific literatureKhalid El-Arini, Carlos Guestrin. 439-447 [doi]
• Collaborative topic modeling for recommending scientific articlesChong Wang, David M. Blei. 448-456 [doi]
• Partially labeled topic models for interpretable text miningDaniel Ramage, Christopher D. Manning, Susan T. Dumais. 457-465 [doi]
• Refining causality: who copied from whom?Tristan Mark Snowsill, Nick Fyson, Tijl De Bie, Nello Cristianini. 466-474 [doi]
• Conditional topical coding: an efficient topic model conditioned on rich featuresJun Zhu, Ni Lao, Ning Chen, Eric P. Xing. 475-483 [doi]
• Tracking trends: incorporating term volume into temporal topic modelsLiangjie Hong, Dawei Yin, Jian Guo, Brian D. Davison. 484-492 [doi]
• Differentially private data release for data miningNoman Mohammed, Rui Chen, Benjamin C. M. Fung, Philip S. Yu. 493-501 [doi]
• k-NN as an implementation of situation testing for discrimination discovery and preventionBinh Luong Thanh, Salvatore Ruggieri, Franco Turini. 502-510 [doi]
• Exploiting vulnerability to secure user privacy on a social networking sitePritam Gundecha, Geoffrey Barbier, Huan Liu. 511-519 [doi]
• On the semantic annotation of places in location-based social networksMao Ye, Dong Shou, Wang-Chien Lee, Peifeng Yin, Krzysztof Janowicz. 520-528 [doi]
• Sparsification of influence networksMichael Mathioudakis, Francesco Bonchi, Carlos Castillo, Aristides Gionis, Antti Ukkonen. 529-537 [doi]
• Leveraging collaborative tagging for web item designMahashweta Das, Gautam Das, Vagelis Hristidis. 538-546 [doi]
• Stackelberg games for adversarial prediction problemsMichael Brückner, Tobias Scheffer. 547-555 [doi]
• Leakage in data mining: formulation, detection, and avoidanceShachar Kaufman, Saharon Rosset, Claudia Perlich. 556-563 [doi]
• An information theoretic framework for data miningTijl De Bie. 564-572 [doi]
• Tell me what i need to know: succinctly summarizing data with itemsetsMichael Mampaey, Nikolaj Tatti, Jilles Vreeken. 573-581 [doi]
• Direct local pattern sampling by efficient two-step random proceduresMario Boley, Claudio Lucchese, Daniel Paurat, Thomas Gärtner. 582-590 [doi]
• Mining frequent closed graphs on evolving data streamsAlbert Bifet, Geoff Holmes, Bernhard Pfahringer, Ricard Gavaldà. 591-599 [doi]
• Latent topic feedback for information retrievalDavid Andrzejewski, David Buttler. 600-608 [doi]
• Localized factor models for multi-context recommendationDeepak Agarwal, Bee-Chung Chen, Bo Long. 609-617 [doi]
• Latent aspect rating analysis without aspect keyword supervisionHongning Wang, Yue Lu, ChengXiang Zhai. 618-626 [doi]
• Density estimation treesParikshit Ram, Alexander G. Gray. 627-635 [doi]
• Unsupervised clustering of multidimensional distributions using earth mover distanceDavid Applegate, Tamraparni Dasu, Shankar Krishnan, Simon Urbanek. 636-644 [doi]
• Online heterogeneous mixture modeling with marginal and copula selectionRyohei Fujimaki, Yasuhiro Sogawa, Satoshi Morinaga. 645-653 [doi]
• Dual active feature and sample selection for graph classificationXiangnan Kong, Wei Fan, Philip S. Yu. 654-662 [doi]
• It s who you know: graph mining using recursive structural featuresKeith Henderson, Brian Gallagher, Lei Li, Leman Akoglu, Tina Eliassi-Rad, Hanghang Tong, Christos Faloutsos. 663-671 [doi]
• Triangle listing in massive networks and its applicationsShumo Chu, James Cheng. 672-680 [doi]
• Fast clustering using MapReduceAlina Ene, Sungjin Im, Benjamin Moseley. 681-689 [doi]
• Clustering very large multi-dimensional datasets with MapReduceRobson Leonardo Ferreira Cordeiro, Caetano Traina Jr., Agma Juci Machado Traina, Julio López, U. Kang, Christos Faloutsos. 690-698 [doi]
• Selective block minimization for faster convergence of limited memory large-scale linear modelsKai-Wei Chang, Dan Roth. 699-707 [doi]
• Bounded coordinate-descent for biological sequence classification in high dimensional predictor spaceGeorgiana Ifrim, Carsten Wiuf. 708-716 [doi]
• Multi-source domain adaptation and its application to early detection of fatigueRita Chattopadhyay, Jieping Ye, Sethuraman Panchanathan, Wei Fan, Ian Davidson. 717-725 [doi]
• Two-locus association mapping in subquadratic timePanagiotis Achlioptas, Bernhard Schölkopf, Karsten M. Borgwardt. 726-734 [doi]
• A taxi business intelligence systemYong Ge, Chuanren Liu, Hui Xiong, Jian Chen. 735-738 [doi]
• Apolo: interactive large graph sensemaking by combining machine learning and visualizationDuen Horng Chau, Aniket Kittur, Jason I. Hong, Christos Faloutsos. 739-742 [doi]
• Article clipper: a system for web article extractionJian Fan, Ping Luo, Suk Hwan Lim, Sam Liu, Joshi Parag, Jerry Liu. 743-746 [doi]
• Data intensive analysis on the gordon high performance data and compute systemRobert S. Sinkovits, Pietro Cicotti, Shawn Strande, Mahidhar Tatineni, Paul Rodriguez, Nicole Wolter, Natasha Balac. 747-748 [doi]
• Frontex real-time news event extraction frameworkJakub Piskorski, Martin Atkinson. 749-752 [doi]
• LikeMiner: a system for mining the power of like in social media networksXin Jin, Chi Wang, Jiebo Luo, Xiao Yu, Jiawei Han. 753-756 [doi]
• MIME: a framework for interactive visual pattern miningBart Goethals, Sandy Moens, Jilles Vreeken. 757-760 [doi]
• SIGKDD demo: sensors and software to allow computational entomology, an emerging application of data miningGustavo E. A. P. A. Batista, Eamonn J. Keogh, Agenor Mafra-Neto, Edgar Rowton. 761-764 [doi]
• Social flocks: a crowd simulation framework for social network generation, community detection, and collective behavior modelingCheng-Te Li, Shou-de Lin. 765-768 [doi]
• Topic-level social network searchJie Tang, Sen Wu, Bo Gao, Yang Wan. 769-772 [doi]
• Video analytics solution for tracking customer locations in retail shopping mallsHarikrishna G. N. Rai, Kishore Jonna, P. Radha Krishna. 773-776 [doi]
• Which half Is wasted? : controlled experiments to measure online-advertising effectivenessDavid H. Reiley. 777 [doi]
• Broad scale predictive modeling and marketing optimization in retail salesDan Steinberg, Felipe Fernandez Martinez. 780 [doi]
• Knowledge discovery and data mining in pharmaceutical cancer researchPaul A. Rejto. 781 [doi]
• Real-time risk control system for CNP (card not present)Tai Hsu. 783 [doi]
• The power of analysis and dataDavid Norton. 784 [doi]
• The practitioner's viewpoint to data mining: key lessons learned in the trenches and case studiesRichard Boire. 785 [doi]
• Thriving as a data miner in the real worldJohn F. Elder IV. 786 [doi]
• 2D-interval predictions for time seriesLuís Torgo, Orlando Ohashi. 787-794 [doi]
• A game theoretic framework for heterogenous information network clusteringFaris Alqadah, Raj Bhatnagar. 795-804 [doi]
• A GPU-tailored approach for training kernelized SVMsAndrew Cotter, Nathan Srebro, Joseph Keshet. 805-813 [doi]
• A multi-task learning formulation for predicting disease progressionJiayu Zhou, Lei Yuan, Jun Liu, Jieping Ye. 814-822 [doi]
• A simple statistical model and association rule filtering for classificationGyörgy J. Simon, Vipin Kumar, Peter W. Li. 823-831 [doi]
• A time-dependent topic model for multiple text streamsLiangjie Hong, Byron Dom, Siva Gurumurthy, Kostas Tsioutsiouliklis. 832-840 [doi]
• Active learning for node classification in assortative and disassortative networksCristopher Moore, Xiaoran Yan, Yaojia Zhu, Jean-Baptiste Rouquier, Terran Lane. 841-849 [doi]
• Active learning using on-line algorithmsChris Mesterharm, Michael J. Pazzani. 850-858 [doi]
• Algorithms for speeding up distance-based outlier detectionKanishka Bhaduri, Bryan L. Matthews, Chris Giannella. 859-867 [doi]
• An effective evaluation measure for clustering on evolving data streamsHardy Kremer, Philipp Kranen, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer. 868-876 [doi]
• An iterated graph laplacian approach for ranking on manifoldsXueyuan Zhou, Mikhail Belkin, Nathan Srebro. 877-885 [doi]
• Anomaly localization for network data streams with graph joint sparse PCARuoyi Jiang, Hongliang Fei, Jun Huan. 886-894 [doi]
• Approximate kernel k-means: solution to large scale kernel clusteringRadha Chitta, Rong Jin, Timothy C. Havens, Anil K. Jain. 895-903 [doi]
• Ask me better questions: active learning queries based on rule inductionParisa Rashidi, Diane J. Cook. 904-912 [doi]
• Automatically tagging email by leveraging other users foldersYehuda Koren, Edo Liberty, Yoelle Maarek, Roman Sandler. 913-921 [doi]
• Axiomatic ranking of network role similarityRuoming Jin, Victor E. Lee, Hui Hong. 922-930 [doi]
• Brain effective connectivity modeling for alzheimer s disease by sparse gaussian bayesian networkShuai Huang, Jing Li, Jieping Ye, Adam Fleisher, Kewei Chen, Teresa Wu, Eric Reiman. 931-939 [doi]
• Classification of functional magnetic resonance imaging data using informative pattern featuresFrancisco Pereira, Matthew Botvinick. 940-946 [doi]
• Clustering with relative constraintsEric Yi Liu, Zhaojun Zhang, Wei Wang. 947-955 [doi]
• Common component analysis for multiple covariance matricesHuahua Wang, Arindam Banerjee, Daniel Boley. 956-964 [doi]
• Compression of weighted graphsHannu Toivonen, Fang Zhou, Aleksi Hartikainen, Atte Hinkka. 965-973 [doi]
• Content-driven trust propagation frameworkV. G. Vinod Vydiswaran, ChengXiang Zhai, Dan Roth. 974-982 [doi]
• Cost-aware travel tour recommendationYong Ge, Qi Liu, Hui Xiong, Alexander Tuzhilin, Jian Chen. 983-991 [doi]
• Discovering highly reliable subgraphs in uncertain graphsRuoming Jin, Lin Liu, Charu C. Aggarwal. 992-1000 [doi]
• Discovering shakers from evolving entities via cascading graph inferenceXiaoxiao Shi, Wei Fan, Jianping Zhang, Philip S. Yu. 1001-1009 [doi]
• Discovering spatio-temporal causal interactions in traffic data streamsWei Liu, Yu Zheng, Sanjay Chawla, Jing Yuan, Xie Xing. 1010-1018 [doi]
• Display advertising impact: search lift and social influencePanagiotis Papadimitriou 0002, Hector Garcia-Molina, Prabhakar Krishnamurthy, Randall A. Lewis, David H. Reiley. 1019-1027 [doi]
• Diversified ranking on large graphs: an optimization viewpointHanghang Tong, Jingrui He, Zhen Wen, Ravi Konuru, Ching-Yung Lin. 1028-1036 [doi]
• Entity disambiguation with hierarchical topic modelsSaurabh Kataria, Krishnan S. Kumar, Rajeev Rastogi, Prithviraj Sen, Srinivasan H. Sengamedu. 1037-1045 [doi]
• Exploiting place features in link prediction on location-based social networksSalvatore Scellato, Anastasios Noulas, Cecilia Mascolo. 1046-1054 [doi]
• Fast approximate similarity search based on degree-reduced neighborhood graphsKazuo Aoyama, Kazumi Saito, Hiroshi Sawada, Naonori Ueda. 1055-1063 [doi]
• Fast coordinate descent methods with variable selection for non-negative matrix factorizationCho-Jui Hsieh, Inderjit S. Dhillon. 1064-1072 [doi]
• Fast locality-sensitive hashingAnirban Dasgupta, Ravi Kumar, Tamás Sarlós. 1073-1081 [doi]
• Friendship and mobility: user movement in location-based social networksEunjoon Cho, Seth A. Myers, Jure Leskovec. 1082-1090 [doi]
• GBASE: a scalable and general graph management systemU. Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, Christos Faloutsos. 1091-1099 [doi]
• Human mobility, social ties, and link predictionDashun Wang, Dino Pedreschi, Chaoming Song, Fosca Giannotti, Albert-László Barabási. 1100-1108 [doi]
• I want to answer; who has a question?: Yahoo! answers recommender systemGideon Dror, Yehuda Koren, Yoelle Maarek, Idan Szpektor. 1109-1117 [doi]
• Improving predictions using aggregate informationAmit Dhurandhar. 1118-1126 [doi]
• INCONCO: interpretable clustering of numerical and categorical objectsClaudia Plant, Christian Böhm. 1127-1135 [doi]
• Incorporating SAT solvers into hierarchical clustering algorithms: an efficient and flexible approachSean Gilpin, Ian Davidson. 1136-1144 [doi]
• Latent graphical models for quantifying and predicting patent qualityYan Liu, Pei-yun Hseuh, Rick Lawrence, Steve Meliksetian, Claudia Perlich, Alejandro Veen. 1145-1153 [doi]
• Logical-shapelets: an expressive primitive for time series classificationAbdullah Mueen, Eamonn J. Keogh, Neal Young. 1154-1162 [doi]
• Meta optimization and its application to portfolio selectionPuja Das, Arindam Banerjee. 1163-1171 [doi]
• Mining closed episodes with simultaneous eventsNikolaj Tatti, Boris Cule. 1172-1180 [doi]
• Mining mobility data to minimise travellers spending on public transportNeal Lathia, Licia Capra. 1181-1189 [doi]
• Mining mobility user profiles for car poolingRoberto Trasarti, Fabio Pinelli, Mirco Nanni, Fosca Giannotti. 1190-1198 [doi]
• Mining partially annotated imagesZhongang Qi, Ming Yang, Zhongfei (Mark) Zhang, Zhengyou Zhang. 1199-1207 [doi]
• Multi-view transfer learning with a large margin approachDan Zhang, Jingrui He, Yan Liu, Luo Si, Richard D. Lawrence. 1208-1216 [doi]
• MultiRank: co-ranking for objects and relations in multi-relational dataMichaek Kwok-Po Ng, Xutao Li, Yunming Ye. 1217-1225 [doi]
• On dynamic data-driven selection of sensor streamsCharu C. Aggarwal, Yan Xie, Philip S. Yu. 1226-1234 [doi]
• On the privacy of anonymized networksPedram Pedarsani, Matthias Grossglauser. 1235-1243 [doi]
• Ontology enhancement and concept granularity learning: keeping yourself current and adaptiveShan Jiang, Lidong Bing, Bai Sun, Yan Zhang, Wai Lam. 1244-1252 [doi]
• Personal privacy vs population privacy: learning to attack anonymizationGraham Cormode. 1253-1261 [doi]
• Privacy-preserving social network publication against friendship attacksChih-Hua Tai, Philip S. Yu, De-Nian Yang, Ming-Syan Chen. 1262-1270 [doi]
• Probabilistic topic models with biased propagation on heterogeneous information networksHongbo Deng, Jiawei Han, Bo Zhao, Yintao Yu, Cindy Xide Lin. 1271-1279 [doi]
• Prominent streak discovery in sequence dataXiao Jiang, Chengkai Li, Ping Luo, Min Wang, Yong Yu. 1280-1288 [doi]
• Protecting location privacy using location semanticsByoungyoung Lee, Jinoh Oh, Hwanjo Yu, Jong Kim. 1289-1297 [doi]
• Ranking-based classification of heterogeneous information networksMing Ji, Jiawei Han, Marina Danilevsky. 1298-1306 [doi]
• Real-time bidding algorithms for performance-based display ad allocationYe Chen, Pavel Berkhin, Bo Anderson, Nikhil R. Devanur. 1307-1315 [doi]
• Revisiting sequential pattern hiding to enhance utilityAris Gkoulalas-Divanis, Grigorios Loukides. 1316-1324 [doi]
• Sampling hidden objects using nearest-neighbor oraclesNilesh N. Dalvi, Ravi Kumar, Ashwin Machanavajjhala, Vibhor Rastogi. 1325-1333 [doi]
• Scalable kNN search on vertically stored time seriesShrikant Kashyap, Panagiotis Karras. 1334-1342 [doi]
• Serendipitous learning: learning beyond the predefined label spaceDan Zhang, Yan Liu, Luo Si. 1343-1351 [doi]
• Spatially regularized logistic regression for disease mapping on large moving populationsVuk Malbasa, Slobodan Vucetic. 1352-1360 [doi]
• Temporal multi-hierarchy smoothing for estimating rates of rare eventsNagaraj Kota, Deepak Agarwal. 1361-1369 [doi]
• ThermoCast: a cyber-physical forecasting model for datacentersLei Li, Chieh-Jan Mike Liang, Jie Liu, Suman Nath, Andreas Terzis, Christos Faloutsos. 1370-1378 [doi]
• Towards bounding sequential patternsChedy Raïssi, Jian Pei. 1379-1387 [doi]
• User-click modeling for understanding and predicting search-behaviorYuchen Zhang, Weizhu Chen, Dong Wang, Qiang Yang. 1388-1396 [doi]
• User-level sentiment analysis incorporating social networksChenhao Tan, Lillian Lee, Jie Tang, Long Jiang, Ming Zhou, Ping Li. 1397-1405 [doi]
• Web information extraction using markov logic networksSandeepkumar Satpal, Sahely Bhadra, Sundararajan Sellamanickam, Rajeev Rastogi, Prithviraj Sen. 1406-1414 [doi]