Table of Contents

• Scale-out beyond map-reduceRaghu Ramakrishnan. 1 [doi]
• The online revolution: education for everyoneAndrew Y. Ng, Daphne Koller. 2 [doi]
• Optimization in learning and data analysisStephen J. Wright. 3 [doi]
• Predicting the present with search engine dataHal Varian. 4 [doi]
• One theme in all views: modeling consensus topics in multiple contextsJian Tang, Ming Zhang, Qiaozhu Mei. 5-13 [doi]
• Representing documents through their readersKhalid El-Arini, Min Xu, Emily B. Fox, Carlos Guestrin. 14-22 [doi]
• Text-based measures of document diversityKevin Bache, David Newman, Padhraic Smyth. 23-31 [doi]
• Diversity maximization under matroid constraintsZeinab Abbassi, Vahab S. Mirrokni, Mayur Thakur. 32-40 [doi]
• Connecting users across social media sites: a behavioral-modeling approachReza Zafarani, Huan Liu. 41-49 [doi]
• Automatic selection of social media responses to newsTadej Stajner, Bart Thomee, Ana-Maria Popescu, Marco Pennacchiotti, Alejandro Jaimes. 50-58 [doi]
• Estimating sharer reputation via social data calibrationJaewon Yang, Bee-Chung Chen, Deepak Agarwal. 59-67 [doi]
• Linking named entities in Tweets with knowledge base via user interest modelingWei Shen, Jianyong Wang, Ping Luo, Min Wang. 68-76 [doi]
• TurboGraph: a fast parallel graph engine handling billion-scale graphs in a single PCWook-Shin Han, Sangyeon Lee, Kyungyeol Park, Jeong-Hoon Lee, Min-Soo Kim 0002, Jinha Kim, Hwanjo Yu. 77-85 [doi]
• Beyond myopic inference in big data pipelinesKarthik Raman, Adith Swaminathan, Johannes Gehrke, Thorsten Joachims. 86-94 [doi]
• Big data analytics with small footprint: squaring the cloudJohn Canny, Huasha Zhao. 95-103 [doi]
• Denser than the densest subgraph: extracting optimal quasi-cliques with quality guaranteesCharalampos E. Tsourakakis, Francesco Bonchi, Aristides Gionis, Francesco Gullo, Maria A. Tsiarli. 104-112 [doi]
• Guided learning for role discovery (GLRD): framework, algorithms, and applicationsSean Gilpin, Tina Eliassi-Rad, Ian N. Davidson. 113-121 [doi]
• Redundancy-aware maximal cliquesJia Wang, James Cheng, Ada Wai-Chee Fu. 122-130 [doi]
• Selective sampling on graphs for classificationQuanquan Gu, Charu C. Aggarwal, Jialu Liu, Jiawei Han. 131-139 [doi]
• Density-based logistic regressionWenlin Chen, Yixin Chen, Yi Mao, Baolong Guo. 140-148 [doi]
• MI2LS: multi-instance learning from multiple informationsourcesDan Zhang, Jingrui He, Richard D. Lawrence. 149-157 [doi]
• Querying discriminative and representative samples for batch mode active learningZheng Wang, Jieping Ye. 158-166 [doi]
• tight: a new support vector method for optimizing partial AUC based on a tight convex upper boundHarikrishna Narasimhan, Shivani Agarwal. 167-175 [doi]
• Succinct interval-splitting tree for scalable similarity search of compound-protein pairs with property constraintsYasuo Tabei, Akihiro Kishimoto, Masaaki Kotera, Yoshihiro Yamanishi. 176-184 [doi]
• Multi-source learning with block-wise missing data for Alzheimer's disease predictionShuo Xiang, Lei Yuan, Wei Fan, Yalin Wang, Paul M. Thompson, Jieping Ye. 185-193 [doi]
• Network discovery via constrained tensor analysis of fMRI dataIan N. Davidson, Sean Gilpin, Owen T. Carmichael, Peter B. Walker. 194-202 [doi]
• Learning to question: leveraging user preferences for shopping adviceMahashweta Das, Gianmarco De Francisci Morales, Aristides Gionis, Ingmar Weber. 203-211 [doi]
• Active learning and search on low-rank matricesDougal J. Sutherland, Barnabás Póczos, Jeff G. Schneider. 212-220 [doi]
• LCARS: a location-content-aware recommender systemHongzhi Yin, Yizhou Sun, Bin Cui, Zhiting Hu, Ling Chen. 221-229 [doi]
• Comparing apples to oranges: a scalable solution with heterogeneous hashingMingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu, Shiqiang Yang. 230-238 [doi]
• Fast and scalable polynomial kernels via explicit feature mapsNinh Pham, Rasmus Pagh. 239-247 [doi]
• Indexed block coordinate descent for large-scale linear classification with limited memoryIan En-Hsu Yen, Chun-Fu Chang, Ting-Wei Lin, Shan-Wei Lin, Shou-de Lin. 248-256 [doi]
• Recursive regularization for large-scale classification with hierarchical and graphical dependenciesSiddharth Gopal, Yiming Yang. 257-265 [doi]
• Discovering latent influence in online social activities via shared cascade poisson processesTomoharu Iwata, Amar Shah, Zoubin Ghahramani. 266-274 [doi]
• STRIP: stream learning of influence probabilitiesKonstantin Kutzkov, Albert Bifet, Francesco Bonchi, Aristides Gionis. 275-283 [doi]
• Fast structure learning in generalized stochastic processes with latent factorsMohammad Taha Bahadori, Yan Liu, Eric P. Xing. 284-292 [doi]
• Robust sparse estimation of multiresponse regression and inverse covariance matrix via the L2 distanceAurelie C. Lozano, Huijing Jiang, Xinwei Deng. 293-301 [doi]
• Exact sparse recovery with L0 projectionsPing Li 0001, Cun-Hui Zhang. 302-310 [doi]
• Robust principal component analysis via capped normsQian Sun, Shuo Xiang, Jieping Ye. 311-319 [doi]
• Flexible and robust co-regularized multi-domain graph clusteringWei Cheng, Xiang Zhang, Zhishan Guo, Yubao Wu, Patrick F. Sullivan, Wei Wang. 320-328 [doi]
• Graph cluster randomization: network exposure to multiple universesJohan Ugander, Brian Karrer, Lars Backstrom, Jon M. Kleinberg. 329-337 [doi]
• Social influence based clustering of heterogeneous information networksYang Zhou, Ling Liu. 338-346 [doi]
• Confluence: conformity influence in large social networksJie Tang, Sen Wu, Jimeng Sun. 347-355 [doi]
• The role of information diffusion in the evolution of social networksLilian Weng, Jacob Ratkiewicz, Nicola Perra, Bruno Gonçalves, Carlos Castillo, Francesco Bonchi, Rossano Schifanella, Filippo Menczer, Alessandro Flammini. 356-364 [doi]
• Extracting social events for learning better information diffusion modelsShuyang Lin, Fengjiao Wang, Qingbo Hu, Philip S. Yu. 365-373 [doi]
• Model selection in markovian processesAssaf Hallak, Dotan Di Castro, Shie Mannor. 374-382 [doi]
• DTW-D: time series semi-supervised learning from a single exampleYanping Chen, Bing Hu 0001, Eamonn J. Keogh, Gustavo E. A. P. A. Batista. 383-391 [doi]
• Model-based kernel for efficient time series analysisHuanhuan Chen, Fengzhen Tang, Peter Tino, Xin Yao. 392-400 [doi]
• Information cascade at group scaleMilad Eftekhar, Yashar Ganjali, Nick Koudas. 401-409 [doi]
• Mining lines in the sand: on trajectory discovery from untrustworthy data in cyber-physical systemLu-An Tang, Xiao Yu, Quanquan Gu, Jiawei Han, Alice Leung, Thomas F. La Porta. 410-418 [doi]
• A general bootstrap performance diagnosticAriel Kleiner, Ameet Talwalkar, Sameer Agarwal, Ion Stoica, Michael I. Jordan. 419-427 [doi]
• Subsampling for efficient and effective unsupervised outlier detection ensemblesArthur Zimek, Matthew Gaudet, Ricardo J. G. B. Campello, Jörg Sander. 428-436 [doi]
• A phrase mining framework for recursive construction of a topical hierarchyChi Wang, Marina Danilevsky, Nihit Desai, Yinan Zhang, Phuong Nguyen, Thrivikrama Taula, Jiawei Han. 437-445 [doi]
• Stochastic collapsed variational Bayesian inference for latent Dirichlet allocationJames R. Foulds, Levi Boyles, Christopher DuBois, Padhraic Smyth, Max Welling. 446-454 [doi]
• WiseMarket: a new paradigm for managing wisdom of online social usersCaleb Chen Cao, Yongxin Tong, Lei Chen, H. V. Jagadish. 455-463 [doi]
• Multi-label relational neighbor classification using social context featuresXi Wang, Gita Sukthankar. 464-472 [doi]
• Scalable text and link analysis with mixed-topic link modelsYaojia Zhu, Xiaoran Yan, Lise Getoor, Cristopher Moore. 473-481 [doi]
• Collaborative boosting for activity classification in microblogsYangqiu Song, Zhengdong Lu, Cane Wing-ki Leung, Qiang Yang. 482-490 [doi]
• Trace complexity of network inferenceBruno D. Abrahao, Flavio Chierichetti, Robert Kleinberg, Alessandro Panconesi. 491-499 [doi]
• Debiasing social wisdomAbhimanyu Das, Sreenivas Gollapudi, Rina Panigrahy, Mahyar Salek. 500-508 [doi]
• Mining discriminative subgraphs from global-state networksSayan Ranu, Minh Hoang, Ambuj K. Singh. 509-517 [doi]
• Approximate graph mining with label costsPranay Anchuri, Mohammed J. Zaki, Omer Barkol, Shahar Golan, Moshe Shamy. 518-526 [doi]
• Summarizing probabilistic frequent patterns: a fast approachChunyang Liu, Ling Chen, Chengqi Zhang. 527-535 [doi]
• Mining high utility episodes in complex event sequencesCheng-Wei Wu, Yu-Feng Lin, Philip S. Yu, Vincent S. Tseng. 536-544 [doi]
• Mining frequent graph patterns with differential privacyEntong Shen, Ting Yu. 545-553 [doi]
• Statistical quality estimation for general crowdsourcing tasksYukino Baba, Hisashi Kashima. 554-562 [doi]
• Psychological advertising: exploring user psychology for click prediction in sponsored searchTaifeng Wang, Jiang Bian, Shusen Liu, Yuyu Zhang, Tie-Yan Liu. 563-571 [doi]
• SIGMa: simple greedy matching for aligning large knowledge basesSimon Lacoste-Julien, Konstantina Palla, Alex Davies, Gjergji Kasneci, Thore Graepel, Zoubin Ghahramani. 572-580 [doi]
• Simple and deterministic matrix sketchingEdo Liberty. 581-588 [doi]
• A space efficient streaming algorithm for triangle counting using the birthday paradoxMadhav Jha, C. Seshadhri, Ali Pinar. 589-597 [doi]
• Who, where, when and what: discover spatio-temporal topics for twitter usersQuan Yuan, Gao Cong, Zongyang Ma, Aixin Sun, Nadia Magnenat-Thalmann. 605-613 [doi]
• Multi-label classification by mining label and instance correlations from heterogeneous information networksXiangnan Kong, Bokai Cao, Philip S. Yu. 614-622 [doi]
• Accurate intelligible models with pairwise interactionsYin Lou, Rich Caruana, Johannes Gehrke, Giles Hooker. 623-631 [doi]
• Spotting opinion spammers using behavioral footprintsArjun Mukherjee, Abhinav Kumar, Bing Liu, Junhui Wang, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh. 632-640 [doi]
• An efficient ADMM algorithm for multidimensional anisotropic total variation regularization problemsSen Yang, Jie Wang, Wei Fan, Xiatian Zhang, Peter Wonka, Jieping Ye. 641-649 [doi]
• Speeding up large-scale learning with a social priorDeepayan Chakrabarti, Ralf Herbrich. 650-658 [doi]
• FISM: factored item similarity models for top-N recommender systemsSantosh Kabbur, Xia Ning, George Karypis. 659-667 [doi]
• Nonparametric hierarchal bayesian modeling in non-contractual heterogeneous survival dataShouichi Nagano, Yusuke Ichikawa, Noriko Takaya, Tadasu Uchiyama, Makoto Abe. 668-676 [doi]
• Cross-task crowdsourcingKaixiang Mo, ErHeng Zhong, Qiang Yang. 677-685 [doi]
• Evaluating the crowd with confidenceManas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran. 686-694 [doi]
• Inferring social roles and statuses in social networksYuchen Zhao, Guan Wang, Philip S. Yu, Shaobo Liu, Simon Zhang. 695-703 [doi]
• Adaptive collective routing using gaussian process dynamic congestion modelsSiyuan Liu, Yisong Yue, Ramayya Krishnan. 704-712 [doi]
• Maximizing acceptance probability for active friending in online social networksDe-Nian Yang, Hui-Ju Hung, Wang-Chien Lee, Wei Chen. 713-721 [doi]
• Mining evolutionary multi-branch trees from text streamsXiting Wang, Shixia Liu, Yangqiu Song, Baining Guo. 722-730 [doi]
• Active search on graphsXuezhi Wang, Roman Garnett, Jeff Schneider. 731-738 [doi]
• Fast rank-2 nonnegative matrix factorization for hierarchical document clusteringDa Kuang, Haesun Park. 739-747 [doi]
• A "semi-lazy" approach to probabilistic path predictionJingbo Zhou, Anthony K. H. Tung, Wei Wu, Wee Siong Ng. 748-756 [doi]
• Optimizing parallel belief propagation in junction treesusing regressionLu Zheng, Ole J. Mengshoel. 757-765 [doi]
• Multi-source deep learning for information trustworthiness estimationLiang Ge, Jing Gao, Xiaoyi Li, Aidong Zhang. 766-774 [doi]
• Unsupervised link prediction using aggregative statistics on heterogeneous social networksTsung-Ting Kuo, Rui Yan, Yu-Yang Huang, Perng-Hwa Kung, Shou-de Lin. 775-783 [doi]
• Link prediction with social vector clocksConrad Lee, Bobo Nick, Ulrik Brandes, Pádraig Cunningham. 784-792 [doi]
• Geo-spotting: mining online location-based services for optimal retail store placementDmytro Karamshuk, Anastasios Noulas, Salvatore Scellato, Vincenzo Nicosia, Cecilia Mascolo. 793-801 [doi]
• Location-aware publish/subscribeGuoliang Li, Yang Wang, Ting Wang, Jianhua Feng. 802-810 [doi]
• Quadratic optimization to identify highly heritable quantitative traits from complex phenotypic featuresJiangwen Sun, Jinbo Bi, Henry R. Kranzler. 811-819 [doi]
• Repetition-aware content placement in navigational networksDóra Erdös, Vatche Ishakian, Azer Bestavros, Evimaria Terzi. 820-828 [doi]
• Scalable all-pairs similarity search in metric spacesYe Wang, Ahmed Metwally, Srinivasan Parthasarathy. 829-837 [doi]
• Massively parallel expectation maximization using graphics processing unitsMuzaffer Can Altinigneli, Claudia Plant, Christian Böhm. 838-846 [doi]
• Auto-WEKA: combined selection and hyperparameter optimization of classification algorithmsChris Thornton, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown. 847-855 [doi]
• Direct optimization of ranking measures for learning to rank modelsMing Tan, Tian Xia, Lily Guo, Shaojun Wang. 856-864 [doi]
• Multi-space probabilistic sequence modelingShuo Chen, Jiexun Xu, Thorsten Joachims. 865-873 [doi]
• Towards never-ending learning from time series streamsYuan-Hao, Yanping Chen, Jesin Zakaria, Bing Hu 0001, Thanawin Rakthanmanon, Eamonn J. Keogh. 874-882 [doi]
• Constrained stochastic gradient descent for large-scale least squares problemYang Mu, Wei Ding 0003, Tianyi Zhou, Dacheng Tao. 883-891 [doi]
• Making recommendations from multiple domainsWei Chen, Wynne Hsu, Mong-Li Lee. 892-900 [doi]
• Cascading outbreak prediction in networks: a data-driven approachPeng Cui, Shifei Jin, Linyun Yu, Fei Wang, Wenwu Zhu, Shiqiang Yang. 901-909 [doi]
• Combining latent factor model with location features for event-based group recommendationWei Zhang, Jianyong Wang, Wei Feng. 910-918 [doi]
• Cost-sensitive online active learning with application to malicious URL detectionPeilin Zhao, Steven C. H. Hoi. 919-927 [doi]
• The bang for the buck: fair competitive viral marketing from the host perspectiveWei Lu, Francesco Bonchi, Amit Goyal 0002, Laks V. S. Lakshmanan. 928-936 [doi]
• Modeling the dynamics of composite social networksErHeng Zhong, Wei Fan, Yin Zhu, Qiang Yang. 937-945 [doi]
• A time-dependent enhanced support vector machine for time series regressionGoce Ristanoski, Wei Liu, James Bailey. 946-954 [doi]
• A new collaborative filtering approach for increasing the aggregate diversity of recommender systemsKatja Niemann, Martin Wolpers. 955-963 [doi]
• Scalable inference in max-margin topic modelsJun Zhu, Xun Zheng, Li Zhou, Bo Zhang. 964-972 [doi]
• A data-driven method for in-game decision making in MLB: when to pull a starting pitcherGartheeban Ganeshapillai, John V. Guttag. 973-979 [doi]
• Exploiting user clicks for automatic seed set generation for entity matchingXiao Bai, Flavio Paiva Junqueira, Srinivasan H. Sengamedu. 980-988 [doi]
• Silence is also evidence: interpreting dwell time for recommendation from psychological perspectivePeifeng Yin, Ping Luo, Wang-Chien Lee, Min Wang. 989-997 [doi]
• Efficient single-source shortest path and distance queries on large graphsAndy Diwen Zhu, Xiaokui Xiao, Sibo Wang, Wenqing Lin. 998-1006 [doi]
• On community detection in real-world networks and the importance of degree assortativityMarek Ciglan, Michal Laclavik, Kjetil Nørvåg. 1007-1015 [doi]
• Trial and error in influential social networksXiaohui Bei, Ning Chen, Liyu Dou, Xiangru Huang, Ruixin Qiang. 1016-1024 [doi]
• Collaborative matrix factorization with multiple similarities for predicting drug-target interactionsXiaodong Zheng, Hao Ding, Hiroshi Mamitsuka, Shanfeng Zhu. 1025-1033 [doi]
• FeaFiner: biomarker identification from medical data through feature generalization and selectionJiayu Zhou, Zhaosong Lu, Jimeng Sun, Lei Yuan, Fei Wang, Jieping Ye. 1034-1042 [doi]
• Learning geographical preferences for point-of-interest recommendationBin Liu, Yanjie Fu, Zijun Yao, Hui Xiong. 1043-1051 [doi]
• Learning mixed kronecker product graph models with simulated method of momentsSebastián Moreno, Jennifer Neville, Sergey Kirshner. 1052-1060 [doi]
• Measuring spontaneous devaluations in user preferencesKomal Kapoor, Nisheeth Srivastava, Jaideep Srivastava, Paul R. Schrater. 1061-1069 [doi]
• Mining evidences for named entity disambiguationYang Li, Chi Wang, Fangqiu Han, Jiawei Han, Dan Roth, Xifeng Yan. 1070-1078 [doi]
• Privacy-preserving data exploration in genome-wide association studiesAaron Johnson, Vitaly Shmatikov. 1079-1087 [doi]
• Synthetic review spamming and defenseHuan Sun, Alex Morales, Xifeng Yan. 1088-1096 [doi]
• Information cartography: creating zoomable, large-scale maps of informationDafna Shahaf, Jaewon Yang, Caroline Suen, Jeff Jacobs, Heidi Wang, Jure Leskovec. 1097-1105 [doi]
• Restreaming graph partitioning: simple versatile algorithms for advanced balancingJoel Nishimura, Johan Ugander. 1106-1114 [doi]
• Understanding evolution of research themes: a probabilistic generative model for citationsXiaolong Wang, ChengXiang Zhai, Dan Roth. 1115-1123 [doi]
• On the equivalent of low-rank linear regressions and linear discriminant analysis based regressionsXiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang. 1124-1132 [doi]
• To buy or not to buy: that is the questionOren Etzioni. 1133 [doi]
• Mining the digital universe of data to develop personalized cancer therapiesEric E. Schadt. 1134 [doi]
• The business impact of deep learningJeremy Howard. 1135 [doi]
• Adaptive adversaries: building systems to fight fraud and cyber intrudersAri Gesher. 1136 [doi]
• Targeting and influencing at scale: from presidential elections to social goodRayid Ghani. 1137 [doi]
• Hadoop: a view from the trenchesMilind Bhandarkar. 1138 [doi]
• Cyber security: how visual analytics unlock insightRaffael Marty. 1139 [doi]
• Using "big data" to solve "small data" problemsChris Neumann. 1140 [doi]
• Financing lead triggers: empowering sales reps through knowledge discovery and fusionKareem S. Aggour, Bethany Hoogs. 1141-1149 [doi]
• Query clustering based on bid landscape for sponsored search auction optimizationYe Chen, Weiguo Liu, Jeonghee Yi, Anton Schwaighofer, Tak W. Yan. 1150-1158 [doi]
• Analysis of advanced meter infrastructure data of water consumption in apartment buildingsEinat Kermany, Hanna Mazzawi, Dorit Baras, Yehuda Naveh, Hagai Michaelis. 1159-1167 [doi]
• Online controlled experiments at large scaleRon Kohavi, Alex Deng, Brian Frasca, Toby Walker, Ya Xu, Nils Pohlmann. 1168-1176 [doi]
• iHR: an online recruiting system for Xiamen Talent Service CenterWenxing Hong, Lei Li, Tao Li, Wenfu Pan. 1177-1185 [doi]
• Dynamic memory allocation policies for postings in real-time Twitter searchNima Asadi, Jimmy Lin, Michael Busch. 1186-1194 [doi]
• A unified search federation system based on online user feedbackLuo Jie, Sudarshan Lamkhede, Rochit Sapra, Evans Hsu, Helen Song, Yi Chang. 1195-1203 [doi]
• Amplifying the voice of youth in Africa via text analyticsPrem Melville, Vijil Chenthamarakshan, Richard D. Lawrence, James Powell, Moses Mugisha, Sharad Sapra, Rajesh Anandan, Solomon Assefa. 1204-1212 [doi]
• Scalable supervised dimensionality reduction using clusteringTroy Raeder, Claudia Perlich, Brian Dalessandro, Ori Stitelman, Foster J. Provost. 1213-1221 [doi]
• Ad click prediction: a view from the trenchesH. Brendan McMahan, Gary Holt, David Sculley, Michael Young, Dietmar Ebner, Julian Grady, Lan Nie, Todd Phillips, Eugene Davydov, Daniel Golovin, Sharat Chikkerur, Dan Liu, Martin Wattenberg, Arnar Mar Hrafnkelsson, Tom Boulos, Jeremy Kubica. 1222-1230 [doi]
• Modeling and probabilistic reasoning of population evacuation during large-scale disasterXuan Song, Quanshi Zhang, Yoshihide Sekimoto, Teerayut Horanont, Satoshi Ueyama, Ryosuke Shibasaki. 1231-1239 [doi]
• Using co-visitation networks for detecting large scale online display advertising exchange fraudOri Stitelman, Claudia Perlich, Brian Dalessandro, Rod Hook, Troy Raeder, Foster J. Provost. 1240-1248 [doi]
• An integrated framework for optimizing automatic monitoring systems in large IT infrastructuresLiang Tang, Tao Li, Larisa Shwartz, Florian Pinel, Genady Grabarnik. 1249-1257 [doi]
• Improving quality control by early prediction of manufacturing outcomesSholom M. Weiss, Amit Dhurandhar, Robert J. Baseman. 1258-1266 [doi]
• A data mining driven risk profiling method for road asset managementDaniel Emerson, Justin Weligamage, Richi Nayak. 1267-1275 [doi]
• Why people hate your app: making sense of user feedback in a mobile app storeBin Fu, Jialiu Lin, Lei Li, Christos Faloutsos, Jason I. Hong, Norman M. Sadeh. 1276-1284 [doi]
• Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identificationDawei Wang, Wei Ding, Kui Yu, Xindong Wu, Ping Chen, David L. Small, Shafiqul Islam. 1285-1293 [doi]
• Predictive model performance: offline and online evaluationsJeonghee Yi, Ye Chen, Jie Li, Swaraj Sett, Tak W. Yan. 1294-1302 [doi]
• Uncertainty in online experiments with dependent data: an evaluation of bootstrap methodsEytan Bakshy, Dean Eckles. 1303-1311 [doi]
• Knowledge discovery from massive healthcare claims dataVarun Chandola, Sreenivas R. Sukumar, Jack C. Schryver. 1312-1320 [doi]
• Palette power: enabling visual search through colorsAnurag Bhardwaj, Atish Das Sarma, Wei Di, Raffay Hamid, Robinson Piramuthu, Neel Sundaresan. 1321-1329 [doi]
• Heat pump detection from coarse grained smart meter data with positive and unlabeled learningHongliang Fei, Younghun Kim, Sambit Sahu, Milind R. Naphade, Sanjay K. Mamidipalli, John Hutchinson. 1330-1338 [doi]
• Empirical bayes model to combine signals of adverse drug reactionsRave Harpaz, William DuMouchel, Paea LePendu, Nigam H. Shah. 1339-1347 [doi]
• Efficiently rewriting large multimedia application execution traces with few event sequencesChristiane Kamdem Kengne, Leon Constantin Fopa, Alexandre Termier, Noha Ibrahim, Marie-Christine Rousset, Takashi Washio, Miguel Santana. 1348-1356 [doi]
• Discriminant malware distance learning on structural information for automated malware classificationDeguang Kong, Guanhua Yan. 1357-1365 [doi]
• Assessing team strategy using spatiotemporal dataPatrick Lucey, Dean Oliver, Peter Carr, Joe Roth, Iain Matthews. 1366-1374 [doi]
• Exploratory analysis of highly heterogeneous document collectionsArun S. Maiya, John P. Thompson, Francisco Loaiza-Lemos, Robert M. Rolfe. 1375-1383 [doi]
• Experience from hosting a corporate prediction market: benefits beyond the forecastsThomas A. Montgomery, Paul M. Stieg, Michael J. Cavaretta, Paul E. Moraal. 1384-1392 [doi]
• Detecting insider threats in a real corporate database of computer usage activityTed E. Senator, Henry G. Goldberg, Alex Memory, William T. Young, Brad Rees, Robert Pierce, Daniel Huang, Matthew Reardon, David A. Bader, Edmond Chow, Irfan A. Essa, Joshua Jones, Vinay Bettadapura, Duen Horng Chau, Oded Green, Oguz Kaya, Anita Zakrzewska, Erica Briscoe, Rudolph L. Mappus IV, Robert McColl, Lora Weiss, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong, Shubhomoy Das, Andrew Emmott, Jed Irvine, Jay Yoon Lee, Danai Koutra, Christos Faloutsos, Daniel D. Corkill, Lisa Friedland, Amanda Gentzel, David Jensen. 1393-1401 [doi]
• Mining for geographically disperse communities in social networks by leveraging distance modularityPaulo Shakarian, Patrick Roos, Devon Callahan, Cory Kirk. 1402-1409 [doi]
• An integrated framework for suicide risk predictionTruyen Tran, Dinh Q. Phung, Wei Luo, Richard Harvey, Michael Berk, Svetha Venkatesh. 1410-1418 [doi]
• Gaussian multiple instance learning approach for mapping the slums of the world using very high resolution imageryRanga Raju Vatsavai. 1419-1426 [doi]
• A privacy preserving framework for managing vehicle data in road pricing systemsHuayu Wu, Wee Siong Ng, Kian-Lee Tan, Wei Wu, Shili Xiang, Mingqiang Xue. 1427-1435 [doi]
• U-Air: when urban air quality inference meets big dataYu Zheng, Furui Liu, Hsun-Ping Hsieh. 1436-1444 [doi]
• Panel: a data scientist's guide to making money from start-upsFoster J. Provost, Geoffrey I. Webb. 1445 [doi]
• LAICOS: an open source platform for personalized social web searchMohamed Reda Bouadjenek, Hakim Hacid, Mokrane Bouzeghoub. 1446-1449 [doi]
• JobMiner: a real-time system for mining job-related patterns from social mediaYu Cheng, Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary, Songtao Guo. 1450-1453 [doi]
• Inferring distant-time location in low-sampling-rate trajectoriesMeng-Fen Chiang, Yung-Hsiang Lin, Wen-Chih Peng, Philip S. Yu. 1454-1457 [doi]
• AMETHYST: a system for mining and exploring topical hierarchies of heterogeneous dataMarina Danilevsky, Chi Wang, Fangbo Tao, Son Nguyen, Gong Chen, Nihit Desai, Lidan Wang, Jiawei Han. 1458-1461 [doi]
• A tool for collecting provenance data in social mediaPritam Gundecha, Suhas Ranganath, Zhuo Feng, Huan Liu. 1462-1465 [doi]
• STED: semi-supervised targeted-interest event detectionin in twitterTing Hua, Feng Chen, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan. 1466-1469 [doi]
• Forex-foreteller: currency trend modeling using news articlesFang Jin, Nathan Self, Parang Saraf, Patrick Butler, Wei Wang, Naren Ramakrishnan. 1470-1473 [doi]
• Real-time disease surveillance using Twitter data: demonstration on flu and cancerKathy Lee, Ankit Agrawal, Alok N. Choudhary. 1474-1477 [doi]
• KeySee: supporting keyword search on evolving events in social streamsPei Lee, Laks V. S. Lakshmanan, Evangelos E. Milios. 1478-1481 [doi]
• Understanding Twitter data with TweetXplorerFred Morstatter, Shamanth Kumar, Huan Liu, Ross Maciejewski. 1482-1485 [doi]
• An online system with end-user services: mining novelty concepts from tv broadcast subtitlesMika Rautiainen, Jouni Sarvanko, Arto Heikkinen, Mika Ylianttila, Vassilis Kostakos. 1486-1489 [doi]
• When TEDDY meets GrizzLY: temporal dependency discovery for triggering road deicing operationsCéline Robardet, Vasile-Marian Scuturici, Marc Plantevit, Antoine Fraboulet. 1490-1493 [doi]
• EventCube: multi-dimensional search and mining of structured and text dataFangbo Tao, Kin Hou Lei, Jiawei Han, ChengXiang Zhai, Xiao Cheng, Marina Danilevsky, Nihit Desai, Bolin Ding, Jing Ge, Heng Ji, Rucha Kanade, Anne Kao, Qi Li, Yanen Li, Cindy Xide Lin, Jialu Liu, Nikunj C. Oza, Ashok N. Srivastava, Rodney Tjoelker, Chi Wang, Duo Zhang, Bo Zhao. 1494-1497 [doi]
• SEA: a system for event analysis on chinese tweetsYaqiong Wang, Hongfu Liu, Hao Lin, Junjie Wu, Zhiang Wu, Jie Cao. 1498-1501 [doi]
• SAE: social analytic engine for large networksYang Yang, Jianfei Wang, Yutao Zhang, Wei Chen, Jing Zhang 0001, Honglei Zhuang, Zhilin Yang, Bo Ma, Zhanpeng Fang, Sen Wu, Xiaoxiao Li, Debing Liu, Jie Tang. 1502-1505 [doi]
• FIU-Miner: a fast, integrated, and user-friendly system for data mining in distributed environmentChunqiu Zeng, Yexi Jiang, Li Zheng, Jingxuan Li, Lei Li, Hongtai Li, Chao Shen, Wubai Zhou, Tao Li, Bing Duan, Ming Lei, Pengnian Wang. 1506-1509 [doi]
• LAFT-Explorer: inferring, visualizing and predicting how your social network expandsJun Zhang, Chaokun Wang, Yuanchi Ning, Yichi Liu, Jianmin Wang 0001, Philip S. Yu. 1510-1513 [doi]
• A transfer learning based framework of crowd-selection on twitterZhou Zhao, Da Yan, Wilfred Ng, Shi Gao. 1514-1517 [doi]
• Risk-O-Meter: an intelligent clinical risk calculatorKiyana Zolfaghar, Jayshree Agarwal, Deepthi Sistla, Si-Chi Chin, Senjuti Basu Roy, Nele Verbiest. 1518-1521 [doi]
• Algorithmic techniques for modeling and mining large graphs (AMAzING)Alan M. Frieze, Aristides Gionis, Charalampos E. Tsourakakis. 1523 [doi]
• Mining data from mobile devices: a survey of smart sensing and analyticsSpiros Papadimitriou, Tina Eliassi-Rad. 1524 [doi]
• Big data analytics for healthcareJimeng Sun, Chandan K. Reddy. 1525 [doi]
• Entity resolution for big dataLise Getoor, Ashwin Machanavajjhala. 1527 [doi]
• Network samplingLise Getoor, Ashwin Machanavajjhala. 1528 [doi]
• The dataminer's guide to scalable mixed-membership and nonparametric bayesian modelsAmr Ahmed, Alexander J. Smola. 1529 [doi]