Abstract is missing.
- The battle for the future of data miningOren Etzioni. 1 [doi]
- Data, predictions, and decisions in support of people and societyEric Horvitz. 2 [doi]
- A data driven approach to diagnosing and treating diseaseEric E. Schadt. 3 [doi]
- Bugbears or legitimate threats?: (social) scientists' criticisms of machine learning?Sendhil Mullainathan. 4 [doi]
- Prediction of human emergency behavior and their mobility following large-scale disasterXuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki. 5-14 [doi]
- Inferring user demographics and social strategies in mobile social networksYuxiao Dong, Yang Yang, Jie Tang, Yang Yang, Nitesh V. Chawla. 15-24 [doi]
- Travel time estimation of a path using sparse trajectoriesYilun Wang, Yu Zheng, Yexiang Xue. 25-34 [doi]
- Modeling human location data with mixtures of kernel densitiesMoshe Lichman, Padhraic Smyth. 35-44 [doi]
- A cost-effective recommender system for taxi driversMeng Qu, Hengshu Zhu, Junming Liu, Guannan Liu, Hui Xiong. 45-54 [doi]
- LUDIA: an aggregate-constrained low-rank reconstruction algorithm to leverage publicly released health dataYubin Park, Joydeep Ghosh. 55-64 [doi]
- People on drugs: credibility of user statements in health communitiesSubhabrata Mukherjee, Gerhard Weikum, Cristian Danescu-Niculescu-Mizil. 65-74 [doi]
- Unfolding physiological state: mortality modelling in intensive care unitsMarzyeh Ghassemi, Tristan Naumann, Finale Doshi-Velez, Nicole Brimmer, Rohit Joshi, Anna Rumshisky, Peter Szolovits. 75-84 [doi]
- Unsupervised learning of disease progression modelsXiang Wang, David Sontag, Fei Wang. 85-94 [doi]
- Good-enough brain model: challenges, algorithms and discoveries in multi-subject experimentsEvangelos E. Papalexakis, Alona Fyshe, Nicholas D. Sidiropoulos, Partha Pratim Talukdar, Tom M. Mitchell, Christos Faloutsos. 95-104 [doi]
- FUNNEL: automatic mining of spatially coevolving epidemicsYasuko Matsubara, Yasushi Sakurai, Willem G. van Panhuis, Christos Faloutsos. 105-114 [doi]
- Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorizationJoyce C. Ho, Joydeep Ghosh, Jimeng Sun. 115-124 [doi]
- Scalable noise mining in long-term electrocardiographic time-series to predict death following heart attacksChih-Chun Chia, Zeeshan Syed. 125-134 [doi]
- From micro to macro: data driven phenotyping by densification of longitudinal electronic medical recordsJiayu Zhou, Fei Wang, Jianying Hu, Jieping Ye. 135-144 [doi]
- Clinical risk prediction with multilinear sparse logistic regressionFei Wang, Ping Zhang, Buyue Qian, Xiang Wang, Ian Davidson. 145-154 [doi]
- Dual beta process priors for latent cluster discovery in chronic obstructive pulmonary diseaseJames C. Ross, Peter J. Castaldi, Michael H. Cho, Jennifer G. Dy. 155-162 [doi]
- COM: a generative model for group recommendationQuan Yuan, Gao Cong, Chin-Yew Lin. 163-172 [doi]
- Leveraging user libraries to bootstrap collaborative filteringLaurent Charlin, Richard S. Zemel, Hugo Larochelle. 173-182 [doi]
- Topic-factorized ideal point estimation model for legislative voting networkYupeng Gu, Yizhou Sun, Ning Jiang, Bingyu Wang, Ting Chen. 183-192 [doi]
- Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS)Qiming Diao, Minghui Qiu, Chao-Yuan Wu, Alexander J. Smola, Jing Jiang, Chong Wang. 193-202 [doi]
- User effort minimization through adaptive diversificationMahbub Hasan, Abhijith Kashyap, Vagelis Hristidis, Vassilis J. Tsotras. 203-212 [doi]
- Relevant overlapping subspace clusters on categorical dataXiao He, Jing Feng, Bettina Konte, Son T. Mai, Claudia Plant. 213-222 [doi]
- Batch discovery of recurring rare classes toward identifying anomalous samplesMurat Dundar, Halid Ziya Yerebakan, Bartek Rajwa. 223-232 [doi]
- A dirichlet multinomial mixture model-based approach for short text clusteringJianhua Yin, Jianyong Wang. 233-242 [doi]
- Representative clustering of uncertain dataAndreas Züfle, Tobias Emrich, Klaus Arthur Schmid, Nikos Mamoulis, Arthur Zimek, Matthias Renz. 243-252 [doi]
- SMVC: semi-supervised multi-view clustering in subspace projectionsStephan Günnemann, Ines Färber, Matthias Rüdiger, Thomas Seidl. 253-262 [doi]
- FastXML: a fast, accurate and stable tree-classifier for extreme multi-label learningYashoteja Prabhu, Manik Varma. 263-272 [doi]
- A multi-class boosting method with direct optimizationShaodan Zhai, Tian Xia, Shaojun Wang. 273-282 [doi]
- An efficient algorithm for weak hierarchical lassoYashu Liu, Jie Wang, Jieping Ye. 283-292 [doi]
- Online multiple kernel regressionDoyen Sahoo, Steven C. H. Hoi, Bin Li. 293-302 [doi]
- Class-distribution regularized consensus maximization for alleviating overfitting in model combinationSihong Xie, Jing Gao, Wei Fan, Deepak S. Turaga, Philip S. Yu. 303-312 [doi]
- Large margin distribution machineTeng Zhang, Zhi-Hua Zhou. 313-322 [doi]
- Distance metric learning using dropout: a structured regularization approachQi Qian, Juhua Hu, Rong Jin, Jian Pei, Shenghuo Zhu. 323-332 [doi]
- Box drawings for learning with imbalanced dataSiong-Thye Goh, Cynthia Rudin. 333-342 [doi]
- Incremental and decremental training for linear classificationCheng-Hao Tsai, Chieh-Yen Lin, Chih-Jen Lin. 343-352 [doi]
- Supervised deep learning with auxiliary networksJunbo Zhang, Guangjian Tian, Yadong Mu, Wei Fan. 353-361 [doi]
- Sleep analytics and online selective anomaly detectionTahereh Babaie, Sanjay Chawla, Romesh G. Abeysuriya. 362-371 [doi]
- GLAD: group anomaly detection in social media analysisRose Yu, Xinran He, Yan Liu 0002. 372-381 [doi]
- FBLG: a simple and effective approach for temporal dependence discovery from time series dataDehua Cheng, Mohammad Taha Bahadori, Yan Liu 0002. 382-391 [doi]
- Learning time-series shapeletsJosif Grabocka, Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme. 392-401 [doi]
- Utilizing temporal patterns for estimating uncertainty in interpretable early decision makingMohamed F. Ghalwash, Vladan Radosavljevic, Zoran Obradovic. 402-411 [doi]
- Prototype-based learning on concept-drifting data streamsJunming Shao, Zahra Ahmadi, Stefan Kramer. 412-421 [doi]
- Detecting moving object outliers in massive-scale trajectory streamsYanwei Yu, Lei Cao, Elke A. Rundensteiner, Qin Wang. 422-431 [doi]
- The setwise stream classification problemCharu C. Aggarwal. 432-441 [doi]
- Streamed approximate counting of distinct elements: beating optimal batch methodsDaniel Ting. 442-451 [doi]
- Time-varying learning and content analytics via sparse factor analysisAndrew S. Lan, Christoph Studer, Richard G. Baraniuk. 452-461 [doi]
- Active-transductive learning with label-adapted kernelsDan Kushnir. 462-471 [doi]
- Active learning for sparse bayesian multilabel classificationDeepak Vasisht, Andreas C. Damianou, Manik Varma, Ashish Kapoor. 472-481 [doi]
- Large-scale adaptive semi-supervised learning via unified inductive and transductive modelDe Wang, Feiping Nie, Heng Huang. 482-491 [doi]
- Active semi-supervised learning using sampling theory for graph signalsAkshay Gadde, Aamir Anis, Antonio Ortega. 492-501 [doi]
- Active collaborative permutation learningJialei Wang, Nathan Srebro, James Evans. 502-511 [doi]
- Effective global approaches for mutual information based feature selectionXuan Vinh Nguyen, Jeffrey Chan, Simone Romano, James Bailey. 512-521 [doi]
- Gradient boosted feature selectionZhixiang Eddie Xu, Gao Huang, Kilian Q. Weinberger, Alice X. Zheng. 522-531 [doi]
- Simultaneous feature and feature group selection through hard thresholdingShuo Xiang, Tao Yang, Jieping Ye. 532-541 [doi]
- Safe and efficient screening for sparse support vector machineZheng Zhao, Jun Liu, James Cox. 542-551 [doi]
- Factorized sparse learning models with interpretable high order feature interactionsSanjay Purushotham, Martin Renqiang Min, C. C. Jay Kuo, Rachel Ostroff. 552-561 [doi]
- Parallel gibbs sampling for hierarchical dirichlet processes via gamma processes equivalenceDehua Cheng, Yan Liu. 562-571 [doi]
- Empirical glitch explanationsTamraparni Dasu, Ji Meng Loh, Divesh Srivastava. 572-581 [doi]
- Learning with dual heterogeneity: a nonparametric bayes modelHongxia Yang, Jingrui He. 582-590 [doi]
- Online chinese restaurant processChien-Liang Liu, Tsung-Hsun Tsai, Chia-Hoang Lee. 591-600 [doi]
- Knowledge vault: a web-scale approach to probabilistic knowledge fusionXin Dong 0001, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Ni Lao, Kevin Murphy, Thomas Strohmann, Shaohua Sun, Wei Zhang. 601-610 [doi]
- Improving the modified nyström method using spectral shiftingShusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang. 611-620 [doi]
- Fast flux discriminant for large-scale sparse nonlinear classificationWenlin Chen, Yixin Chen, Kilian Q. Weinberger. 621-630 [doi]
- Scalable histograms on large probabilistic dataMingwang Tang, Feifei Li. 631-640 [doi]
- Correlation clustering in MapReduceFlavio Chierichetti, Nilesh N. Dalvi, Ravi Kumar. 641-650 [doi]
- Scaling out big data missing value imputations: pythia vs. godzillaChristos Anagnostopoulos, Peter Triantafillou. 651-660 [doi]
- Efficient mini-batch training for stochastic optimizationMu Li, Tong Zhang, Yuqiang Chen, Alexander J. Smola. 661-670 [doi]
- Streaming submodular maximization: massive data summarization on the flyAshwinkumar Badanidiyuru, Baharan Mirzasoleiman, Amin Karbasi, Andreas Krause. 671-680 [doi]
- Distance queries from sampled data: accurate and efficientEdith Cohen. 681-690 [doi]
- Improved testing of low rank matricesYi Li, Zhengyu Wang, David P. Woodruff. 691-700 [doi]
- DeepWalk: online learning of social representationsBryan Perozzi, Rami Al-Rfou', Steven Skiena. 701-710 [doi]
- Open-domain quantity queries on web tables: annotation, response, and consensus modelsSunita Sarawagi, Soumen Chakrabarti. 711-720 [doi]
- Crowdsourced time-sync video tagging using temporal and personalized topic modelingBin Wu, ErHeng Zhong, Ben Tan, Andrew Horner, Qiang Yang 0001. 721-730 [doi]
- Identifying and labeling search tasks via query-based hawkes processesLiangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha. 731-740 [doi]
- LaSEWeb: automating search strategies over semi-structured web dataOleksandr Polozov, Sumit Gulwani. 741-750 [doi]
- Personalized search result diversification via structured learningShangsong Liang, Zhaochun Ren, Maarten de Rijke. 751-760 [doi]
- Efficient multi-task feature learning with calibrationPinghua Gong, Jiayu Zhou, Wei Fan, Jieping Ye. 761-770 [doi]
- Multi-task copula by sparse graph regressionTianyi Zhou, Dacheng Tao. 771-780 [doi]
- Unifying learning to rank and domain adaptation: enabling cross-task document scoringMianwei Zhou, Kevin Chen-Chuan Chang. 781-790 [doi]
- Scalable heterogeneous translated hashingYing Wei, Yangqiu Song, Yi Zhen, Bo Liu, Qiang Yang 0001. 791-800 [doi]
- Matching users and items across domains to improve the recommendation qualityChung-Yi Li, Shou-de Lin. 801-810 [doi]
- Optimal recommendations under attraction, aversion, and social influenceWei Lu, Stratis Ioannidis, Smriti Bhagat, Laks V. S. Lakshmanan. 811-820 [doi]
- ClusCite: effective citation recommendation by information network-based clusteringXiang Ren, Jialu Liu, Xiao Yu, Urvashi Khandelwal, Quanquan Gu, Lidan Wang, Jiawei Han. 821-830 [doi]
- GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendationDefu Lian, Cong Zhao, Xing Xie, Guangzhong Sun, Enhong Chen, Yong Rui. 831-840 [doi]
- Detecting anomalies in dynamic rating data: a robust probabilistic model for rating evolutionStephan Günnemann, Nikou Günnemann, Christos Faloutsos. 841-850 [doi]
- Product selection problem: improve market share by learning consumer behaviorSilei Xu, John Chi-Shing Lui. 851-860 [doi]
- TCS: efficient topic discovery over crowd-oriented service dataYongxin Tong, Caleb Chen Cao, Lei Chen. 861-870 [doi]
- SigniTrend: scalable detection of emerging topics in textual streams by hashed significance thresholdsErich Schubert, Michael Weiler, Hans-Peter Kriegel. 871-880 [doi]
- Experiments with non-parametric topic modelsWray L. Buntine, Swapnil Mishra. 881-890 [doi]
- Reducing the sampling complexity of topic modelsAaron Q. Li, Amr Ahmed, Sujith Ravi, Alexander J. Smola. 891-900 [doi]
- Dynamics of news events and social media reactionMikalai Tsytsarau, Themis Palpanas, Malu Castellanos. 901-910 [doi]
- Differentially private network data release via structural inferenceQian Xiao, Rui Chen, Kian-Lee Tan. 911-920 [doi]
- Exponential random graph estimation under differential privacyWentian Lu, Gerome Miklau. 921-930 [doi]
- Top-k frequent itemsets via differentially private FP-treesJaewoo Lee, Christopher W. Clifton. 931-940 [doi]
- CatchSync: catching synchronized behavior in large directed graphsMeng Jiang, Peng Cui, Alex Beutel, Christos Faloutsos, Shiqiang Yang. 941-950 [doi]
- Mobile app recommendations with security and privacy awarenessHengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen. 951-960 [doi]
- Fast DTT: a near linear algorithm for decomposing a tensor into factor tensorsXiaomin Fang, Rong Pan. 967-976 [doi]
- Clustering and projected clustering with adaptive neighborsFeiping Nie, Xiaoqian Wang, Heng Huang. 977-986 [doi]
- LWI-SVD: low-rank, windowed, incremental singular value decompositions on time-evolving data setsXilun Chen, K. Selçuk Candan. 987-996 [doi]
- Provable deterministic leverage score samplingDimitris S. Papailiopoulos, Anastasios T. Kyrillidis, Christos Boutsidis. 997-1006 [doi]
- Semantic visualization for spherical representationTuan M. V. Le, Hady Wirawan Lauw. 1007-1016 [doi]
- Grouping students in educational settingsRakesh Agrawal, Behzad Golshan, Evimaria Terzi. 1017-1026 [doi]
- Inferring gas consumption and pollution emission of vehicles throughout a cityJingbo Shang, Yu Zheng, Wenzhu Tong, Eric Chang, Yong Yu. 1027-1036 [doi]
- Methods for ordinal peer gradingKarthik Raman, Thorsten Joachims. 1037-1046 [doi]
- Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clusteringYanjie Fu, Hui Xiong, Yong Ge, Zijun Yao, Yu Zheng, Zhi-Hua Zhou. 1047-1056 [doi]
- Towards scalable critical alert miningBo Zong, Yinghui Wu, Jie Song, Ambuj K. Singh, Hasan Çam, Jiawei Han, Xifeng Yan. 1057-1066 [doi]
- From labor to trader: opinion elicitation via online crowds as a marketCaleb Chen Cao, Lei Chen 0002, Hosagrahar Visvesvaraya Jagadish. 1067-1076 [doi]
- Optimal real-time bidding for display advertisingWeinan Zhang, Shuai Yuan, Jun Wang. 1077-1086 [doi]
- Quantifying herding effects in crowd wisdomTing Wang, Dashun Wang, Fei Wang. 1087-1096 [doi]
- Modeling delayed feedback in display advertisingOlivier Chapelle. 1097-1105 [doi]
- Networked bandits with disjoint linear payoffsMeng Fang, Dacheng Tao. 1106-1115 [doi]
- Mining topics in documents: standing on the shoulders of big dataZhiyuan Chen, Bing Liu 0001. 1116-1125 [doi]
- Integrating spreadsheet data via accurate and low-effort extractionZhe Chen, Michael J. Cafarella. 1126-1135 [doi]
- Sentiment expression conditioned by affective transitions and social forcesMoritz Sudhof, Andrés Goméz Emilsson, Andrew L. Maas, Christopher Potts. 1136-1145 [doi]
- Entity profiling with varying source reliabilitiesFurong Li, Mong-Li Lee, Wynne Hsu. 1146-1155 [doi]
- Open question answering over curated and extracted knowledge basesAnthony Fader, Luke Zettlemoyer, Oren Etzioni. 1156-1165 [doi]
- Non-parametric scan statistics for event detection and forecasting in heterogeneous social media graphsFeng Chen, Daniel B. Neill. 1166-1175 [doi]
- Event detection in activity networksPolina Rozenshtein, Aris Anagnostopoulos, Aristides Gionis, Nikolaj Tatti. 1176-1185 [doi]
- FEMA: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discoveryMeng Jiang, Peng Cui, Fei Wang, Xinran Xu, Wenwu Zhu, Shiqiang Yang. 1186-1195 [doi]
- Profit-maximizing cluster hiresBehzad Golshan, Theodoros Lappas, Evimaria Terzi. 1196-1205 [doi]
- On social event organizationKeqian Li, Wei Lu, Smriti Bhagat, Laks V. S. Lakshmanan, Cong Yu. 1206-1215 [doi]
- A bayesian framework for estimating properties of network diffusionsVarun R. Embar, Rama Kumar Pasumarthi, Indrajit Bhattacharya. 1216-1225 [doi]
- Scalable diffusion-aware optimization of network topologyElias Boutros Khalil, Bistra N. Dilkina, Le Song. 1226-1235 [doi]
- Probabilistic latent network visualization: inferring and embedding diffusion networksTakeshi Kurashima, Tomoharu Iwata, Noriko Takaya, Hiroshi Sawada. 1236-1245 [doi]
- MMRate: inferring multi-aspect diffusion networks with multi-pattern cascadesSenzhang Wang, Xia Hu, Philip S. Yu, Zhoujun Li. 1246-1255 [doi]
- Stability of influence maximizationXinran He, David Kempe. 1256-1265 [doi]
- Who to follow and why: link prediction with explanationsNicola Barbieri, Francesco Bonchi, Giuseppe Manco. 1266-1275 [doi]
- Activity-edge centric multi-label classification for mining heterogeneous information networksYang Zhou, Ling Liu. 1276-1285 [doi]
- Meta-path based multi-network collective link predictionJiawei Zhang, Philip S. Yu, Zhi-Hua Zhou. 1286-1295 [doi]
- Fast influence-based coarsening for large networksManish Purohit, B. Aditya Prakash, Chanhyun Kang, Yao Zhang, V. S. Subrahmanian. 1296-1305 [doi]
- Minimizing seed set selection with probabilistic coverage guarantee in a social networkPeng Zhang, Wei Chen, Xiaoming Sun, Yajun Wang, Jialin Zhang. 1306-1315 [doi]
- Core decomposition of uncertain graphsFrancesco Bonchi, Francesco Gullo, Andreas Kaltenbrunner, Yana Volkovich. 1316-1325 [doi]
- Learning multifractal structure in large networksAustin R. Benson, Carlos Riquelme, Sven Schmit. 1326-1335 [doi]
- Temporal skeletonization on sequential data: patterns, categorization, and visualizationChuanren Liu, Kai Zhang, Hui Xiong, Geoff Jiang, Qiang Yang 0001. 1336-1345 [doi]
- Focused clustering and outlier detection in large attributed graphsBryan Perozzi, Leman Akoglu, Patricia Iglesias Sanchez, Emmanuel Müller. 1346-1355 [doi]
- Inside the atoms: ranking on a network of networksJingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang. 1356-1365 [doi]
- Community membership identification from small seed setsIsabel M. Kloumann, Jon M. Kleinberg. 1366-1375 [doi]
- Community detection in graphs through correlationLian Duan, William Nick Street, Yanchi Liu, Haibing Lu. 1376-1385 [doi]
- Heat kernel based community detectionKyle Kloster, David F. Gleich. 1386-1395 [doi]
- On the permanence of vertices in network communitiesTanmoy Chakraborty 0002, Sriram Srinivasan 0001, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick. 1396-1405 [doi]
- The interplay between dynamics and networks: centrality, communities, and cheeger inequalityRumi Ghosh, Shang-Hua Teng, Kristina Lerman, Xiaoran Yan. 1406-1415 [doi]
- Almost linear-time algorithms for adaptive betweenness centrality using hypergraph sketchesYuichi Yoshida. 1416-1425 [doi]
- Efficient SimRank computation via linearizationPublication of this article pending inquiryTakanori Maehara, Mitsuru Kusumoto, Ken-ichi Kawarabayashi. 1426-1435 [doi]
- FAST-PPR: scaling personalized pagerank estimation for large graphsPeter Lofgren, Siddhartha Banerjee, Ashish Goel, Seshadhri Comandur. 1436-1445 [doi]
- Graph sample and hold: a framework for big-graph analyticsNesreen K. Ahmed, Nick G. Duffield, Jennifer Neville, Ramana Rao Kompella. 1446-1455 [doi]
- Balanced graph edge partitionFlorian Bourse, Marc Lelarge, Milan Vojnovic. 1456-1465 [doi]
- Using strong triadic closure to characterize ties in social networksStavros Sintos, Panayiotis Tsaparas. 1466-1475 [doi]
- Network structural analysis via core-tree-decomposition Publication of this article pending inquiryTakuya Akiba, Takanori Maehara, Ken-ichi Kawarabayashi. 1476-1485 [doi]
- Analyzing expert behaviors in collaborative networksHuan Sun, Mudhakar Srivatsa, Shulong Tan, Yang Li, Lance M. Kaplan, Shu Tao, Xifeng Yan. 1486-1495 [doi]
- Predicting long-term impact of CQA posts: a comprehensive viewpointYuan Yao, Hanghang Tong, Feng Xu, Jian Lu. 1496-1505 [doi]
- Who are experts specializing in landscape photography?: analyzing topic-specific authority on content sharing servicesBin Bi, Ben Kao, Chang Wan, Junghoo Cho. 1506-1515 [doi]
- Frontiers in E-commerce personalizationSri Subramaniam. 1516 [doi]
- Predictive modeling in practice: a case study from sprintTracy De Poalo, Jeremy Howard. 1517 [doi]
- Medicine in the age of electronic health recordsNigam Shah. 1518 [doi]
- Algorithms for interpretable machine learningCynthia Rudin. 1519 [doi]
- Data science through the lens of social scienceDrew Conway. 1520 [doi]
- Information environment securityRand Waltzman. 1521 [doi]
- Big data for social goodNathan Eagle. 1522 [doi]
- Bringing data science to the speakers of every languageRobert Munro. 1523 [doi]
- Guilt by association: large scale malware detection by mining file-relation graphsAcar Tamersoy, Kevin A. Roundy, Duen Horng Chau. 1524-1533 [doi]
- Mining text snippets for images on the webAnitha Kannan, Simon Baker, Krishnan Ramnath, Juliet Fiss, Dahua Lin, Lucy Vanderwende, Rizwan Ansary, Ashish Kapoor, Qifa Ke, Matt Uyttendaele, Xin-Jing Wang, Lei Zhang. 1534-1543 [doi]
- Predicting student risks through longitudinal analysisAshay Tamhane, Shajith Ikbal, Bikram Sengupta, Mayuri Duggirala, James Appleton. 1544-1552 [doi]
- Novel geospatial interpolation analytics for general meteorological measurementsBingsheng Wang, Jinjun Xiong. 1553-1562 [doi]
- Targeting direct cash transfers to the extremely poorBrian Abelson, Kush R. Varshney, Joy Sun. 1563-1572 [doi]
- Scalable hands-free transfer learning for online advertisingBrian Dalessandro, Daizhuo Chen, Troy Raeder, Claudia Perlich, Melinda Han Williams, Foster J. Provost. 1573-1582 [doi]
- Correlating events with time series for incident diagnosisChen Luo, Jian-Guang Lou, Qingwei Lin, Qiang Fu, Rui Ding, Dongmei Zhang, Zhe Wang. 1583-1592 [doi]
- Proactive workflow modeling by stochastic processes with application to healthcare operation and managementChuanren Liu, Yong Ge, Hui Xiong, Keli Xiao, Wei Geng, Matt Perkins. 1593-1602 [doi]
- Activity ranking in LinkedIn feedDeepak Agarwal, Bee-Chung Chen, Rupesh Gupta, Joshua Hartman, Qi He, Anand Iyer, Sumanth Kolar, Yiming Ma, Pannagadatta Shivaswamy, Ajit Singh, Liang Zhang. 1603-1612 [doi]
- Budget pacing for targeted online advertisements at LinkedInDeepak Agarwal, Souvik Ghosh, Kai Wei, Siyu You. 1613-1619 [doi]
- Large scale predictive modeling for micro-simulation of 3G air interface loadDejan Radosavljevik, Peter van der Putten. 1620-1629 [doi]
- Unveiling clusters of events for alert and incident management in large-scale enterprise itDerek Lin, Rashmi Raghu, Vivek Ramamurthy, Jin Yu, Regunathan Radhakrishnan, Joseph Fernandez. 1630-1639 [doi]
- Style in the long tail: discovering unique interests with latent variable models in large scale social E-commerceDiane J. Hu, Rob Hall, Josh Attenberg. 1640-1649 [doi]
- Corporate residence fraud detectionEnric Junqué de Fortuny, Marija Stankova, Julie Moeyersoms, Bart Minnaert, Foster J. Provost, David Martens. 1650-1659 [doi]
- Modeling mass protest adoption in social network communities using geometric brownian motionFang Jin, Rupinder Paul Khandpur, Nathan Self, Edward R. Dougherty, Sheng Guo, Feng Chen, B. Aditya Prakash, Naren Ramakrishnan. 1660-1669 [doi]
- (for better automatic hyperlink insertion)Gabor Melli. 1670-1678 [doi]
- A case study: privacy preserving release of spatio-temporal density in parisGergely Ács, Claude Castelluccia. 1679-1688 [doi]
- Scalable near real-time failure localization of data center networksHerodotos Herodotou, Bolin Ding, Shobana Balakrishnan, Geoff Outhred, Percy Fitter. 1689-1698 [doi]
- Improving management of aquatic invasions by integrating shipping network, ecological, and environmental data: data mining for social goodJian Xu, Thanuka L. Wickramarathne, Nitesh V. Chawla, Erin K. Grey, Karsten Steinhaeuser, Reuben P. Keller, John M. Drake, David M. Lodge. 1699-1708 [doi]
- FoodSIS: a text mining system to improve the state of food safety in singaporeKiran Kate, Sneha Chaudhari, Andy Prapanca, Jayant Kalagnanam. 1709-1718 [doi]
- A hazard based approach to user return time predictionKomal Kapoor, Mingxuan Sun, Jaideep Srivastava, Tao Ye. 1719-1728 [doi]
- Predicting employee expertise for talent management in the enterpriseKush R. Varshney, Vijil Chenthamarakshan, Scott W. Fancher, Jun Wang 0006, DongPing Fang, Aleksandra Mojsilovic. 1729-1738 [doi]
- Applying data mining techniques to address critical process optimization needs in advanced manufacturingLi Zheng, Chunqiu Zeng, Lei Li, Yexi Jiang, Wei Xue, Jingxuan Li, Chao Shen, Wubai Zhou, Hongtai Li, Liang Tang, Tao Li, Bing Duan, Ming Lei, Pengnian Wang. 1739-1748 [doi]
- EARS (earthquake alert and report system): a real time decision support system for earthquake crisis managementMarco Avvenuti, Stefano Cresci, Andrea Marchetti, Carlo Meletti, Maurizio Tesconi. 1749-1758 [doi]
- Knock it off: profiling the online storefronts of counterfeit merchandiseMatthew F. Der, Lawrence K. Saul, Stefan Savage, Geoffrey M. Voelker. 1759-1768 [doi]
- Up next: retrieval methods for large scale related video suggestionMichael Bendersky, Lluis Garcia Pueyo, Jeremiah J. Harmsen, Vanja Josifovski, Dima Lepikhin. 1769-1778 [doi]
- Identifying tourists from public transport commutersMingqiang Xue, Huayu Wu, Wei Chen, Gin Howe Goh. 1779-1788 [doi]
- Spatially embedded co-offence prediction using supervised learningMohammad A. Tayebi, Martin Ester, Uwe Glässer, Patricia L. Brantingham. 1789-1798 [doi]
- 'Beating the news' with EMBERS: forecasting civil unrest using open source indicatorsNaren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares. 1799-1808 [doi]
- LASTA: large scale topic assignment on multiple social networksNemanja Spasojevic, Jinyun Yan, Adithya Rao, Prantik Bhattacharyya. 1809-1818 [doi]
- New algorithms for parking demand management and a city-scale deploymentOnno Zoeter, Christopher R. Dance, Stéphane Clinchant, Jean-Marc Andreoli. 1819-1828 [doi]
- Reducing gang violence through network influence based targeting of social programsPaulo Shakarian, Joseph Salmento, William Pulleyblank, John Bertetto. 1829-1836 [doi]
- Modeling impression discounting in large-scale recommender systemsPei Lee, Laks V. S. Lakshmanan, Mitul Tiwari, Sam Shah. 1837-1846 [doi]
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