Abstract is missing.
- Online Controlled Experiments: Lessons from Running A/B/n Tests for 12 YearsRon Kohavi. 1 [doi]
- MOOCS: What Have We Learned?Daphne Koller. 3 [doi]
- Machine Learning and Causal Inference for Policy EvaluationSusan Athey. 5-6 [doi]
- Data, Knowledge and Discovery: Machine Learning meets Natural ScienceHugh Durrant-Whyte. 7 [doi]
- Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMCSungjin Ahn, Anoop Korattikara, Nathan Liu, Suju Rajan, Max Welling. 9-18 [doi]
- TimeMachine: Timeline Generation for Knowledge-Base EntitiesTim Althoff, Xin Luna Dong, Kevin Murphy, Safa Alai, Van Dang, Wei Zhang. 19-28 [doi]
- Estimating Local Intrinsic DimensionalityLaurent Amsaleg, Oussama Chelly, Teddy Furon, Stéphane Girard, Michael E. Houle, Ken-ichi Kawarabayashi, Michael Nett. 29-38 [doi]
- Portraying Collective Spatial Attention in TwitterÉmilien Antoine, Adam Jatowt, Shoko Wakamiya, Yukiko Kawai, Toyokazu Akiyama. 39-48 [doi]
- Accelerating Dynamic Time Warping Clustering with a Novel Admissible Pruning StrategyNurjahan Begum, Liudmila Ulanova, Jun Wang, Eamonn J. Keogh. 49-58 [doi]
- Efficient Online Evaluation of Big Data Stream ClassifiersAlbert Bifet, Gianmarco De Francisci Morales, Jesse Read, Geoff Holmes, Bernhard Pfahringer. 59-68 [doi]
- Dynamically Modeling Patient's Health State from Electronic Medical Records: A Time Series ApproachKarla L. Caballero Barajas, Ram Akella. 69-78 [doi]
- Facets: Fast Comprehensive Mining of Coevolving High-order Time SeriesYongjie Cai, Hanghang Tong, Wei Fan, Ping Ji, Qing He. 79-88 [doi]
- Online Outlier Exploration Over Large DatasetsLei Cao, Mingrui Wei, Di Yang, Elke A. Rundensteiner. 89-98 [doi]
- BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical ClassificationShayok Chakraborty, Vineeth Nallure Balasubramanian, Adepu Ravi Sankar, Sethuraman Panchanathan, Jieping Ye. 99-108 [doi]
- On the Formation of Circles in Co-authorship NetworksTanmoy Chakraborty 0002, Sikhar Patranabis, Pawan Goyal, Animesh Mukherjee. 109-118 [doi]
- Heterogeneous Network Embedding via Deep ArchitecturesShiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang. 119-128 [doi]
- Differentially Private High-Dimensional Data Publication via Sampling-Based InferenceRui Chen, Qian Xiao, Yu Zhang, Jianliang Xu. 129-138 [doi]
- Efficient Algorithms for Public-Private Social NetworksFlavio Chierichetti, Alessandro Epasto, Ravi Kumar, Silvio Lattanzi, Vahab S. Mirrokni. 139-148 [doi]
- Warm Start for Parameter Selection of Linear ClassifiersBo-Yu Chu, Chia-Hua Ho, Cheng-Hao Tsai, Chieh-Yen Lin, Chih-Jen Lin. 149-158 [doi]
- Stream Sampling for Frequency Cap StatisticsEdith Cohen. 159-168 [doi]
- Adaptation Algorithm and Theory Based on Generalized DiscrepancyCorinna Cortes, Mehryar Mohri, Andres Muñoz Medina. 169-178 [doi]
- Optimal Action Extraction for Random Forests and Boosted TreesZhicheng Cui, Wenlin Chen, Yujie He, Yixin Chen. 179-188 [doi]
- Dynamic Matrix Factorization with Priors on Unknown ValuesRobin Devooght, Nicolas Kourtellis, Amin Mantrach. 189-198 [doi]
- CoupledLP: Link Prediction in Coupled NetworksYuxiao Dong, Jing Zhang, Jie Tang, Nitesh V. Chawla, Bai Wang. 199-208 [doi]
- Unsupervised Feature Selection with Adaptive Structure LearningLiang Du, Yi-Dong Shen. 209-218 [doi]
- Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document StreamsNan Du, Mehrdad Farajtabar, Amr Ahmed, Alexander J. Smola, Le Song. 219-228 [doi]
- Beyond Triangles: A Distributed Framework for Estimating 3-profiles of Large GraphsEthan R. Elenberg, Karthikeyan Shanmugam, Michael Borokhovich, Alexandros G. Dimakis. 229-238 [doi]
- Hierarchical Graph-Coupled HMMs for Heterogeneous Personalized Health DataKai Fan, Marisa Eisenberg, Alison Walsh, Allison Aiello, Katherine A. Heller. 239-248 [doi]
- More Constraints, Smaller Coresets: Constrained Matrix Approximation of Sparse Big DataDan Feldman, Tamir Tassa. 249-258 [doi]
- Certifying and Removing Disparate ImpactMichael Feldman, Sorelle A. Friedler, John Moeller, Carlos Scheidegger, Suresh Venkatasubramanian. 259-268 [doi]
- RSC: Mining and Modeling Temporal Activity in Social MediaAlceu Ferraz Costa, Yuto Yamaguchi, Agma Juci Machado Traina, Caetano Traina Jr., Christos Faloutsos. 269-278 [doi]
- A Clustering-Based Framework to Control Block Sizes for Entity ResolutionJeffrey Fisher, Peter Christen, Qing Wang, Erhard Rahm. 279-288 [doi]
- Who Supported Obama in 2012?: Ecological Inference through Distribution RegressionSeth R. Flaxman, Yu-Xiang Wang, Alexander J. Smola. 289-298 [doi]
- Real Estate Ranking via Mixed Land-use Latent ModelsYanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Yong Ge, Hengshu Zhu, Chen Zhu. 299-308 [doi]
- Adaptive Message Update for Fast Affinity PropagationYasuhiro Fujiwara, Makoto Nakatsuji, Hiroaki Shiokawa, Yasutoshi Ida, Machiko Toyoda. 309-318 [doi]
- Monitoring Least Squares Models of Distributed StreamsMoshe Gabel, Daniel Keren, Assaf Schuster. 319-328 [doi]
- Reconstructing Textual Documents from n-gramsMatthias Gallé, Matías Tealdi. 329-338 [doi]
- Anatomical Annotations for Drosophila Gene Expression Patterns via Multi-Dimensional Visual Descriptors Integration: Multi-Dimensional Feature LearningHongchang Gao, Lin Yan, Weidong Cai, Heng Huang. 339-348 [doi]
- Selective Hashing: Closing the Gap between Radius Search and k-NN SearchJinyang Gao, H. V. Jagadish, Beng Chin Ooi, Sheng Wang. 349-358 [doi]
- Using Local Spectral Methods to Robustify Graph-Based Learning AlgorithmsDavid F. Gleich, Michael W. Mahoney. 359-368 [doi]
- Instance Weighting for Patient-Specific Risk Stratification ModelsJen J. Gong, Thoralf M. Sundt, James D. Rawn, John V. Guttag. 369-378 [doi]
- A Deep Hybrid Model for Weather ForecastingAditya Grover, Ashish Kapoor, Eric Horvitz. 379-386 [doi]
- Network Lasso: Clustering and Optimization in Large GraphsDavid Hallac, Jure Leskovec, Stephen Boyd. 387-396 [doi]
- Learning Tree Structure in Multi-Task LearningLei Han, Yu Zhang. 397-406 [doi]
- Probabilistic Community and Role Model for Social NetworksYu Han, Jie Tang. 407-416 [doi]
- Real-Time Top-R Topic Detection on Twitter with Topic Hijack FilteringKohei Hayashi, Takanori Maehara, Masashi Toyoda, Ken-ichi Kawarabayashi. 417-426 [doi]
- Non-exhaustive, Overlapping Clustering via Low-Rank Semidefinite ProgrammingYangyang Hou, Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon. 427-436 [doi]
- Inferring Air Quality for Station Location Recommendation Based on Urban Big DataHsun-Ping Hsieh, Shou-de Lin, Yu Zheng. 437-446 [doi]
- Website Optimization Problem and Its SolutionsShuhei Iitsuka, Yutaka Matsuo. 447-456 [doi]
- Reciprocity in Social Networks with Capacity ConstraintsBo Jiang, Zhi-Li Zhang, Don Towsley. 457-466 [doi]
- Learning with Similarity Functions on Graphs using Matchings of Geometric EmbeddingsFredrik D. Johansson, Devdatt P. Dubhashi. 467-476 [doi]
- Structured Hedging for Resource Allocations with LeverageNicholas Johnson, Arindam Banerjee. 477-486 [doi]
- Improved Bounds on the Dot Product under Random Projection and Random Sign ProjectionAta Kaban. 487-496 [doi]
- Accelerated Alternating Direction Method of MultipliersMojtaba Kadkhodaie, Konstantina Christakopoulou, Maziar Sanjabi, Arindam Banerjee. 497-506 [doi]
- Deep Computational PhenotypingZhengping Che, David C. Kale, Wenzhe Li, Mohammad Taha Bahadori, Yan Liu. 507-516 [doi]
- Leveraging Social Context for Modeling Topic EvolutionJanani Kalyanam, Amin Mantrach, Diego Sáez-Trumper, Hossein Vahabi, Gert R. G. Lanckriet. 517-526 [doi]
- Scalable Blocking for Privacy Preserving Record LinkageAlexandros Karakasidis, Georgia Koloniari, Vassilios S. Verykios. 527-536 [doi]
- Real Time Recommendations from ConnoisseursNoriaki Kawamae. 537-546 [doi]
- Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships From Social MediaEmre KicKiman, Matthew Richardson. 547-556 [doi]
- On Estimating the Swapping Rate for Categorical DataDaniel Kifer. 557-566 [doi]
- Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix FactorizationHannah Kim, Jaegul Choo, Jingu Kim, Chandan K. Reddy, Haesun Park. 567-576 [doi]
- A Decision Tree Framework for Spatiotemporal Sequence PredictionTaehwan Kim, Yisong Yue, Sarah L. Taylor, Iain Matthews. 577-586 [doi]
- TOPTRAC: Topical Trajectory Pattern MiningYounghoon Kim, Jiawei Han, Cangzhou Yuan. 587-596 [doi]
- From Group to Individual Labels Using Deep FeaturesDimitrios Kotzias, Misha Denil, Nando de Freitas, Padhraic Smyth. 597-606 [doi]
- VEWS: A Wikipedia Vandal Early Warning SystemSrijan Kumar, Francesca Spezzano, V. S. Subrahmanian. 607-616 [doi]
- Unified and Contrasting Cuts in Multiple Graphs: Application to Medical Imaging SegmentationChia-Tung Kuo, Xiang Wang, Peter B. Walker, Owen T. Carmichael, Jieping Ye, Ian Davidson. 617-626 [doi]
- Reducing the Unlabeled Sample Complexity of Semi-Supervised Multi-View LearningChao Lan, Jun Huan. 627-634 [doi]
- Maximum Likelihood Postprocessing for Differential Privacy under Consistency ConstraintsJaewoo Lee, Yue Wang, Daniel Kifer. 635-644 [doi]
- Online Influence MaximizationSiyu Lei, Silviu Maniu, Luyi Mo, Reynold Cheng, Pierre Senellart. 645-654 [doi]
- The Child is Father of the Man: Foresee the Success at the Early StageLiangyue Li, Hanghang Tong. 655-664 [doi]
- 0-Bit Consistent Weighted SamplingPing Li. 665-674 [doi]
- On the Discovery of Evolving TruthYaliang Li, Qi Li, Jing Gao, Lu Su, Bo Zhao, Wei Fan, Jiawei Han. 675-684 [doi]
- MASCOT: Memory-efficient and Accurate Sampling for Counting Local Triangles in Graph StreamsYongsub Lim, U. Kang. 685-694 [doi]
- A Learning-based Framework to Handle Multi-round Multi-party Influence Maximization on Social NetworksSu-Chen Lin, Shou-de Lin, Ming-Syan Chen. 695-704 [doi]
- Temporal Phenotyping from Longitudinal Electronic Health Records: A Graph Based FrameworkChuanren Liu, Fei Wang, Jianying Hu, Hui Xiong. 705-714 [doi]
- Spectral Ensemble ClusteringHongfu Liu, Tongliang Liu, Junjie Wu, Dacheng Tao, Yun Fu. 715-724 [doi]
- Fast and Memory-Efficient Significant Pattern Mining via Permutation TestingFelipe Llinares-López, Mahito Sugiyama, Laetitia Papaxanthos, Karsten M. Borgwardt. 725-734 [doi]
- Influence at Scale: Distributed Computation of Complex Contagion in NetworksBrendan Lucier, Joel Oren, Yaron Singer. 735-744 [doi]
- FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data AggregationFenglong Ma, Yaliang Li, Qi Li, Minghui Qiu, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, Jiawei Han. 745-754 [doi]
- Algorithmic Cartography: Placing Points of Interest and Ads on MapsMohammad Mahdian, Okke Schrijvers, Sergei Vassilvitskii. 755-764 [doi]
- Dimensionality Reduction Via Graph Structure LearningQi Mao, Li Wang, Steve Goodison, Yijun Sun. 765-774 [doi]
- Robust Treecode Approximation for Kernel MachinesWilliam B. March, Bo Xiao, Sameer Tharakan, Chenhan D. Yu, George Biros. 775-784 [doi]
- Inferring Networks of Substitutable and Complementary ProductsJulian J. McAuley, Rahul Pandey, Jure Leskovec. 785-794 [doi]
- Data-Driven Activity Prediction: Algorithms, Evaluation Methodology, and ApplicationsBryan Minor, Janardhan Rao Doppa, Diane J. Cook. 805-814 [doi]
- Scalable Large Near-Clique Detection in Large-Scale Networks via SamplingMichael Mitzenmacher, Jakub Pachocki, Richard Peng, Charalampos E. Tsourakakis, Shen Chen Xu. 815-824 [doi]
- Graph Query Reformulation with DiversityDavide Mottin, Francesco Bonchi, Francesco Gullo. 825-834 [doi]
- Flexible and Robust Multi-Network ClusteringJingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang. 835-844 [doi]
- Extreme States Distribution Decomposition Method for Search Engine Online EvaluationKirill Nikolaev, Alexey Drutsa, Ekaterina Gladkikh, Alexander Ulianov, Gleb Gusev, Pavel Serdyukov. 845-854 [doi]
- Simultaneous Modeling of Multiple Diseases for Mortality Prediction in Acute Hospital CareNozomi Nori, Hisashi Kashima, Kazuto Yamashita, Hiroshi Ikai, Yuichi Imanaka. 855-864 [doi]
- Fast and Robust Parallel SGD Matrix FactorizationJinoh Oh, Wook-Shin Han, Hwanjo Yu, Xiaoqian Jiang. 865-874 [doi]
- Efficient PageRank Tracking in Evolving NetworksNaoto Ohsaka, Takanori Maehara, Ken-ichi Kawarabayashi. 875-884 [doi]
- Quick Sensitivity Analysis for Incremental Data Modification and Its Application to Leave-one-out CV in Linear Classification ProblemsShota Okumura, Yoshiki Suzuki, Ichiro Takeuchi. 885-894 [doi]
- Non-transitive Hashing with Latent Similarity ComponentsMingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu 0001. 895-904 [doi]
- Optimal Kernel Group Transformation for Exploratory Regression Analysis and GraphicsPan Chao, Qiming Huang, Michael Zhu. 905-914 [doi]
- Discovering and Exploiting Deterministic Label Relationships in Multi-Label LearningChristina Papagiannopoulou, Grigorios Tsoumakas, Ioannis Tsamardinos. 915-924 [doi]
- Subspace Clustering Using Log-determinant Rank ApproximationChong Peng, Zhao Kang, Huiqing Li, Qiang Cheng. 925-934 [doi]
- A PCA-Based Change Detection Framework for Multidimensional Data Streams: Change Detection in Multidimensional Data StreamsAbdulhakim Ali Qahtan, Basma Alharbi, Suojin Wang, Xiangliang Zhang. 935-944 [doi]
- State-Driven Dynamic Sensor Selection and Prediction with State-Stacked SparsenessGuo-Jun Qi, Charu Aggarwal, Deepak S. Turaga, Daby M. Sow, Phil Anno. 945-954 [doi]
- SCRAM: A Sharing Considered Route Assignment Mechanism for Fair Taxi Route RecommendationsShiyou Qian, Jian Cao, Frédéric Le Mouël, Issam Sahel, Minglu Li. 955-964 [doi]
- Locally Densest Subgraph DiscoveryLu Qin, Rong-Hua Li, Lijun Chang, Chengqi Zhang. 965-974 [doi]
- Virus Propagation in Multiple Profile NetworksAngeliki Rapti, Spyros Sioutas, Kostas Tsichlas, Giannis Tzimas. 975-984 [doi]
- Collective Opinion Spam Detection: Bridging Review Networks and MetadataShebuti Rayana, Leman Akoglu. 985-994 [doi]
- ClusType: Effective Entity Recognition and Typing by Relation Phrase-Based ClusteringXiang Ren, Ahmed El-Kishky, Chi Wang, Fangbo Tao, Clare R. Voss, Jiawei Han. 995-1004 [doi]
- Mining Frequent Itemsets through Progressive Sampling with Rademacher AveragesMatteo Riondato, Eli Upfal. 1005-1014 [doi]
- Why It Happened: Identifying and Modeling the Reasons of the Happening of Social EventsYu Rong, Hong Cheng, Zhiyu Mo. 1015-1024 [doi]
- Matrix Completion with QueriesNatali Ruchansky, Mark Crovella, Evimaria Terzi. 1025-1034 [doi]
- Stochastic Divergence Minimization for Online Collapsed Variational Bayes Zero Inference of Latent Dirichlet AllocationIssei Sato, Hiroshi Nakagawa. 1035-1044 [doi]
- Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event CountsAaron Schein, John William Paisley, David M. Blei, Hanna M. Wallach. 1045-1054 [doi]
- TimeCrunch: Interpretable Dynamic Graph SummarizationNeil Shah, Danai Koutra, Tianmin Zou, Brian Gallagher, Christos Faloutsos. 1055-1064 [doi]
- Inside Jokes: Identifying Humorous Cartoon CaptionsDafna Shahaf, Eric Horvitz, Robert Mankoff. 1065-1074 [doi]
- Community Detection based on Distance DynamicsJunming Shao, Zhichao Han, Qinli Yang, Tao Zhou. 1075-1084 [doi]
- Discovery of Meaningful Rules in Time SeriesMohammad Shokoohi-Yekta, Yanping Chen 0005, Bilson J. L. Campana, Bing Hu 0001, Jesin Zakaria, Eamonn J. Keogh. 1085-1094 [doi]
- An Evaluation of Parallel Eccentricity Estimation Algorithms on Undirected Real-World GraphsJulian Shun. 1095-1104 [doi]
- Efficient Latent Link Recommendation in Signed NetworksDongjin Song, David A. Meyer, Dacheng Tao. 1105-1114 [doi]
- Turn Waste into Wealth: On Simultaneous Clustering and Cleaning over Dirty DataShaoxu Song, Chunping Li, Xiaoquan Zhang. 1115-1124 [doi]
- Set Cover at Web ScaleStergios Stergiou, Kostas Tsioutsiouliklis. 1125-1133 [doi]
- Exploiting Relevance Feedback in Knowledge Graph SearchYu Su, Shengqi Yang, Huan Sun, Mudhakar Srivatsa, Sue Kase, Michelle Vanni, Xifeng Yan. 1135-1144 [doi]
- LINKAGE: An Approach for Comprehensive Risk Prediction for Care ManagementZhaonan Sun, Fei Wang, Jianying Hu. 1145-1154 [doi]
- Transitive Transfer LearningBen Tan, Yangqiu Song, ErHeng Zhong, Qiang Yang 0001. 1155-1164 [doi]
- PTE: Predictive Text Embedding through Large-scale Heterogeneous Text NetworksJian Tang, Meng Qu, Qiaozhu Mei. 1165-1174 [doi]
- An Effective Marketing Strategy for Revenue Maximization with a Quantity ConstraintYa-Wen Teng, Chih-Hua Tai, Philip S. Yu, Ming-Syan Chen. 1175-1184 [doi]
- Scaling Up Stochastic Dual Coordinate AscentKenneth Tran, Saghar Hosseini, Lin Xiao, Thomas Finley, Mikhail Bilenko. 1185-1194 [doi]
- Discovering Valuable items from Massive DataHastagiri P. Vanchinathan, Andreas Marfurt, Charles-Antoine Robelin, Donald Kossmann, Andreas Krause. 1195-1204 [doi]
- Deep Learning Architecture with Dynamically Programmed Layers for Brain Connectome PredictionVivek Veeriah, Rohit Durvasula, Guo-Jun Qi. 1205-1214 [doi]
- Incorporating World Knowledge to Document Clustering via Heterogeneous Information NetworksChenguang Wang, Yangqiu Song, Ahmed El-Kishky, Dan Roth, Ming Zhang, Jiawei Han. 1215-1224 [doi]
- Towards Interactive Construction of Topical Hierarchy: A Recursive Tensor Decomposition ApproachChi Wang, Xueqing Liu, Yanglei Song, Jiawei Han. 1225-1234 [doi]
- Collaborative Deep Learning for Recommender SystemsHao Wang, Naiyan Wang, Dit-Yan Yeung. 1235-1244 [doi]
- Trading Interpretability for Accuracy: Oblique Treed Sparse Additive ModelsJialei Wang, Ryohei Fujimaki, Yosuke Motohashi. 1245-1254 [doi]
- Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item RecommendationWeiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia Wasim Sadiq, Xiaofang Zhou. 1255-1264 [doi]
- Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data AnalyticsYichen Wang, Robert Chen, Joydeep Ghosh, Joshua C. Denny, Abel N. Kho, You Chen, Bradley A. Malin, Jimeng Sun. 1265-1274 [doi]
- Regularity and Conformity: Location Prediction Using Heterogeneous Mobility DataYingzi Wang, Nicholas Jing Yuan, Defu Lian, Linli Xu, Xing Xie, Enhong Chen, Yong Rui. 1275-1284 [doi]
- Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count PredictionZheng Wang, Prithwish Chakraborty, Sumiko R. Mekaru, John S. Brownstein, Jieping Ye, Naren Ramakrishnan. 1285-1294 [doi]
- Cinema Data Mining: The Smell of FearJörg Wicker, Nicolas Krauter, Bettina Derstorff, Christof Stönner, Efstratios Bourtsoukidis, Thomas Klüpfel, Jonathan Williams, Stefan Kramer 0001. 1295-1304 [doi]
- Predicting Winning Price in Real Time Bidding with Censored DataWush Chi-Hsuan Wu, Mi-Yen Yeh, Ming-Syan Chen. 1305-1314 [doi]
- Diversifying Restricted Boltzmann Machine for Document ModelingPengtao Xie, Yuntian Deng, Eric P. Xing. 1315-1324 [doi]
- Edge-Weighted Personalized PageRank: Breaking A Decade-Old Performance BarrierWenlei Xie, David Bindel, Alan J. Demers, Johannes Gehrke. 1325-1334 [doi]
- Petuum: A New Platform for Distributed Machine Learning on Big DataEric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu. 1335-1344 [doi]
- Longitudinal LASSO: Jointly Learning Features and Temporal Contingency for Outcome PredictionTingyang Xu, Jiangwen Sun, Jinbo Bi. 1345-1354 [doi]
- Performance Modeling and Scalability Optimization of Distributed Deep Learning SystemsFeng Yan, Olatunji Ruwase, Yuxiong He, Trishul M. Chilimbi. 1355-1364 [doi]
- Deep Graph KernelsPinar Yanardag, S. V. N. Vishwanathan. 1365-1374 [doi]
- Model Multiple Heterogeneity via Hierarchical Multi-Latent Space LearningPei Yang, Jingrui He. 1375-1384 [doi]
- Structural Graphical Lasso for Learning Mouse Brain ConnectivitySen Yang, Qian Sun, Shuiwang Ji, Peter Wonka, Ian Davidson, Jieping Ye. 1385-1394 [doi]
- Entity Matching across Heterogeneous SourcesYang Yang, Yizhou Sun, Jie Tang, Bo Ma, Juan-Zi Li. 1395-1404 [doi]
- An Efficient Semi-Supervised Clustering Algorithm with Sequential ConstraintsJinfeng Yi, Lijun Zhang 0005, Tianbao Yang, Wei Liu, Jun Wang. 1405-1414 [doi]
- Assembler: Efficient Discovery of Spatial Co-evolving Patterns in Massive Geo-sensory DataChao Zhang, Yu Zheng, Xiuli Ma, Jiawei Han. 1415-1424 [doi]
- Dynamic Topic Modeling for Monitoring Market Competition from Online Text and Image DataHao Zhang, Gunhee Kim, Eric P. Xing. 1425-1434 [doi]
- Organizational Chart InferenceJiawei Zhang, Philip S. Yu, Yuanhua Lv. 1435-1444 [doi]
- Panther: Fast Top-k Similarity Search on Large NetworksJing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juanzi Li. 1445-1454 [doi]
- A Collective Bayesian Poisson Factorization Model for Cold-start Local Event RecommendationWei Zhang, Jianyong Wang. 1455-1464 [doi]
- Statistical Arbitrage Mining for Display AdvertisingWeinan Zhang, Jun Wang. 1465-1474 [doi]
- Deep Model Based Transfer and Multi-Task Learning for Biological Image AnalysisWenlu Zhang, Rongjian Li, Tao Zeng, Qian Sun, Sudhir Kumar, Jieping Ye, Shuiwang Ji. 1475-1484 [doi]
- COSNET: Connecting Heterogeneous Social Networks with Local and Global ConsistencyYutao Zhang, Jie Tang, Zhilin Yang, Jian Pei, Philip S. Yu. 1485-1494 [doi]
- SAME but Different: Fast and High Quality Gibbs Parameter EstimationHuasha Zhao, Biye Jiang, John F. Canny, Bobby Jaros. 1495-1502 [doi]
- Multi-Task Learning for Spatio-Temporal Event ForecastingLiang Zhao, Qian Sun, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan. 1503-1512 [doi]
- SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet PopularityQingyuan Zhao, Murat A. Erdogdu, Hera Y. He, Anand Rajaraman, Jure Leskovec. 1513-1522 [doi]
- Linear Time Samplers for Supervised Topic Models using Compositional ProposalsXun Zheng, Yaoliang Yu, Eric P. Xing. 1523-1532 [doi]
- L∞ Error and Bandwidth Selection for Kernel Density Estimates of Large DataYan Zheng, Jeff M. Phillips. 1533-1542 [doi]
- Modeling Truth Existence in Truth DiscoveryShi Zhi, Bo Zhao, Wenzhu Tong, Jing Gao, Dian Yu, Heng Ji, Jiawei Han. 1543-1552 [doi]
- Cuckoo Linear AlgebraLi Zhou, David G. Andersen, Mu Li, Alexander J. Smola. 1553-1562 [doi]
- Integrating Vertex-centric Clustering with Edge-centric Clustering for Meta Path Graph AnalysisYang Zhou, Ling Liu, David Buttler. 1563-1572 [doi]
- Modeling User Mobility for Location Promotion in Location-based Social NetworksWen-Yuan Zhu, Wen-Chih Peng, Ling-Jyh Chen, Kai Zheng, Xiaofang Zhou. 1573-1582 [doi]
- Co-Clustering based Dual Prediction for Cargo Pricing OptimizationYada Zhu, Hongxia Yang, Jingrui He. 1583-1592 [doi]
- Debiasing Crowdsourced BatchesHonglei Zhuang, Aditya Parameswaran, Dan Roth, Jiawei Han. 1593-1602 [doi]
- Query Workloads for Data Series IndexesKostas Zoumpatianos, Yin Lou, Themis Palpanas, Johannes Gehrke. 1603-1612 [doi]
- Scaling Machine Learning and Statistics for Web ApplicationsDeepak Agarwal. 1621 [doi]
- Hadoop's Impact on the Future of Data ManagementAmr Awadallah. 1623 [doi]
- Should You Trust Your Money to a Robot?Vasant Dhar. 1625 [doi]
- Data Science at VisaWaqar Hasan, Min Wang. 1627 [doi]
- How Artificial Intelligence and Big Data Created Rocket Fuel: A Case StudyGeorge John. 1629 [doi]
- Optimizing Marketing Impact through Data Driven DecisioningAnil Kamath. 1631 [doi]
- Powering Real-time Decision Engines in Finance and Healthcare using Open Source SoftwareBassel Ojjeh. 1633 [doi]
- Clouded IntelligenceJoseph Sirosh. 1635 [doi]
- Data Science from the Lab to the Field to the EnterpriseChristopher White. 1637 [doi]
- User Modeling in Telecommunications and Internet IndustryQiang Yang. 1639 [doi]
- The Effectiveness of Marketing Strategies in Social Media: Evidence from Promotional EventsPanagiotis Adamopoulos, Vilma Todri. 1641-1650 [doi]
- Personalizing LinkedIn FeedDeepak Agarwal, Bee-Chung Chen, Qi He, Zhenhao Hua, Guy Lebanon, Yiming Ma, Pannagadatta Shivaswamy, Hsiao-Ping Tseng, Jaewon Yang, Liang Zhang. 1651-1660 [doi]
- Whither Social Networks for Web Search?Rakesh Agrawal, Behzad Golshan, Evangelos E. Papalexakis. 1661-1670 [doi]
- Exploiting Data Mining for Authenticity Assessment and Protection of High-Quality Italian Wines from PiedmontMarco Arlorio, Jean Daniel Coïsson, Giorgio Leonardi, Monica Locatelli, Luigi Portinale. 1671-1680 [doi]
- Predictive Approaches for Low-Cost Preventive Medicine Program in Developing CountriesYukino Baba, Hisashi Kashima, Yasunobu Nohara, Eiko Kai, Partha Pratim Ghosh, Rafiqul Islam, Ashir Ahmed, Masahiro Kuroda, Sozo Inoue, Tatsuo Hiramatsu, Michio Kimura, Shuji Shimizu, Kunihisa Kobayashi, Koji Tsuda, Masashi Sugiyama, Mathieu Blondel, Naonori Ueda, Masaru Kitsuregawa, Naoki Nakashima. 1681-1690 [doi]
- Dynamic Hierarchical Classification for Patient Risk-of-ReadmissionSenjuti Basu Roy, Ankur Teredesai, Kiyana Zolfaghar, Rui Liu, David Hazel, Stacey Newman, Albert Marinez. 1691-1700 [doi]
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