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ORCID16th ICDM 2016: Barcelona, Spain
- Francesco Bonchi, Josep Domingo-Ferrer, Ricardo Baeza-Yates, Zhi-Hua Zhou, Xindong Wu:
IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain. IEEE Computer Society 2016
Regular Papers
- Philip Adler, Casey Falk, Sorelle A. Friedler, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, Suresh Venkatasubramanian:
Auditing Black-Box Models for Indirect Influence. 1-10 - Inci M. Baytas
, Ming Yan, Anil K. Jain, Jiayu Zhou:
Asynchronous Multi-task Learning. 11-20 - Ahmed Anes Bendimerad, Marc Plantevit, Céline Robardet:
Unsupervised Exceptional Attributed Sub-Graph Mining in Urban Data. 21-30 - Jaroslaw Blasiok, Charalampos E. Tsourakakis:
ADAGIO: Fast Data-Aware Near-Isometric Linear Embeddings. 31-40 - Kailash Budhathoki, Jilles Vreeken:
Causal Inference by Compression. 41-50 - Jose Cadena, Anil Kumar S. Vullikanti, Charu C. Aggarwal:
On Dense Subgraphs in Signed Network Streams. 51-60 - Chien-Wei Chang, Hao-Yi Chih, Dean Chou, Yu-Chen Shu, Kun-Ta Chuang:
Relief of Spatiotemporal Accessibility Overloading with Optimal Resource Placement. 61-70 - Xiaowei Chen, John C. S. Lui:
Mining Graphlet Counts in Online Social Networks. 71-80 - Yan Chen, Ashwin Machanavajjhala, Jerome P. Reiter, Andrés F. Barrientos:
Differentially Private Regression Diagnostics. 81-90 - Alceu Ferraz Costa, Agma Juci Machado Traina, Caetano Traina Jr., Christos Faloutsos:
Vote-and-Comment: Modeling the Coevolution of User Interactions in Social Voting Web Sites. 91-100 - Yi Cui, Di Xiao, Dmitri Loguinov:
On Efficient External-Memory Triangle Listing. 101-110 - Soham De, Tom Goldstein:
Efficient Distributed SGD with Variance Reduction. 111-120 - Kai Fan, Yizhe Zhang, Ricardo Henao, Katherine A. Heller:
Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis. 121-130 - Maryam Fanaeepour, Benjamin I. P. Rubinstein:
Beyond Points and Paths: Counting Private Bodies. 131-140 - Alexander Fonarev, Alexander Mikhalev, Pavel Serdyukov, Gleb Gusev, Ivan V. Oseledets:
Efficient Rectangular Maximal-Volume Algorithm for Rating Elicitation in Collaborative Filtering. 141-150 - Hongchang Gao, Xiaoqian Wang, Heng Huang:
New Robust Clustering Model for Identifying Cancer Genome Landscapes. 151-160 - James Goulding, Simon Preston, Gavin Smith:
Event Series Prediction via Non-Homogeneous Poisson Process Modelling. 161-170 - Suyog Gupta, Wei Zhang, Fei Wang:
Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study. 171-180 - Guyue Han, Harish Sethu:
Waddling Random Walk: Fast and Accurate Mining of Motif Statistics in Large Graphs. 181-190 - Ruining He, Julian J. McAuley:
Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation. 191-200 - Lei Jia, Zhao Zhang, Lei Wang, Weiming Jiang, Ming-Bo Zhao:
Adaptive Neighborhood Propagation by Joint L2, 1-Norm Regularized Sparse Coding for Representation and Classification. 201-210 - Janis Kalofolias, Esther Galbrun, Pauli Miettinen:
From Sets of Good Redescriptions to Good Sets of Redescriptions. 211-220 - Srijan Kumar, Francesca Spezzano, V. S. Subrahmanian, Christos Faloutsos:
Edge Weight Prediction in Weighted Signed Networks. 221-230 - Yan Li, Lu Wang, Jie Wang, Jieping Ye, Chandan K. Reddy:
Transfer Learning for Survival Analysis via Efficient L2, 1-Norm Regularized Cox Regression. 231-240 - Kaixiang Lin, Jiayu Zhou:
Interactive Multi-task Relationship Learning. 241-250 - Chaochun Liu, Huan Sun, Nan Du, Shulong Tan, Hongliang Fei, Wei Fan, Tao Yang, Hao Wu, Yaliang Li, Chenwei Zhang:
Augmented LSTM Framework to Construct Medical Self-Diagnosis Android. 251-260 - Chen Liu, Ke Deng, Chaojie Li, Jianxin Li, Yanhua Li, Jun Luo:
The Optimal Distribution of Electric-Vehicle Chargers across a City. 261-270 - Chunchen Liu, Lu Feng, Ryohei Fujimaki:
Streaming Model Selection via Online Factorized Asymptotic Bayesian Inference. 271-280 - Hongfu Liu, Haiyi Mao, Yun Fu:
Robust Multi-View Feature Selection. 281-290 - Viktor Losing, Barbara Hammer, Heiko Wersing:
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift. 291-300 - Dijun Luo, Zhouyuan Huo, Yang Wang, Andrew J. Saykin, Li Shen, Heng Huang:
New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules. 301-310 - Xin Luo, Mingsheng Shang, Shuai Li:
Efficient Extraction of Non-negative Latent Factors from High-Dimensional and Sparse Matrices in Industrial Applications. 311-319 - John Matta, Tayo Obafemi-Ajayi, Jeffrey Borwey, Donald C. Wunsch, Gunes Ercal:
Robust Graph-Theoretic Clustering Approaches Using Node-Based Resilience Measures. 320-329 - Saskia Metzler, Stephan Günnemann, Pauli Miettinen:
Hyperbolae are No Hyperbole: Modelling Communities That are Not Cliques. 330-339 - Yuji Mo, Stephen D. Scott, Doug Downey:
Learning Hierarchically Decomposable Concepts with Active Over-Labeling. 340-349 - Abdullah Mueen, Nikan Chavoshi, Noor Abu-El-Rub, Hossein Hamooni, Amanda J. Minnich:
AWarp: Fast Warping Distance for Sparse Time Series. 350-359 - Mahdi Pakdaman Naeini, Gregory F. Cooper:
Binary Classifier Calibration Using an Ensemble of Near Isotonic Regression Models. 360-369 - Dheepikaa Natarajan, Sayan Ranu:
A Scalable and Generic Framework to Mine Top-k Representative Subgraph Patterns. 370-379 - Stefan Neumann, Rainer Gemulla, Pauli Miettinen:
What You Will Gain By Rounding: Theory and Algorithms for Rounding Rank. 380-389 - Bruno Ordozgoiti Rubio, Sandra Gómez Canaval, Alberto Mozo:
A Fast Iterative Algorithm for Improved Unsupervised Feature Selection. 390-399 - Zhen Pan, Enhong Chen, Qi Liu, Tong Xu, Haiping Ma, Hongjie Lin:
Sparse Factorization Machines for Click-through Rate Prediction. 400-409 - Guansong Pang, Longbing Cao, Ling Chen, Huan Liu:
Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings. 410-419 - Ha-Myung Park, Namyong Park, Sung-Hyon Myaeng, U Kang:
Partition Aware Connected Component Computation in Distributed Systems. 420-429 - Young Woong Park, Diego Klabjan:
Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis. 430-438 - Soujanya Poria, Iti Chaturvedi, Erik Cambria, Amir Hussain:
Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis. 439-448 - Shuyao Qi, Nikos Mamoulis, Evaggelia Pitoura, Panayiotis Tsaparas:
Recommending Packages to Groups. 449-458 - Saket Sathe, Charu C. Aggarwal:
Subspace Outlier Detection in Linear Time with Randomized Hashing. 459-468 - Kijung Shin, Tina Eliassi-Rad, Christos Faloutsos:
CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and Algorithms. 469-478 - Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy:
L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization. 479-488 - Mengting Wan, Julian J. McAuley:
Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems. 489-498 - Jingyuan Wang, Qian Gu, Junjie Wu, Guannan Liu, Zhang Xiong:
Traffic Speed Prediction and Congestion Source Exploration: A Deep Learning Method. 499-508 - Xiaolong Wang, Jingjing Wang, Luo Jie, Chengxiang Zhai, Yi Chang:
Blind Men and The Elephant: Thurstonian Pairwise Preference for Ranking in Crowdsourcing. 509-518 - Wei Xiong, Bo Du, Lefei Zhang, Ruimin Hu, Dacheng Tao:
Regularizing Deep Convolutional Neural Networks with a Structured Decorrelation Constraint. 519-528 - Linli Xu, Zaiyi Chen, Qi Zhou, Enhong Chen, Nicholas Jing Yuan, Xing Xie:
Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains. 529-538 - Pei Yang, Jingrui He:
Heterogeneous Representation Learning with Structured Sparsity Regularization. 539-548 - Zijun Yao, Yanjie Fu, Bin Liu, Yanchi Liu, Hui Xiong:
POI Recommendation: A Temporal Matching between POI Popularity and User Regularity. 549-558 - Han-Jia Ye, De-Chuan Zhan, Xiaolin Li, Zhen-Chuan Huang, Yuan Jiang:
College Student Scholarships and Subsidies Granting: A Multi-modal Multi-label Approach. 559-568 - Wei Ye, Samuel Maurus, Nina C. Hubig, Claudia Plant:
Generalized Independent Subspace Clustering. 569-578 - Chin-Chia Michael Yeh, Helga Van Herle, Eamonn J. Keogh:
Matrix Profile III: The Matrix Profile Allows Visualization of Salient Subsequences in Massive Time Series. 579-588 - Weiren Yu, Julie A. McCann:
Random Walk with Restart over Dynamic Graphs. 589-598 - Gang Zeng, Yuyi Wang, Juhua Pu, Xingwu Liu, Xiaoming Sun, Jialin Zhang:
Communities in Preference Networks: Refined Axioms and Beyond. 599-608 - Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Homophily, Structure, and Content Augmented Network Representation Learning. 609-618 - Huan Zhang, Cho-Jui Hsieh:
Fixing the Convergence Problems in Parallel Asynchronous Dual Coordinate Descent. 619-628 - Huan Zhang, Cho-Jui Hsieh, Venkatesh Akella:
HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent. 629-638 - Jianfei Zhang, Shengrui Wang, Josiane Courteau, Lifei Chen, Aurélien Bach, Alain Vanasse:
Predicting COPD Failure by Modeling Hazard in Longitudinal Clinical Data. 639-648 - Jie Zhang, Kuang Du, Ruihua Cheng, Zhi Wei, Chenguang Qin, Huaxin You, Sha Hu:
Reliable Gender Prediction Based on Users' Video Viewing Behavior. 649-658 - Lingxiao Zhang, Xiang Li, Haifeng Liu, Jing Mei, Gang Hu, Junfeng Zhao, Yanzhen Zou, Bing Xie, Guotong Xie:
Probabilistic-Mismatch Anomaly Detection: Do One's Medications Match with the Diagnoses. 659-668 - Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Ivor W. Tsang, Chengqi Zhang:
Inferring Latent Network from Cascade Data for Dynamic Social Recommendation. 669-678 - Hongke Zhao, Qi Liu, Yong Ge, Ruoyan Kong, Enhong Chen:
Group Preference Aggregation: A Nash Equilibrium Approach. 679-688 - Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Multi-resolution Spatial Event Forecasting in Social Media. 689-698 - Hao Zhong, Chuanren Liu, Xinjiang Lu, Hui Xiong:
To be or Not to be Friends: Exploiting Social Ties for Venture Investments. 699-708 - Baojian Zhou, Feng Chen:
Graph-Structured Sparse Optimization for Connected Subgraph Detection. 709-718 - Dawei Zhou, Jingrui He, Yu Cao, Jae-sun Seo:
Bi-Level Rare Temporal Pattern Detection. 719-728 - Fengyuan Zhu, Guangyong Chen, Pheng-Ann Heng:
A Bayesian Nonparametric Approach to Dynamic Dyadic Data Prediction. 729-738 - Yan Zhu, Zachary Zimmerman, Nader Shakibay Senobari, Chin-Chia Michael Yeh, Gareth J. Funning, Abdullah Mueen, Philip Brisk, Eamonn J. Keogh:
Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins. 739-748 - Zihao Zhu, Changchang Yin, Buyue Qian, Yu Cheng, Jishang Wei, Fei Wang:
Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding. 749-758 - Ali Zonoozi, Qirong Ho, Shonali Krishnaswamy, Gao Cong:
ConTrack: A Scalable Method for Tracking Multiple Concepts in Large Scale Multidimensional Data. 759-768
Short Papers
- Takuya Akiba, Kenko Nakamura, Taro Takaguchi:
Fractality of Massive Graphs: Scalable Analysis with Sketch-Based Box-Covering Algorithm. 769-774 - Takuya Akiba, Yoichi Iwata, Yosuke Sameshima, Naoto Mizuno, Yosuke Yano:
Cut Tree Construction from Massive Graphs. 775-780 - Basma Alharbi, Xiangliang Zhang:
Learning from Your Network of Friends: A Trajectory Representation Learning Model Based on Online Social Ties. 781-786 - Albert Arockiasamy, Aristides Gionis, Nikolaj Tatti:
A Combinatorial Approach to Role Discovery. 787-792 - Kaustubh Beedkar, Rainer Gemulla:
DESQ: Frequent Sequence Mining with Subsequence Constraints. 793-798 - Davis W. Blalock, John V. Guttag:
EXTRACT: Strong Examples from Weakly-Labeled Sensor Data. 799-804 - Johannes Blömer, Sascha Brauer, Kathrin Bujna:
A Theoretical Analysis of the Fuzzy K-Means Problem. 805-810 - Swarup Chandra, Ahsanul Haque, Latifur Khan, Charu C. Aggarwal:
Efficient Sampling-Based Kernel Mean Matching. 811-816 - Nikan Chavoshi, Hossein Hamooni, Abdullah Mueen:
DeBot: Twitter Bot Detection via Warped Correlation. 817-822 - Junxiang Chen, Yale Chang, Brian Hobbs, Peter J. Castaldi, Michael H. Cho, Edwin K. Silverman, Jennifer G. Dy:
Interpretable Clustering via Discriminative Rectangle Mixture Model. 823-828 - Alex J. Chin, Timothy D. Goodrich, Michael P. O'Brien, Felix Reidl, Blair D. Sullivan, Andrew van der Poel:
Asymptotic Analysis of Equivalences and Core-Structures in Kronecker-Style Graph Models. 829-834 - Hyunsouk Cho, Jinyoung Yeo, Seung-won Hwang:
Event Grounding from Multimodal Social Network Fusion. 835-840 - Hong-Min Chu, Hsuan-Tien Lin:
Can Active Learning Experience Be Transferred? 841-846 - Xuan-Hong Dang, Arlei Silva, Ambuj K. Singh, Ananthram Swami, Prithwish Basu:
Outlier Detection from Network Data with Subnetwork Interpretation. 847-852 - Shubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott:
Incorporating Expert Feedback into Active Anomaly Discovery. 853-858 - Min Du, Feifei Li:
Spell: Streaming Parsing of System Event Logs. 859-864 - Tao-Yang Fu, Zhen Lei, Wang-Chien Lee:
Modeling Time Lags in Citation Networks. 865-870 - Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha Pratim Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell:
Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis. 871-876 - Yanjie Fu, Junming Liu, Xiaolin Li, Xinjiang Lu, Jingci Ming, Chu Guan, Hui Xiong:
Service Usage Analysis in Mobile Messaging Apps: A Multi-label Multi-view Perspective. 877-882 - Akinori Fujino, Naonori Ueda:
A Semi-Supervised AUC Optimization Method with Generative Models. 883-888 - Sebastian Goebl, Annika Tonch, Christian Böhm, Claudia Plant:
MeGS: Partitioning Meaningful Subgraph Structures Using Minimum Description Length. 889-894 - Aubrey Gress, Ian Davidson:
Probabilistic Formulations of Regression with Mixed Guidance. 895-900 - Yulong Gu, Jiaxing Song, Weidong Liu, Lixin Zou:
HLGPS: A Home Location Global Positioning System in Location-Based Social Networks. 901-906 - Huan Gui, Jialu Liu, Fangbo Tao, Meng Jiang, Brandon Norick, Jiawei Han:
Large-Scale Embedding Learning in Heterogeneous Event Data. 907-912 - Tias Guns, Achille Aknin, Jefrey Lijffijt, Tijl De Bie:
Direct Mining of Subjectively Interesting Relational Patterns. 913-918 - Baolin Guo, Chenping Hou, Feiping Nie, Dongyun Yi:
Semi-Supervised Multi-label Dimensionality Reduction. 919-924 - Kuan-Hao Huang, Hsuan-Tien Lin:
A Novel Uncertainty Sampling Algorithm for Cost-Sensitive Multiclass Active Learning. 925-930 - Shuji Hao, Peilin Zhao, Jing Lu, Steven C. H. Hoi, Chunyan Miao, Chi Zhang:
SOAL: Second-Order Online Active Learning. 931-936 - Ruining He, Charles Packer, Julian J. McAuley:
Learning Compatibility Across Categories for Heterogeneous Item Recommendation. 937-942 - Seyyed Abbas Hosseini, Ali Khodadadi, Ali Arabzadeh, Hamid R. Rabiee:
HNP3: A Hierarchical Nonparametric Point Process for Modeling Content Diffusion over Social Media. 943-948 - Jun Hu, Ping Li:
Improved and Scalable Bradley-Terry Model for Collaborative Ranking. 949-954 - Tsuyoshi Idé, Ankush Khandelwal, Jayant Kalagnanam:
Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection. 955-960 - Muhammad Imran, Sanjay Chawla, Carlos Castillo:
A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting. 961-966 - Ishan Jindal, Matthew S. Nokleby, Xue-wen Chen:
Learning Deep Networks from Noisy Labels with Dropout Regularization. 967-972 - Jinhong Jung, Woojeong Jin, Lee Sael, U Kang:
Personalized Ranking in Signed Networks Using Signed Random Walk with Restart. 973-978 - Gilad Katz, Eui Chul Richard Shin, Dawn Song:
ExploreKit: Automatic Feature Generation and Selection. 979-984 - Kun Kuang, Meng Jiang, Peng Cui, Shiqiang Yang:
Steering Social Media Promotions with Effective Strategies. 985-990 - Jihwan Lee, Keehwan Park, Sunil Prabhakar:
Mining Statistically Significant Attribute Associations in Attributed Graphs. 991-996 - Clément Lesaege, François Schnitzler, Anne Lambert, Jean-Ronan Vigouroux:
Time-Aware User Identification with Topic Models. 997-1002 - Jundong Li, Xia Hu, Ling Jian, Huan Liu:
Toward Time-Evolving Feature Selection on Dynamic Networks. 1003-1008 - Pei-Pei Li, Lu He, Xuegang Hu, Yuhong Zhang, Lei Li, Xindong Wu:
Concept Based Short Text Stream Classification with Topic Drifting Detection. 1009-1014 - Ya Li, Xinmei Tian, Dacheng Tao:
Regularized Large Margin Distance Metric Learning. 1015-1022 - Defu Lian, Yuyang Ye, Wenya Zhu, Qi Liu, Xing Xie, Hui Xiong:
Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation. 1023-1028 - Defu Lian, Zhenyu Zhang, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie:
Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation. 1029-1034 - Yi Liao, Xinshi Lin, Wai Lam:
Whether This Participant will Attract You to This Event? Exploiting Participant Influence for Event Recommendation. 1035-1040 - Jason Lines, Sarah Taylor, Anthony J. Bagnall:
HIVE-COTE: The Hierarchical Vote Collective of Transformation-Based Ensembles for Time Series Classification. 1041-1046 - Bang Liu, Borislav Mavrin, Di Niu, Linglong Kong:
House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis. 1047-1052 - Qiang Liu, Shu Wu, Diyi Wang, Zhaokang Li, Liang Wang:
Context-Aware Sequential Recommendation. 1053-1058 - Hongfu Liu, Ming Shao, Yun Fu:
Structure-Preserved Multi-source Domain Adaptation. 1059-1064 - Liu Liu, Dacheng Tao:
Sublinear Dual Coordinate Ascent for Regularized Loss Minimization. 1065-1070 - Tianshu Lyu, Lidong Bing, Zhao Zhang, Yan Zhang:
Efficient and Scalable Detection of Overlapping Communities in Big Networks. 1071-1076 - Samuel Maurus, Claudia Plant:
Factorizing Complex Discrete Data "with Finesse". 1077-1082 - Sourav Medya, Petko Bogdanov, Ambuj K. Singh:
Towards Scalable Network Delay Minimization. 1083-1088 - Jarrod Moore, Margareta Ackerman:
Foundations of Perturbation Robust Clustering. 1089-1094 - Christopher Morris, Nils M. Kriege, Kristian Kersting, Petra Mutzel:
Faster Kernels for Graphs with Continuous Attributes via Hashing. 1095-1100 - Harikrishna Narasimhan, Weiwei Pan, Purushottam Kar, Pavlos Protopapas, Harish G. Ramaswamy:
Optimizing the Multiclass F-Measure via Biconcave Programming. 1101-1106 - Vu Nguyen, Santu Rana, Sunil Kumar Gupta, Cheng Li, Svetha Venkatesh:
Budgeted Batch Bayesian Optimization. 1107-1112 - Vu Nguyen, Tu Dinh Nguyen, Trung Le, Svetha Venkatesh, Dinh Q. Phung:
One-Pass Logistic Regression for Label-Drift and Large-Scale Classification on Distributed Systems. 1113-1118 - Jingchao Ni, Wei Cheng, Wei Fan, Xiang Zhang:
Self-Grouping Multi-network Clustering. 1119-1124 - Sarana Nutanong, Chenyun Yu, Raheem Sarwar, Peter Xu, Dickson Chow:
A Scalable Framework for Stylometric Analysis Query Processing. 1125-1130 - Amichai Painsky, Saharon Rosset:
Compressing Random Forests. 1131-1136 - Chong Peng, Zhao Kang, Qiang Cheng:
A Fast Factorization-Based Approach to Robust PCA. 1137-1142 - Miquel Perelló-Nieto, Telmo de Menezes e Silva Filho, Meelis Kull, Peter A. Flach:
Background Check: A General Technique to Build More Reliable and Versatile Classifiers. 1143-1148 - Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang:
Product-Based Neural Networks for User Response Prediction. 1149-1154 - Sanguthevar Rajasekaran, Subrata Saha:
Efficient Algorithms for the Three Locus Problem in Genome-Wide Association Study. 1155-1160 - Thilina Ranbaduge, Dinusha Vatsalan, Peter Christen:
Scalable Block Scheduling for Efficient Multi-database Record Linkage. 1161-1166 - Shebuti Rayana, Wen Zhong, Leman Akoglu:
Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective. 1167-1172 - Ramin Raziperchikolaei, Miguel Á. Carreira-Perpiñán:
Learning Independent, Diverse Binary Hash Functions: Pruning and Locality. 1173-1178 - Matteo Ruggero Ronchi, Joon Sik Kim, Yisong Yue:
A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses. 1179-1184 - Alejandro García-Rudolph, Alberto García-Molina, Eloy Opisso, Josep María Tormos:
Patterns in Cognitive Rehabilitation of Traumatic Brain Injury Patients: A Text Mining Approach. 1185-1190 - Erik Scharwächter, Emmanuel Müller, Jonathan F. Donges, Marwan Hassani, Thomas Seidl:
Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining. 1191-1196 - Junming Shao, Chen Huang, Qinli Yang, Guangchun Luo:
Reliable Semi-supervised Learning. 1197-1202 - Weixiang Shao, Lifang He, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu:
Online Unsupervised Multi-view Feature Selection. 1203-1208 - Diego Furtado Silva, Gustavo E. A. P. A. Batista, Eamonn J. Keogh:
Prefix and Suffix Invariant Dynamic Time Warping. 1209-1214 - Qi Song, Yinghui Wu, Xin Luna Dong:
Mining Summaries for Knowledge Graph Search. 1215-1220 - Atsushi Suzuki, Kohei Miyaguchi, Kenji Yamanishi:
Structure Selection for Convolutive Non-negative Matrix Factorization Using Normalized Maximum Likelihood Coding. 1221-1226 - Fei Tan, Chaoran Cheng, Zhi Wei:
Modeling Real Estate for School District Identification. 1227-1232 - Bhanukiran Vinzamuri, Karthik K. Padthe, Chandan K. Reddy:
Feature Grouping Using Weighted l1 Norm for High-Dimensional Data. 1233-1238 - De Wang, Feiping Nie, Heng Huang:
Learning Task Relational Structure for Multi-task Feature Learning. 1239-1244 - Hao Wang, Yan Yang, Tianrui Li:
Multi-view Clustering via Concept Factorization with Local Manifold Regularization. 1245-1250 - Huihui Wang, Yang Gao, Yinghuan Shi, Hao Wang:
A Fast Distributed Classification Algorithm for Large-Scale Imbalanced Data. 1251-1256 - Leye Wang, Daqing Zhang, Dingqi Yang, Brian Y. Lim, Xiaojuan Ma:
Differential Location Privacy for Sparse Mobile Crowdsensing. 1257-1262 - Qi Wang, Pinghua Gong, Shiyu Chang, Thomas S. Huang, Jiayu Zhou:
Robust Convex Clustering Analysis. 1263-1268 - Tong Wang, Cynthia Rudin, Finale Doshi-Velez, Yimin Liu, Erica Klampfl, Perry MacNeille:
Bayesian Rule Sets for Interpretable Classification. 1269-1274 - Yang Wang, Binxin Liang, Wei Zheng, Liusheng Huang, Hengchang Liu:
The Development of a Smart Taxicab Scheduling System: A Multi-source Data Fusion Perspective. 1275-1280 - Yijun Wang, Le Wu, Zongda Wu, Enhong Chen, Qi Liu:
Selecting Valuable Customers for Merchants in E-Commerce Platforms. 1281-1286 - Wei Wu, Bin Li, Ling Chen, Chengqi Zhang:
Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash. 1287-1292 - Jianwei Xiao, Ming Gu:
Spectrum-Revealing Cholesky Factorization for Kernel Methods. 1293-1298 - Guangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, Aidong Zhang:
Topic Discovery for Short Texts Using Word Embeddings. 1299-1304 - Hongxia Yang, Quan Lu:
Dynamic Contextual Multi Arm Bandits in Display Advertisement. 1305-1310 - Pei Yang, Jingrui He:
Functional Regression with Mode-Sparsity Constraint. 1311-1316 - Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh:
Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets. 1317-1322 - Chao Yuan, Amit Chakraborty:
Deep Convolutional Factor Analyser for Multivariate Time Series Modeling. 1323-1328 - Shuhan Yuan, Xintao Wu, Yang Xiang:
Incorporating Pre-Training in Long Short-Term Memory Networks for Tweets Classification. 1329-1334 - Mengting Zhan, Shilei Cao, Buyue Qian, Shiyu Chang, Jishang Wei:
Low-Rank Sparse Feature Selection for Patient Similarity Learning. 1335-1340 - Chi Zhang, Peilin Zhao, Shuji Hao, Yeng Chai Soh, Bu-Sung Lee:
ROM: A Robust Online Multi-task Learning Approach. 1341-1346 - Shifeng Zhang, Jianmin Li, Jinma Guo, Bo Zhang:
Scalable Discrete Supervised Hash Learning with Asymmetric Matrix Factorization. 1347-1352 - Xianchao Zhang, Haixin Li, Wenxin Liang, Jiebo Luo:
Multi-type Co-clustering of General Heterogeneous Information Networks via Nonnegative Matrix Tri-Factorization. 1353-1358 - Yizhe Zhang, Yue Zhao, Lawrence David, Ricardo Henao, Lawrence Carin:
Dynamic Poisson Factor Analysis. 1359-1364 - Linfei Zhou, Bianca Wackersreuther, Frank Fiedler, Claudia Plant, Christian Böhm:
Gaussian Component Based Index for GMMs. 1365-1370 - Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou:
Multi-label Learning with Emerging New Labels. 1371-1376
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