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ORCID12th ICDM 2012: Brussels, Belgium
- Mohammed Javeed Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu:
12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-4649-8 - Gergely Ács, Claude Castelluccia, Rui Chen:
Differentially Private Histogram Publishing through Lossy Compression. 1-10 - B. Aditya Prakash, Jilles Vreeken
, Christos Faloutsos:
Spotting Culprits in Epidemics: How Many and Which Ones? 11-20 - Ferit Akova, Murat Dundar, Yuan (Alan) Qi, Bartek Rajwa:
Self-Adjusting Models for Semi-supervised Learning in Partially Observed Settings. 21-30 - Tahseen Al-Khateeb, Mohammad M. Masud, Latifur Khan, Charu C. Aggarwal, Jiawei Han, Bhavani Thuraisingham:
Stream Classification with Recurring and Novel Class Detection Using Class-Based Ensemble. 31-40 - Malak Alshawabkeh, Javed A. Aslam, Jennifer G. Dy, David R. Kaeli:
Feature Weighting and Selection Using Hypothesis Margin of Boosting. 41-50 - Fatemeh Azmandian, Ayse Yilmazer, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli:
GPU-Accelerated Feature Selection for Outlier Detection Using the Local Kernel Density Ratio. 51-60 - Balamurugan P., Shirish K. Shevade, T. Ravindra Babu:
Sequential Alternating Proximal Method for Scalable Sparse Structural SVMs. 61-70 - Suhrid Balakrishnan, Sumit Chopra, David L. Applegate, Simon Urbanek:
Computational Television Advertising. 71-80 - Nicola Barbieri, Francesco Bonchi, Giuseppe Manco:
Topic-Aware Social Influence Propagation Models. 81-90 - Mansurul Bhuiyan, Mahmudur Rahman, Mahmuda Rahman, Mohammad Al Hasan:
GUISE: Uniform Sampling of Graphlets for Large Graph Analysis. 91-100 - Wei Bi, James T. Kwok:
Hierarchical Multilabel Classification with Minimum Bayes Risk. 101-110 - Konstantinos Blekas, Aristidis Likas:
The Mixture of Multi-kernel Relevance Vector Machines Model. 111-120 - Ceren Budak, Divyakant Agrawal, Amr El Abbadi:
Diffusion of Information in Social Networks: Is It All Local? 121-130 - Kai-Wei Chang, Biplab Deka, Wen-mei W. Hwu, Dan Roth:
Efficient Pattern-Based Time Series Classification on GPU. 131-140 - Sanjay Chawla, Yu Zheng, Jiafeng Hu:
Inferring the Root Cause in Road Traffic Anomalies. 141-150 - Yang Chen, Feng Chen, Jing Dai, T. Charles Clancy, Yao-Jan Wu:
Student-t Based Robust Spatio-temporal Prediction. 151-160 - Radha Chitta, Rong Jin, Anil K. Jain:
Efficient Kernel Clustering Using Random Fourier Features. 161-170 - Hanbo Dai, Feida Zhu, Ee-Peng Lim, HweeHwa Pang:
Detecting Anomalies in Bipartite Graphs with Mutual Dependency Principles. 171-180 - Yuxiao Dong, Jie Tang, Sen Wu, Jilei Tian, Nitesh V. Chawla, Jinghai Rao, Huanhuan Cao:
Link Prediction and Recommendation across Heterogeneous Social Networks. 181-190 - Changying Du, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Multi-task Semi-supervised Semantic Feature Learning for Classification. 191-200 - Liang Du, Xuan Li, Yi-Dong Shen:
Robust Nonnegative Matrix Factorization via Half-Quadratic Minimization. 201-210 - Dongsheng Duan, Yuhua Li, Ruixuan Li, Rui Zhang, Aiming Wen:
RankTopic: Ranking Based Topic Modeling. 211-220 - Fabon Dzogang, Christophe Marsala, Marie-Jeanne Lesot, Maria Rifqi:
An Ellipsoidal K-Means for Document Clustering. 221-230 - Dóra Erdös, Rainer Gemulla, Evimaria Terzi:
Reconstructing Graphs from Neighborhood Data. 231-240 - Mingyu Fan, Hong Qiao, Bo Zhang, Xiaoqin Zhang:
Isometric Multi-manifold Learning for Feature Extraction. 241-250 - Yuqiang Fang, Ruili Wang, Bin Dai:
Graph-Oriented Learning via Automatic Group Sparsity for Data Analysis. 251-259 - Pedro Ferrera, Ivan de Prado, Eric Palacios, Jose Luis Fernandez-Marquez, Giovanna Di Marzo Serugendo:
Tuple MapReduce: Beyond Classic MapReduce. 260-269 - Stephan Günnemann, Phuong Dao, Mohsen Jamali, Martin Ester:
Assessing the Significance of Data Mining Results on Graphs with Feature Vectors. 270-279 - Yu Hayashi, Kenji Yamanishi:
Sequential Network Change Detection with Its Applications to Ad Impact Relation Analysis. 280-289 - Jingrui He, Yada Zhu:
Hierarchical Multi-task Learning with Application to Wafer Quality Prediction. 290-298 - Michael E. Houle, Xiguo Ma, Michael Nett, Vincent Oria:
Dimensional Testing for Multi-step Similarity Search. 299-308 - Zhou Jin, Jiuyong Li, Lin Liu, Thuc Duy Le, Bing-Yu Sun, Rujing Wang:
Discovery of Causal Rules Using Partial Association. 309-318 - Ramakrishnan Kannan, Mariya Ishteva, Haesun Park:
Bounded Matrix Low Rank Approximation. 319-328 - Namit Katariya, Arun Shankar Iyer, Sunita Sarawagi:
Active Evaluation of Classifiers on Large Datasets. 329-338 - Gilad Katz, Asaf Shabtai, Lior Rokach, Nir Ofek:
ConfDTree: Improving Decision Trees Using Confidence Intervals. 339-348 - Hyungsul Kim, Yizhou Sun, Julia Hockenmaier, Jiawei Han:
ETM: Entity Topic Models for Mining Documents Associated with Entities. 349-358 - Flip Korn, Ruilin Liu, Wendy Hui Wang:
Understanding Data Completeness in Network Monitoring Systems. 359-368 - Hardy Kremer, Stephan Günnemann, Arne Held, Thomas Seidl:
Effective and Robust Mining of Temporal Subspace Clusters. 369-378 - Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek:
Outlier Detection in Arbitrarily Oriented Subspaces. 379-388 - Himabindu Lakkaraju, Indrajit Bhattacharya, Chiranjib Bhattacharyya:
Dynamic Multi-relational Chinese Restaurant Process for Analyzing Influences on Users in Social Media. 389-398 - Bin Li, Xingquan Zhu, Lianhua Chi, Chengqi Zhang:
Nested Subtree Hash Kernels for Large-Scale Graph Classification over Streams. 399-408 - Jun Li, Peng Zhang, Yanan Cao, Ping Liu, Li Guo:
Efficient Behavior Targeting Using SVM Ensemble Indexing. 409-418 - Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu:
Co-labeling: A New Multi-view Learning Approach for Ambiguous Problems. 419-428 - Frank Lin, William W. Cohen:
A General and Scalable Approach to Mixed Membership Clustering. 429-438 - Bo Liu, Gao Cong, Dong Xu, Yifeng Zeng:
Time Constrained Influence Maximization in Social Networks. 439-448 - Chuanren Liu, Hui Xiong, Yong Ge, Wei Geng, Matt Perkins:
A Stochastic Model for Context-Aware Anomaly Detection in Indoor Location Traces. 449-458 - Lin Liu, Ruoming Jin, Charu C. Aggarwal, Yelong Shen:
Reliable Clustering on Uncertain Graphs. 459-468 - Xutong Liu, Feng Chen, Chang-Tien Lu:
Robust Prediction and Outlier Detection for Spatial Datasets. 469-478 - Wei Lu, Laks V. S. Lakshmanan:
Profit Maximization over Social Networks. 479-488 - Dijun Luo, Chris H. Q. Ding, Heng Huang:
Parallelization with Multiplicative Algorithms for Big Data Mining. 489-498 - Michael Mampaey, Siegfried Nijssen, Ad Feelders, Arno J. Knobbe:
Efficient Algorithms for Finding Richer Subgroup Descriptions in Numeric and Nominal Data. 499-508 - Hossein Maserrat, Jian Pei:
Community Preserving Lossy Compression of Social Networks. 509-518 - Pauli Miettinen:
Dynamic Boolean Matrix Factorizations. 519-528 - Emmanuel Müller, Ira Assent, Patricia Iglesias Sánchez, Yvonne Mülle, Klemens Böhm:
Outlier Ranking via Subspace Analysis in Multiple Views of the Data. 529-538 - Seth A. Myers, Jure Leskovec:
Clash of the Contagions: Cooperation and Competition in Information Diffusion. 539-548 - Ankur Narang, Abhinav Srivastava, Naga Praveen Kumar Katta:
High Performance Offline and Online Distributed Collaborative Filtering. 549-558 - Eric Nichols, Charles DuHadway, Hrishikesh B. Aradhye, Richard F. Lyon:
Automatically Discovering Talented Musicians with Acoustic Analysis of YouTube Videos. 559-565 - Feiping Nie, Hua Wang, Xiao Cai, Heng Huang, Chris H. Q. Ding:
Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization. 566-574 - Hidekazu Oiwa, Shin Matsushima, Hiroshi Nakagawa:
Healing Truncation Bias: Self-Weighted Truncation Framework for Dual Averaging. 575-584 - Tapio Pahikkala, Antti Airola, Fabian Gieseke, Oliver Kramer:
Unsupervised Multi-class Regularized Least-Squares Classification. 585-594 - Bei Pan, Ugur Demiryurek, Cyrus Shahabi:
Utilizing Real-World Transportation Data for Accurate Traffic Prediction. 595-604 - Debprakash Patnaik, Srivatsan Laxman, Badrish Chandramouli, Naren Ramakrishnan:
Efficient Episode Mining of Dynamic Event Streams. 605-614 - Mitat Poyraz, Zeynep Hilal Kilimci, Murat Can Ganiz:
A Novel Semantic Smoothing Method Based on Higher Order Paths for Text Classification. 615-624 - Jana Schmidt, Stefan Kramer:
Online Induction of Probabilistic Real Time Automata. 625-634 - Xiaoxiao Shi, Philip S. Yu:
Dimensionality Reduction on Heterogeneous Feature Space. 635-644 - Mark Smith, Steven Reece, Stephen J. Roberts, Iead Rezek:
Online Maritime Abnormality Detection Using Gaussian Processes and Extreme Value Theory. 645-654 - Christina Teflioudi, Faraz Makari, Rainer Gemulla:
Distributed Matrix Completion. 655-664 - Ze Tian, Huanan Zhang, Rui Kuang:
Sparse Group Selection on Fused Lasso Components for Identifying Group-Specific DNA Copy Number Variations. 665-674 - Grigorios Tzortzis, Aristidis Likas:
Kernel-Based Weighted Multi-view Clustering. 675-684 - Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, Pramod P. Wangikar:
Local and Global Algorithms for Learning Dynamic Bayesian Networks. 685-694 - Byron C. Wallace, Issa J. Dahabreh:
Class Probability Estimates are Unreliable for Imbalanced Data (and How to Fix Them). 695-704 - Joyce Jiyoung Whang, Xin Sui, Inderjit S. Dhillon:
Scalable and Memory-Efficient Clustering of Large-Scale Social Networks. 705-714 - Linli Xu, Bo Li, Enhong Chen:
Ensemble Pruning via Constrained Eigen-Optimization. 715-724 - Xinxing Xu, Ivor W. Tsang, Dong Xu:
Handling Ambiguity via Input-Output Kernel Learning. 725-734 - Zhao Xu, Kristian Kersting, Christian Bauckhage:
Efficient Learning for Hashing Proportional Data. 735-744 - Jaewon Yang, Jure Leskovec:
Defining and Evaluating Network Communities Based on Ground-Truth. 745-754 - Yang Yang, Nitesh V. Chawla, Yizhou Sun, Jiawei Han:
Predicting Links in Multi-relational and Heterogeneous Networks. 755-764 - Hsiang-Fu Yu, Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon:
Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems. 765-774 - Guo-Xun Yuan, Kwan-Liu Ma:
Scalable Training of Sparse Linear SVMs. 775-784 - Jesin Zakaria, Abdullah Mueen, Eamonn J. Keogh:
Clustering Time Series Using Unsupervised-Shapelets. 785-794 - Yan Zhou, Murat Kantarcioglu, Bhavani Thuraisingham:
Self-Training with Selection-by-Rejection. 795-803 - Blake Anderson, Curtis B. Storlie, Terran Lane:
Multiple Kernel Learning Clustering with an Application to Malware. 804-809 - Cuneyt Gurcan Akcora, Barbara Carminati, Elena Ferrari:
Risks of Friendships on Social Networks. 810-815 - Md. Hijbul Alam, SangKeun Lee:
Semantic Aspect Discovery for Online Reviews. 816-821 - Mohammad Ali Bagheri, Qigang Gao, Sergio Escalera:
Rough Set Subspace Error-Correcting Output Codes. 822-827 - Gilles Bisson, Clément Grimal:
Co-clustering of Multi-view Datasets: A Parallelizable Approach. 828-833 - Anveshi Charuvaka, Huzefa Rangwala:
Multi-task Learning for Classifying Proteins Using Dual Hierarchies. 834-839 - Yu-Wei Chu, Chih-Hua Tai, Ming-Syan Chen, Philip S. Yu:
Privacy-Preserving SimRank over Distributed Information Network. 840-845 - Fatemeh Dorri, Ali Ghodsi:
Adapting Component Analysis. 846-851 - Mingyu Fan, Xiaoqin Zhang, Zhouchen Lin, Zhongfei Zhang, Hujun Bao:
Geodesic Based Semi-supervised Multi-manifold Feature Extraction. 852-857 - Meng Fang, Xingquan Zhu, Bin Li, Wei Ding, Xindong Wu:
Self-Taught Active Learning from Crowds. 858-863 - Zheng Fang, Zhongfei (Mark) Zhang:
Simultaneously Combining Multi-view Multi-label Learning with Maximum Margin Classification. 864-869 - Mario Frank, Ben Dong, Adrienne Porter Felt, Dawn Song:
Mining Permission Request Patterns from Android and Facebook Applications. 870-875 - Liang Ge, Jing Gao, Xiao Yu, Wei Fan, Aidong Zhang:
Estimating Local Information Trustworthiness via Multi-source Joint Matrix Factorization. 876-881 - Quanquan Gu, Jiawei Han:
Towards Active Learning on Graphs: An Error Bound Minimization Approach. 882-887 - Yuhong Guo, Min Xiao:
Transductive Representation Learning for Cross-Lingual Text Classification. 888-893 - Shrutendra K. Harsola, Prasad M. Deshpande, Jayant R. Haritsa:
IceCube: Efficient Targeted Mining in Data Cubes. 894-899 - Hao Huang, Hong Qin, Shinjae Yoo, Dantong Yu:
A New Anomaly Detection Algorithm Based on Quantum Mechanics. 900-905 - Katsuhiko Ishiguro, Akisato Kimura, Koh Takeuchi:
Towards Automatic Image Understanding and Mining via Social Curation. 906-911 - Shangpu Jiang, Daniel Lowd, Dejing Dou:
Learning to Refine an Automatically Extracted Knowledge Base Using Markov Logic. 912-917 - Kyomin Jung, Wooram Heo, Wei Chen:
IRIE: Scalable and Robust Influence Maximization in Social Networks. 918-923 - Faisal Kamiran, Asim Karim, Xiangliang Zhang:
Decision Theory for Discrimination-Aware Classification. 924-929 - Yoonseop Kang, Saehoon Kim, Seungjin Choi:
Deep Learning to Hash with Multiple Representations. 930-935 - Pooyan Khajehpour Tadavani, Ali Ghodsi:
Low Dimensional Localized Clustering (LDLC). 936-941 - Deguang Kong, Chris H. Q. Ding:
A Semi-definite Positive Linear Discriminant Analysis and Its Applications. 942-947 - Jérôme Kunegis, Jörg Fliege:
Predicting Directed Links Using Nondiagonal Matrix Decompositions. 948-953 - Byunghan Lee, Joonhong Park, Sungroh Yoon:
Rapid and Robust Denoising of Pyrosequenced Amplicons for Metagenomics. 954-959 - Wonyeol Lee, Jinha Kim, Hwanjo Yu:
CT-IC: Continuously Activated and Time-Restricted Independent Cascade Model for Viral Marketing. 960-965 - Yifeng Li, Alioune Ngom:
Fast Kernel Sparse Representation Approaches for Classification. 966-971 - Nedim Lipka, Benno Stein, James G. Shanahan:
Estimating the Expected Effectiveness of Text Classification Solutions under Subclass Distribution Shifts. 972-977 - Eric Yi Liu, Zhishan Guo, Xiang Zhang, Vladimir Jojic, Wei Wang:
Metric Learning from Relative Comparisons by Minimizing Squared Residual. 978-983 - Junqiang Liu, Ke Wang, Benjamin C. M. Fung:
Direct Discovery of High Utility Itemsets without Candidate Generation. 984-989 - Steven Loscalzo, Robert William Wright, Kevin Acunto, Lei Yu:
Progressive Mining of Transition Dynamics for Autonomous Control. 990-995 - Qiang Lou, Zoran Obradovic:
Analysis of Temporal High-Dimensional Gene Expression Data for Identifying Informative Biomarker Candidates. 996-1001 - Zhiwu Lu, Yuxin Peng:
Heterogeneous Constraint Propagation with Constrained Sparse Representation. 1002-1007 - Dhruv Mahajan, Sundararajan Sellamanickam, Subhajit Sanyal, Amit Madaan:
A Classification Based Framework for Concept Summarization. 1008-1013 - Son T. Mai, Sebastian Goebl, Claudia Plant:
A Similarity Model and Segmentation Algorithm for White Matter Fiber Tracts. 1014-1019 - Julian J. McAuley, Jure Leskovec, Dan Jurafsky:
Learning Attitudes and Attributes from Multi-aspect Reviews. 1020-1025 - Phong Nguyen, Jun Wang, Melanie Hilario, Alexandros Kalousis:
Learning Heterogeneous Similarity Measures for Hybrid-Recommendations in Meta-Mining. 1026-1031 - Feng Niu, Ce Zhang, Christopher Ré, Jude W. Shavlik:
Scaling Inference for Markov Logic via Dual Decomposition. 1032-1037 - Anastasios Noulas, Salvatore Scellato, Neal Lathia, Cecilia Mascolo:
Mining User Mobility Features for Next Place Prediction in Location-Based Services. 1038-1043 - Orlando Ohashi, Luís Torgo:
Spatial Interpolation Using Multiple Regression. 1044-1049 - Masayuki Okabe, Seiji Yamada:
Clustering by Learning Constraints Priorities. 1050-1055 - Amichai Painsky, Saharon Rosset:
Exclusive Row Biclustering for Gene Expression Using a Combinatorial Auction Approach. 1056-1061 - Niketan Pansare, Chris Jermaine, Peter J. Haas, Nitendra Rajput:
Topic Models over Spoken Language. 1062-1067 - Chengbin Peng, Ka-Chun Wong, Alyn Rockwood, Xiangliang Zhang, Jinling Jiang, David E. Keyes:
Multiplicative Algorithms for Constrained Non-negative Matrix Factorization. 1068-1073 - Huida Qiu, Yan Liu, Niranjan A. Subrahmanya, Weichang Li:
Granger Causality for Time-Series Anomaly Detection. 1074-1079 - Umaa Rebbapragada, Carla E. Brodley, Damien Sulla-Menashe, Mark A. Friedl:
Active Label Correction. 1080-1085 - Rafael Geraldeli Rossi, Thiago de Paulo Faleiros, Alneu de Andrade Lopes, Solange Oliveira Rezende:
Inductive Model Generation for Text Categorization Using a Bipartite Heterogeneous Network. 1086-1091 - Budhaditya Saha, Dinh Q. Phung, Duc-Son Pham, Svetha Venkatesh:
Sparse Subspace Representation for Spectral Document Clustering. 1092-1097 - Chun-Wei Seah, Ivor Wai-Hung Tsang, Yew-Soon Ong, Qi Mao:
Learning Target Predictive Function without Target Labels. 1098-1103 - Ming Shao, Carlos Castillo, Zhenghong Gu, Yun Fu:
Low-Rank Transfer Subspace Learning. 1104-1109 - Yelong Shen, Ruoming Jin, Dejing Dou, Nafisa Afrin Chowdhury, Junfeng Sun, Brigitte Piniewski, David Kil:
Socialized Gaussian Process Model for Human Behavior Prediction in a Health Social Network. 1110-1115 - Jafar Tanha, Maarten van Someren, Hamideh Afsarmanesh:
An AdaBoost Algorithm for Multiclass Semi-supervised Learning. 1116-1121 - Duy Tin Truong, Roberto Battiti:
A Cluster-Oriented Genetic Algorithm for Alternative Clustering. 1122-1127 - Carlos Vivaracho-Pascual, María Arancha Simón Hurtado, Esperanza Manso Martínez, Juan Manuel Pascual-Gaspar:
A New Proposal for Score Normalization in Biometric Signature Recognition Based on Client Threshold Prediction. 1128-1133 - Bingsheng Wang, Feng Chen, Haili Dong, Arnold P. Boedihardjo, Chang-Tien Lu:
Signal Disaggregation via Sparse Coding with Featured Discriminative Dictionary. 1134-1139 - Jialei Wang, Peilin Zhao, Steven C. H. Hoi:
Cost-Sensitive Online Classification. 1140-1145 - Xiang Wang, Buyue Qian, Ian Davidson:
Labels vs. Pairwise Constraints: A Unified View of Label Propagation and Constrained Spectral Clustering. 1146-1151 - Yuanhong Wang, Yang Liu, Xiaohui Yu:
Collaborative Filtering with Aspect-Based Opinion Mining: A Tensor Factorization Approach. 1152-1157 - Tong Xu, Dong Liu, Enhong Chen, Huanhuan Cao, Jilei Tian:
Towards Annotating Media Contents through Social Diffusion Analysis. 1158-1163 - Hedong Yang, Lijie Wen, Jianmin Wang:
An Approach to Evaluate the Local Completeness of an Event Log. 1164-1169 - Jaewon Yang, Jure Leskovec:
Community-Affiliation Graph Model for Overlapping Network Community Detection. 1170-1175 - Jinfeng Yi, Tianbao Yang, Rong Jin, Anil K. Jain, Mehrdad Mahdavi:
Robust Ensemble Clustering by Matrix Completion. 1176-1181 - Mingxuan Yuan, Lei Chen, Weixiong Rao, Hong Mei:
A General Framework for Publishing Privacy Protected and Utility Preserved Graph. 1182-1187 - Jeong-Min Yun, Saehoon Kim, Seungjin Choi:
Hashing with Generalized Nyström Approximation. 1188-1193 - Xianchao Zhang, Shaoping Zhu, Wenxin Liang:
Detecting Spam and Promoting Campaigns in the Twitter Social Network. 1194-1199 - Xinjie Zhou, Xiaojun Wan, Jianguo Xiao:
Cross-Language Opinion Target Extraction in Review Texts. 1200-1205 - Yan Zhou, Murat Kantarcioglu, Bhavani Thuraisingham:
Sparse Bayesian Adversarial Learning Using Relevance Vector Machine Ensembles. 1206-1211 - Hengshu Zhu, Enhong Chen, Kuifei Yu, Huanhuan Cao, Hui Xiong, Jilei Tian:
Mining Personal Context-Aware Preferences for Mobile Users. 1212-1217 - Bo Zong, Yinghui Wu, Ambuj K. Singh, Xifeng Yan:
Inferring the Underlying Structure of Information Cascades. 1218-1223
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