Table of Contents

• Text Categorization Using Word Similarities Based on Higher Order Co-occurrencesSyed Fawad Hussain, Gilles Bisson. 1-12 [doi]
• Exploiting Associations between Word Clusters and Document Classes for Cross-Domain Text CategorizationFuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi. 13-24 [doi]
• Semi-supervised Bio-named Entity Recognition with Word-Codebook LearningPavel P. Kuksa, Yanjun Qi. 25-36 [doi]
• Improving Accessibility of Transaction-centric Web ObjectsMuhammad Asiful Islam, Faisal Ahmed, Yevgen Borodin, Jalal Mahmud, I. V. Ramakrishnan. 37-48 [doi]
• Reconstructing Randomized Social NetworksNiko Vuokko, Evimaria Terzi. 49-59 [doi]
• Reconstruction from Randomized Graph via Low Rank ApproximationLeting Wu, Xiaowei Ying, Xintao Wu. 60-71 [doi]
• Do You Trust to Get Trust? A Study of Trust Reciprocity Behaviors and Reciprocal Trust PredictionViet-An Nguyen, Ee-Peng Lim, Hwee-Hoon Tan, Jing Jiang, Aixin Sun. 72-83 [doi]
• Publishing Skewed Sensitive MicrodataYabo Xu, Ke Wang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong. 84-93 [doi]
• A SAT-based Framework for Efficient Constrained ClusteringIan Davidson, S. S. Ravi, Leonid Shamis. 94-105 [doi]
• Spectral and Semidefinite Relaxation of the CLUHSIC AlgorithmWen-Yun Yang, James T. Kwok, Bao-Liang Lu. 106-117 [doi]
• Generation of Alternative Clusterings Using the CAMI ApproachXuan Hong Dang, James Bailey. 118-129 [doi]
• Making k-means Even FasterGreg Hamerly. 130-140 [doi]
• On Mining Statistically Significant Attribute Association InformationPritam Chanda, Jianmei Yang, Aidong Zhang, Murali Ramanathan. 141-152 [doi]
• An Information-Theoretic Approach to Finding Informative Noisy Tiles in Binary DatabasesKleanthis-Nikolaos Kontonasios, Tijl De Bie. 153-164 [doi]
• Mining Top-K Patterns from Binary Datasets in Presence of NoiseClaudio Lucchese, Salvatore Orlando, Raffaele Perego. 165-176 [doi]
• Formal Concept Sampling for Counting and Threshold-Free Local Pattern MiningMario Boley, Thomas Gärtner, Henrik Grosskreutz. 177-188 [doi]
• Alleviating the Sparsity Problem in Collaborative Filtering by Using an Adapted Distance and a Graph-Based MethodBeau Piccart, Jan Struyf, Hendrik Blockeel. 189-198 [doi]
• Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item GraphsQuanquan Gu, Jie Zhou, Chris H. Q. Ding. 199-210 [doi]
• Temporal Collaborative Filtering with Bayesian Probabilistic Tensor FactorizationLiang Xiong, Xi Chen, Tzu-Kuo Huang, Jeff Schneider, Jaime G. Carbonell. 211-222 [doi]
• Residual Bayesian Co-clustering for Matrix ApproximationHanhuai Shan, Arindam Banerjee. 223-234 [doi]
• Two-View Transductive Support Vector MachinesGuangxia Li, Steven C. H. Hoi, Kuiyu Chang. 235-244 [doi]
• Fast Stochastic Frank-Wolfe Algorithms for Nonlinear SVMsHua Ouyang, Alexander Gray. 245-256 [doi]
• Single-Pass Distributed Learning of Multi-class SVMs Using Core-SetsStefano Lodi, Ricardo Ñanculef, Claudio Sartori. 257-268 [doi]
• Nonnegative Principal Component Analysis for Proteomic Tumor ProfilesXiaoxu Han. 269-280 [doi]
• Efficient Nonnegative Matrix Factorization with Random ProjectionsFei Wang, Ping Li. 281-292 [doi]
• Bridging Domains with Words: Opinion Analysis with Matrix Tri-factorizationsTao Li, Vikas Sindhwani, Chris H. Q. Ding, Yi Zhang 0005. 293-302 [doi]
• Exact Passive-Aggressive Algorithm for Multiclass Classification Using Support ClassShin Matsushima, Nobuyuki Shimizu, Kazuhiro Yoshida, Takashi Ninomiya, Hiroshi Nakagawa. 303-314 [doi]
• Robust Mining of Time Intervals with Semi-interval Partial Order PatternsFabian Mörchen, Dmitriy Fradkin. 315-326 [doi]
• Cascading Spatio-temporal Pattern Discovery: A Summary of ResultsPradeep Mohan, Shashi Shekhar, James A. Shine, James P. Rogers. 327-338 [doi]
• Frequentness-Transition Queries for Distinctive Pattern Mining from Time-Segmented DatabasesShin-ichi Minato, Takeaki Uno. 339-349 [doi]
• Consecutive Ones Property and Spectral OrderingNiko Vuokko. 350-360 [doi]
• Naive Bayes Classifier for Positive Unlabeled Learning with UncertaintyJiazhen He, Yang Zhang, Xue Li, Yong Wang. 361-372 [doi]
• On Multidimensional Sharpening of Uncertain DataCharu C. Aggarwal. 373-384 [doi]
• Subspace Clustering for Uncertain DataStephan Günnemann, Hardy Kremer, Thomas Seidl. 385-396 [doi]
• On the Use of Combining Rules in Relational Probability TreesDaan Fierens. 397-408 [doi]
• The Application of Statistical Relational Learning to a Database of Criminal and Terrorist ActivityBrian Delaney, Andrew S. Fast, William M. Campbell, Clifford J. Weinstein, David D. Jensen. 409-417 [doi]
• ContexTour: Contextual Contour Analysis on Dynamic Multi-relational ClusteringYu-Ru Lin, Jimeng Sun, Nan Cao, Shixia Liu. 418-429 [doi]
• Indentifying Multi-instance OutliersOu Wu, Jun Gao, Weiming Hu, Bing Li, Mingliang Zhu. 430-441 [doi]
• Mining Actionable Subspace Clusters in Sequential DataKelvin Sim, Ardian Kristanto Poernomo, Vivekanand Gopalkrishnan. 442-453 [doi]
• GraSS: Graph Structure SummarizationKristen LeFevre, Evimaria Terzi. 454-465 [doi]
• Mining Frequent Graph Sequence Patterns Induced by VerticesAkihiro Inokuchi, Takashi Washio. 466-477 [doi]
• On Clustering Graph StreamsCharu C. Aggarwal, Yuchen Zhao, Philip S. Yu. 478-489 [doi]
• Inferring Probability Distributions of Graph Size and Node Degree from Stochastic Graph GrammarsSourav Mukherjee, Tim Oates. 490-501 [doi]
• p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual AnalyticsJaegul Choo, Chandan K. Reddy, Hanseung Lee, Haesun Park. 502-513 [doi]
• Confidence-Based Feature Acquisition to Minimize Training and Test CostsMarie desJardins, James MacGlashan, Kiri L. Wagstaff. 514-524 [doi]
• Co-selection of Features and Instances for Unsupervised Rare Category AnalysisJingrui He, Jaime G. Carbonell. 525-536 [doi]
• Active Ordering of Interactive Prediction TasksAbhimanyu Lad, Yiming Yang. 537-547 [doi]
• Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and ObservationsU. Kang, Charalampos E. Tsourakakis, Ana Paula Appel, Christos Faloutsos, Jure Leskovec. 548-558 [doi]
• Spectral Analysis of Signed Graphs for Clustering, Prediction and VisualizationJérôme Kunegis, Stephan Schmidt, Andreas Lommatzsch, Jürgen Lerner, Ernesto William De Luca, Sahin Albayrak. 559 [doi]
• Fast Single-Pair SimRank ComputationPei Li, Hongyan Liu, Jeffrey Xu Yu, Jun He, Xiaoyong Du. 571-582 [doi]
• A Heterogeneous Label Propagation Algorithm for Disease Gene DiscoveryTaeHyun Hwang, Rui Kuang. 583-594 [doi]
• Direct Density Ratio Estimation with Dimensionality ReductionMasashi Sugiyama, Satoshi Hara, Paul von Bünau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe. 595-606 [doi]
• The Generalized Dimensionality Reduction ProblemCharu C. Aggarwal. 607-618 [doi]
• Convex Principal Feature SelectionMahdokht Masaeli, Yan Yan, Ying Cui, Glenn Fung, Jennifer G. Dy. 619-628 [doi]
• Generalized and Heuristic-Free Feature Construction for Improved AccuracyWei Fan, ErHeng Zhong, Jing Peng, Olivier Verscheure, Kun Zhang, Jiangtao Ren, Rong Yan, Qiang Yang. 629-640 [doi]
• Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable SystemsAlireza Vahdatpour, Majid Sarrafzadeh. 641-652 [doi]
• An Integrated Framework for Simultaneous Classification and Regression of Time-Series DataZubin Abraham, Pang-Ning Tan. 653-664 [doi]
• Multiresolution Motif Discovery in Time SeriesNuno Castro, Paulo J. Azevedo. 665-676 [doi]
• Time-Series Classification in Many Intrinsic DimensionsMilos Radovanovic, Alexandros Nanopoulos, Mirjana Ivanovic. 677-688 [doi]
• MACH: Fast Randomized Tensor DecompositionsCharalampos E. Tsourakakis. 689-700 [doi]
• Scalable Tensor Factorizations with Missing DataEvrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Morten Mørup. 701-712 [doi]
• On Low-Rank Updates to the Singular Value and Tucker DecompositionsMichael J. O'Hara. 713-719 [doi]
• Towards Finding Valuable TopicsZhen Wen, Ching-Yung Lin. 720-731 [doi]
• Predicting Customer Churn in Mobile Networks through Analysis of Social GroupsYossi Richter, Elad Yom-Tov, Noam Slonim. 732-741 [doi]
• Directed Network Community Detection: A Popularity and Productivity Link ModelTianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, Rong Jin. 742-753 [doi]
• HCDF: A Hybrid Community Discovery FrameworkKeith Henderson, Tina Eliassi-Rad, Spiros Papadimitriou, Christos Faloutsos. 754-765 [doi]
• A Robust Decision Tree Algorithm for Imbalanced Data SetsWei Liu, Sanjay Chawla, David A. Cieslak, Nitesh V. Chawla. 766-777 [doi]
• Multi-label Classification without the Multi-label CostXiatian Zhang, Quan Yuan, Shiwan Zhao, Wei Fan, Wentao Zheng, Zhong Wang. 778-789 [doi]
• Fast and Accurate Gene Prediction by Decision Tree ClassificationRong She, Jeffrey Shih-Chieh Chu, Ke Wang, Nansheng Chen. 790-801 [doi]
• On Classification of High-Cardinality Data StreamsCharu C. Aggarwal, Philip S. Yu. 802-813 [doi]
• Predictive Modeling with Heterogeneous SourcesXiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip S. Yu. 814-825 [doi]
• A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying AccuracyPinar Donmez, Jaime G. Carbonell, Jeff Schneider. 826-837 [doi]
• An Integrative Approach to Indentifying Biologically Relevant GenesZheng Zhao, Jiangxin Wang, Shashvata Sharma, Nitin Agarwal, Huan Liu, Yung Chang. 838-849 [doi]
• A Compression Based Distance Measure for TextureBilson J. L. Campana, Eamonn J. Keogh. 850-861 [doi]
• Fast Implementation of ℓ::1::Regularized Learning Algorithms Using Gradient Descent MethodsYunpeng Cai, Yijun Sun, Yubo Cheng, Jian Li, Steve Goodison. 862-871 [doi]
• Learning Compressible ModelsYi Zhang 0010, Jeff Schneider, Artur Dubrawski. 872-881 [doi]
• A Permutation Approach to ValidationMalik Magdon-Ismail, Konstantin Mertsalov. 882-983 [doi]
• Adaptive Informative Sampling for Active LearningZhenyu Lu, Xindong Wu, Josh Bongard. 894-905 [doi]
• Evaluating Query Result Significance in Databases via RandomizationsMarkus Ojala, Gemma C. Garriga, Aristides Gionis, Heikki Mannila. 906-917 [doi]
• Cross-Selling Optimization for Customized PromotionNan Li, Yinghui Yang, Xifeng Yan. 918-929 [doi]
• A Generalized Tree Matching Algorithm Considering Nested Lists for Web Data ExtractionNitin Jindal, Bing Liu. 930-941 [doi]
• Mining Maximally Banded Matrices in Binary DataFaris Alqadah, Raj Bhatnagar, Anil G. Jegga. 942-953 [doi]