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Proceedings of the Tenth SIAM International Conference on Data Mining
Edited by Srinivasan Parthasarathy, Bing Liu, Bart Goethals, Jian Pei, and Chandrika Kamath Symposium held in Columbus, OH, April 29-May 1, 2010. 1 Text Categorization Using Word Similarities Based on Higher Order Co-occurrences Syed Fawad Hussain and Gilles Bisson 13 Exploiting Associations between Word Clusters and Document Classes for Cross-domain Text Categorization Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, and Zhongzhi Shi 25 Semi-Supervised Bio-Named Entity Recognition with Word-Codebook Learning Pavel P. Kuksa and Yanjun Qi 37 Improving Accessibility of Transaction-centric Web Objects Muhammad Asiful Islam, Faisal Ahmed, Yevgen Borodin, Jalal Mahmud, and I. V. Ramakrishnan 49 Reconstructing Randomized Social Networks Niko Vuokko and Evimaria Terzi 60 Reconstruction from Randomized Graph via Low Rank Approximation Leting Wu, Xiaowei Ying, and Xintao Wu 72 Do You Trust to Get Trust? A Study of Trust Reciprocity Behaviors and Reciprocal Trust Prediction Viet-An Nguyen, Ee-Peng Lim, Hwee-Hoon Tan, Jing Jiang, and Aixin Sun 84 Publishing Skewed Sensitive Microdata Yabo Xu, Ke Wang, Ada Wai-Chee Fu, and Raymond Chi-Wing Wong 94 A SAT-based Framework for Efficient Constrained Clustering Ian Davidson, S. S. Ravi, and Leonid Shamis 106 Spectral and Semidefinite Relaxation of the CLUHSIC Algorithm Wen-Yun Yang, James T. Kwok, and Bao-Liang Lu 118 Generation of Alternative Clusterings Using the CAMI Approach Xuan Hong Dang and James Bailey 130 Making k-means Even Faster Greg Hamerly 141 On Mining Statistically Significant Attribute Association Information Pritam Chanda, Jianmei Yang, Aidong Zhang, and Murali Ramanathan 153 An Information-Theoretic Approach to Finding Informative Noisy Tiles in Binary Databases Kleanthis-Nikolaos Kontonasios and Tijl De Bie 165 Mining Top-K Patterns from Binary Datasets in Presence of Noise Claudio Lucchese, Salvatore Orlando, and Raffaele Perego 177 Formal Concept Sampling for Counting and Threshold-Free Local Pattern Mining Mario Boley, Thomas Gärtner, and Henrik Grosskreutz 189 Alleviating the Sparsity Problems in Collaborative Filtering by Using an Adapted Distance and a Graph-based Method Beau Piccart, Jan Struyf, and Henrik Blockeel 199 Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs Quanquan Gu, Jie Zhou, and Chris Ding 211 Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization Liang Xiong, Xi Chen, Tzu-Kuo Huang, Jeff Schneider, and Jaime G. Carbonell 223 Residual Bayesian Co-clustering for Matrix Approximation Hanhuai Shan and Arindam Banerjee 235 Two-view Transductive Support Vector Machines Guangxia Li, Steven C. H. Hoi, and Kuiyu Chang 245 Fast Stochastic Frank-Wolfe Algorithms for Nonlinear SVMs Hua Ouyang and Alexander Gray 257 Single-Pass Distributed Learning of Multi-Class SVMs Using Core-Sets Stefano Lodi, Ricardo Ñanculef, and Claudo Sartori 269 Nonnegative Principal Component Analysis for Proteomic Tumor Profiles Xiaoxu Han 281 Efficient Nonnegative Matrix Factorization with Random Projections Fei Wang and Ping Li 293 Bridging Domains with Words: Opinion Analysis with Matrix Tri-factorizations Tao Li, Vikas Sindhwani, Chris Ding, and Yi Zhang 303 Exact Passive-Aggressive Algorithm for Multiclass Classification Using Support Class Shin Matsushima, Nobuyuki Shimizu, Kazuhiro Yoshida, Takashi Ninomiya, and Hiroshi Nakagawa 315 Robust Mining of Time Intervals with Semi-Interval Partial Order Patterns Fabian Moerchen and Dmitriy Fradkin 327 Cascading Spatio-Temporal Pattern Discovery: A Summary of Results Pradeep Mohan, Shashi Shekhar, James A. Shine, and James P. Rogers 339 Frequentness-Transition Queries for Distinctive Pattern Mining from Time-Segmented Databases Shin-ichi Minato and Takeaki Uno 350 Consecutive Ones Property and Spectral Ordering Niko Vuokko 361 Naïve Bayes Classifier for Positive Unlabeled Learning with Uncertainty Jiazhen He, Yang Zhang, Xue Li, and Yong Wang 373 On Multidimensional Sharpening of Uncertain Data Charu C. Aggarwal 385 Subspace Clustering for Uncertain Data Stephan Günnemann, Hardy Kremer, and Thomas Seidl 397 On the Use of Combining Rules in Relational Probability Trees Daan Fierens 409 The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity B. Delaney, A. Fast, W. Campbell, C. Weinstein, and D. Jensen 418 ContexTour: Contextual Contour Analysis on Dynamic Multi-Relational Clustering Yu-Ru Lin, Jimeng Sun, Nan Cao, and Shixia Liu 430 Indentifying Multi-Instance Outliers Ou Wu, Jun Gao, Weiming Hu, Bing Li, and Mingliang Zhu 442 Mining Actionable Subspace Clusters in Sequential Data Kelvin Sim, Ardian Kristanto Poernomo, and Vivekanand Gopalkrishnan 454 GraSS: Graph Structure Summarization Kristen LeFevre and Evimaria Terzi 466 Mining Frequent Graph Sequence Patterns Induced by Vertices Akihiro Inokuchi and Takashi Washio 478 On Clustering Graph Streams Charu C. Aggarwal, Yuchen Zhao, and Philip S. Yu 490 Inferring Probability Distributions of Graph Size and Node Degree from Stochastic Graph Grammars Sourav Mukherjee and Tim Oates 502 p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual Analytics Jaegul Choo, Chandan K. Reddy, Hanseung Lee, and Haesun Park 514 Confidence-Based Feature Acquisition to Minimize Training and Test Costs Marie desJardins, James MacGlashan, and Kiri L. Wagstaff 525 Co-Selection of Features and Instances for Unsupervised Rare Category Analysis Jingrui He and Jamie Carbonell 537 Active Ordering of Interactive Prediction Tasks Abhimanyu Lad and Yiming Yang 548 Radius Plots for Mining Tera-Byte Scale Graphs: Algorithms, Patterns, and Observations U Kang, Charalampos E. Tsourakakis, Ana Paula Appel, Christos Faloutsos, and Jure Leskovec 559 Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization Jérôme Kunegis, Stephan Schmidt, Andreas Lommatzsch, Jürgen Lerner, Ernesto W. De Luca, and Sahin Albayrak 571 Fast Single-Pair SimRank Computation Pei Li, Hongyan Liu, Jeffrey Xu Yu, Jun He, and Xiaoyong Du 583 A Heterogeneous Label Propagation Algorithm for Disease Gene Discovery TaeHyun Hwang and Rui Kuang 595 Direct Density Ratio Estimation with Dimensionality Reduction Masashi Sugiyama, Satoshi Hara, Paul von Bünau, Taiji Suzuki, Takafumi Kanamori, and Motoaki Kawanabe 607 The Generalized Dimensionality Reduction Problem Charu C. Aggarwal 619 Convex Principal Feature Selection Mahdokht Masaeli, Yan Yan, Ying Cui, Glenn Fung, Jennifer G. Dy 629 Generalized and Heuristic-Free Feature Construction for Improved Accuracy Wei Fan, Erheng Zhong, Jing Peng, Olivier Verscheure, Kun Zhang, Jiangtao Ren, Rong Yan, and Qiang Yang 641 Unsupervised Discovery of Abnormal Activity Occurrences in Multi-Dimensional Time Series, with Applications in Wearable Systems Alireza Vahdatpour and Majid Sarrafzadeh 653 An Integrated Framework for Simultaneous Classification and Regression of Time-Series Data Zubin Abraham and Pang-Ning Tan 665 Multiresolution Motif Discovery in Time Series Nuno Castro and Paulo Azevedo 677 Time-Series Classification in Many Intrinsic Dimensions Miloš Radovanović, Alexandros Nanopoulos, Mirjana Ivanović 689 MACH: Fast Randomized Tensor Decompositions Charalampos E. Tsourakakis 701 Scalable Tensor Factorizations with Missing Data Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Morten Mørup 713 On Low-Rank Updates to the Singular Value and Tucker Decompositions Michael J. O’Hara 720 Towards Finding Valuable Topics Zhen Wen and Ching-Yung Lin 732 Predicting Customer Churn in Mobile Networks Through Analysis of Social Groups Yossi Richter, Elad Yom-Tov, and Noam Slonim 742 Directed Network Community Detection: A Popularity and Productivity Link Model Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, and Rong Jin 754 HCDF: A Hybrid Community Discovery Framework Keith Henderson, Tina Eliassi-Rad, Spiros Papadimitriou, and Christos Faloutsos 766 A Robust Decision Tree Algorithm for Imbalanced Data Sets Wei Liu, Sanjay Chawla, David A. Cieslak, and Nitesh V. Chawla 778 Multi-Label Classification without the Multi-Label Cost Xiatian Zhang, Quan Yuan, Shiwan Zhao, Wei Fan, Wentao Zheng, and Zhong Wang 790 Fast and Accurate Gene Prediction by Decision Tree Classification Rong She, Jeffrey Shih-Chieh Chu, Ke Wang, and Nansheng Chen 802 On Classification of High-Cardinality Data Streams Charu C. Aggarwal and Philip S. Yu 814 Predictive Modeling with Heterogeneous Sources Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, and Philip S. Yu 826 A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy Pinar Donmez, Jaime Carbonell, and Jeff Schneider 838 An Integrative Approach to Indentifying Biologically Relevant Genes Zheng Zhao, Jiangxin Wang, Shashvata Sharma, Nitin Agarwal, Huan Lou, and Yung Chang 850 A Compression Based Distance Measure for Texture Bilson J. L. Campana and Eamonn J. Keogh 862 Fast Implementation of ℓ1 Regularized Learning Algorithms Using Gradient Descent Methods Yunpeng Cai, Yijun Sun, Yubo Cheng, Jian Li, and Steve Goodison 872 Learning Compressible Models Yi Zhang, Jeff Schneider, and Artur Dubrawski 882 A Permutation Approach to Validation Malik Magdon-Ismail and Konstantin Mertsalov 894 Adaptive Informative Sampling for Active Learning Zhenyu Lu, Xindong Wu, and Josh Bongard 906 Evaluating Query Result Significance in Databases via Randomizations Markus Ojala, Gemma C. Garriga, Aristides Gionis, and Heikki Mannila 918 Cross-Selling Optimization for Customized Promotion Nan Li, Yinghui Yang, and Xifeng Yan 930 A Generalized Tree Matching Algorithm Considering Nested Lists for Web Data Extraction Nitin Jindal and Bing Liu 942 Mining Maximally Banded Matrices in Binary Data Faris Alqadah, Raj Bhatnagar, Anil Jegga 2010 / 953 pages / CD / ISBN: 978-0-898717-03-7 / List Price $169 / Member Price $118.30 / Order Code PR 136
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Edited by Srinivasan Parthasarathy, Bing Liu, Bart Goethals, Jian Pei, and Chandrika Kamath