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9th ICDM 2009: Miami, Florida, USA
- Wei Wang, Hillol Kargupta, Sanjay Ranka, Philip S. Yu, Xindong Wu:
ICDM 2009, The Ninth IEEE International Conference on Data Mining, Miami, Florida, USA, 6-9 December 2009. IEEE Computer Society 2009, ISBN 978-0-7695-3895-2
Regular Papers
- Deepak Agarwal, Bee-Chung Chen, Pradheep Elango:
Explore/Exploit Schemes for Web Content Optimization. 1-10 - Nitin Agarwal, Huan Liu, Shankara B. Subramanya, John J. Salerno, Philip S. Yu:
Connecting Sparsely Distributed Similar Bloggers. 11-20 - Timo Aho, Bernard Zenko, Saso Dzeroski
:
Rule Ensembles for Multi-target Regression. 21-30 - Kanishka Bhaduri, Ashok N. Srivastava:
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks. 31-40 - Indrajit Bhattacharya, Shantanu Godbole, Sachindra Joshi, Ashish Verma:
Cross-Guided Clustering: Transfer of Relevant Supervision across Domains for Improved Clustering. 41-50 - Forrest Briggs, Raviv Raich, Xiaoli Z. Fern:
Audio Classification of Bird Species: A Statistical Manifold Approach. 51-60 - Andrea Campagna, Rasmus Pagh:
Finding Associations and Computing Similarity via Biased Pair Sampling. 61-70 - Guangyun Chen, Gang Chen, Jianwen Zhang, Shuo Chen, Changshui Zhang:
Beyond Banditron: A Conservative and Efficient Reduction for Online Multiclass Prediction with Bandit Setting Model. 71-80 - Wei Cheng, Xiaoming Jin, Jian-Tao Sun:
Probabilistic Similarity Query on Dimension Incomplete Data. 81-90 - Young-Rae Cho, Lei Shi, Aidong Zhang:
flowNet: Flow-Based Approach for Efficient Analysis of Complex Biological Networks. 91-100 - Santanu Das, Kanishka Bhaduri, Nikunj C. Oza, Ashok N. Srivastava:
?-Anomica: A Fast Support Vector Based Novelty Detection Technique. 101-109 - Sandipan Dey, Vandana Pursnani Janeja, Aryya Gangopadhyay:
Temporal Neighborhood Discovery Using Markov Models. 110-119 - Jun Du, Charles X. Ling:
Active Learning with Generalized Queries. 120-128 - Avinava Dubey, Jinesh Machchhar, Chiranjib Bhattacharyya, Soumen Chakrabarti:
Conditional Models for Non-smooth Ranking Loss Functions. 129-138 - Andrew Foss, Osmar R. Zaïane, Sandra Zilles:
Unsupervised Class Separation of Multivariate Data through Cumulative Variance-Based Ranking. 139-148 - Qiang Fu, Jian-Guang Lou, Yi Wang, Jiang Li:
Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis. 149-158 - Quanquan Gu, Jie Zhou:
Learning the Shared Subspace for Multi-task Clustering and Transductive Transfer Classification. 159-168 - Michael Hay, Chao Li
Accurate Estimation of the Degree Distribution of Private Networks. 169-178 - Shohei Hido, Hisashi Kashima:
A Linear-Time Graph Kernel. 179-188 - Kaizhu Huang
GSML: A Unified Framework for Sparse Metric Learning. 189-198 - Lili Jiang, Jianyong Wang, Ning An, Shengyuan Wang, Jian Zhan, Lian Li:
GRAPE: A Graph-Based Framework for Disambiguating People Appearances in Web Search. 199-208 - Ruoming Jin, Yuri Breitbart, Rong Li:
A Tree-Based Framework for Difference Summarization. 209-218 - Toshihiro Kamishima, Masahiro Hamasaki
TrBagg: A Simple Transfer Learning Method and its Application to Personalization in Collaborative Tagging. 219-228 - U Kang, Charalampos E. Tsourakakis
PEGASUS: A Peta-Scale Graph Mining System. 229-238 - Yiping Ke
Efficient Discovery of Frequent Correlated Subgraph Pairs. 239-248 - Philipp Kranen, Ira Assent, Corinna Baldauf, Thomas Seidl
Self-Adaptive Anytime Stream Clustering. 249-258 - Suzan Köknar-Tezel, Longin Jan Latecki
Improving SVM Classification on Imbalanced Data Sets in Distance Spaces. 259-267 - Liyun Li, Umut Topkara, Baris Coskun, Nasir D. Memon
CoCoST: A Computational Cost Efficient Classifier. 268-277 - Nan Li, Yang Yu, Zhi-Hua Zhou:
Semi-naive Exploitation of One-Dependence Estimators. 278-287 - Kun Liu, Evimaria Terzi:
A Framework for Computing the Privacy Scores of Users in Online Social Networks. 288-297 - Li-Ping Liu
Least Square Incremental Linear Discriminant Analysis. 298-306 - Xiaobai Liu, Shuicheng Yan, Jun Yan, Hai Jin:
Unified Solution to Nonnegative Data Factorization Problems. 307-316 - Haibing Lu, Jaideep Vaidya, Vijayalakshmi Atluri
Extended Boolean Matrix Decomposition. 317-326 - Zhenyu Lu, Xindong Wu, Josh C. Bongard:
Active Learning with Adaptive Heterogeneous Ensembles. 327-336 - Dijun Luo, Chris H. Q. Ding, Heng Huang, Tao Li:
Non-negative Laplacian Embedding. 337-346 - Yasuko Matsubara, Yasushi Sakurai, Masatoshi Yoshikawa:
Scalable Algorithms for Distribution Search. 347-356 - Martin Renqiang Min
A Deep Non-linear Feature Mapping for Large-Margin kNN Classification. 357-366 - Abdullah Mueen, Eamonn J. Keogh, Nima Bigdely Shamlo:
Finding Time Series Motifs in Disk-Resident Data. 367-376 - Emmanuel Müller
Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data. 377-386 - Marion Neumann, Kristian Kersting, Zhao Xu, Daniel Schulz:
Stacked Gaussian Process Learning. 387-396 - Jennifer Neville, Brian Gallagher
Evaluating Statistical Tests for Within-Network Classifiers of Relational Data. 397-406 - Debprakash Patnaik, Srivatsan Laxman, Naren Ramakrishnan
Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis. 407-416 - Nikos Pelekis, Ioannis Kopanakis, Evangelos E. Kotsifakos, Elias Frentzos, Yannis Theodoridis
Clustering Trajectories of Moving Objects in an Uncertain World. 417-427 - Yanjun Qi, Pavel P. Kuksa
Semi-Supervised Sequence Labeling with Self-Learned Features. 428-437 - Matthew W. Robards, Peter Sunehag:
Semi-Markov kMeans Clustering and Activity Recognition from Body-Worn Sensors. 438-446 - Ning Ruan, Ruoming Jin, Victor E. Lee, Kun Huang:
A Sparsification Approach for Temporal Graphical Model Decomposition. 447-456 - Ted Sandler, Lyle H. Ungar, Koby Crammer:
Resolving Identity Uncertainty with Learned Random Walks. 457-465 - Hanhuai Shan, Arindam Banerjee, Nikunj C. Oza:
Discriminative Mixed-Membership Models. 466-475 - Kostyantyn M. Shchekotykhin
Argumentation Based Constraint Acquisition. 476-482 - Yuan Shi, Zhen-zhong Lan, Wei Liu, Wei Bi:
Extending Semi-supervised Learning Methods for Inductive Transfer Learning. 483-492 - Yizhou Sun, Jiawei Han, Jing Gao, Yintao Yu:
iTopicModel: Information Network-Integrated Topic Modeling. 493-502 - Lei Tang, Xufei Wang, Huan Liu:
Uncoverning Groups via Heterogeneous Interaction Analysis. 503-512 - Nikolaj Tatti
Significance of Episodes Based on Minimal Windows. 513-522 - Christian Thurau, Kristian Kersting, Christian Bauckhage
Convex Non-negative Matrix Factorization in the Wild. 523-532 - Deepak S. Turaga, Michail Vlachos
On K-Means Cluster Preservation Using Quantization Schemes. 533-542 - Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal Slovin:
Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye Imaging. 543-551 - Fan Wang, Gagan Agrawal:
Extracting Output Metadata from Scientific Deep Web Data Sources. 552-561 - Fei Wang, Xin Wang, Tao Li:
Semi-supervised Multi-task Learning with Task Regularizations. 562-568 - Zhuang Wang, Slobodan Vucetic:
Fast Online Training of Ramp Loss Support Vector Machines. 569-577 - Yun Xiong, Yangyong Zhu:
Mining Peculiarity Groups in Day-by-Day Behavioral Datasets. 578-587 - Wei Xu, Ling Huang, Armando Fox, David A. Patterson, Michael I. Jordan
Online System Problem Detection by Mining Patterns of Console Logs. 588-597 - Jun Yan, Ning Liu, Shuicheng Yan, Qiang Yang, Zheng Chen:
Synthesizing Novel Dimension Reduction Algorithms in Matrix Trace Oriented Optimization Framework. 598-606 - Jian Yang, Ning Zhong, Yiyu Yao, Jue Wang:
Peculiarity Analysis for Classifications. 607-616 - Xiao Yu, Lu An Tang, Jiawei Han:
Filtering and Refinement: A Two-Stage Approach for Efficient and Effective Anomaly Detection. 617-626 - Peng Zhang, Xingquan Zhu
Mining Data Streams with Labeled and Unlabeled Training Examples. 627-636 - Bin Zhao, James Tin-Yau Kwok, Changshui Zhang:
Maximum Margin Clustering with Multivariate Loss Function. 637-646 - Wenjun Zhou
Efficient Discovery of Confounders in Large Data Sets. 647-656 - Xingquan Zhu
Vague One-Class Learning for Data Streams. 657-666 - Zeyuan Allen Zhu, Weizhu Chen, Chenguang Zhu, Gang Wang, Haixun Wang, Zheng Chen:
Inverse Time Dependency in Convex Regularized Learning. 667-676 - Zeyuan Allen Zhu, Weizhu Chen, Gang Wang, Chenguang Zhu, Zheng Chen:
P-packSVM: Parallel Primal grAdient desCent Kernel SVM. 677-686
Short Papers
- Anushka Anand, Leland Wilkinson, Dang Tuan Nhon
An L-infinity Norm Visual Classifier. 687-692 - Fabrizio Angiulli
Outlier Detection Using Inductive Logic Programming. 693-698 - Shenghua Bao, Shengliang Xu, Li Zhang, Rong Yan, Zhong Su, Dingyi Han, Yong Yu:
Joint Emotion-Topic Modeling for Social Affective Text Mining. 699-704 - Mohsen Bayati, Margot Gerritsen, David F. Gleich, Amin Saberi, Ying Wang:
Algorithms for Large, Sparse Network Alignment Problems. 705-710 - Wei Bian, Dacheng Tao:
Dirichlet Mixture Allocation for Multiclass Document Collections Modeling. 711-715 - Peter Boyen, Frank Neven
SLIDER: Mining Correlated Motifs in Protein-Protein Interaction Networks. 716-721 - Budhaditya Saha, Duc-Son Pham
Effective Anomaly Detection in Sensor Networks Data Streams. 722-727 - Markus Bundschus, Shipeng Yu, Volker Tresp, Achim Rettinger, Mathäus Dejori, Hans-Peter Kriegel:
Hierarchical Bayesian Models for Collaborative Tagging Systems. 728-733 - Yuanzhe Cai, Gao Cong
Efficient Algorithm for Computing Link-Based Similarity in Real World Networks. 734-739 - Rhonda Chaytor, Ke Wang, Patricia L. Brantingham:
Fine-Grain Perturbation for Privacy Preserving Data Publishing. 740-745 - Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbonell:
Accelerated Gradient Method for Multi-task Sparse Learning Problem. 746-751 - Guillaume Cleuziou, Matthieu Exbrayat, Lionel Martin, Jacques-Henri Sublemontier:
CoFKM: A Centralized Method for Multiple-View Clustering. 752-757 - Debasish Das, Zoran Obradovic, Slobodan Vucetic:
Active Selection of Sensor Sites in Remote Sensing Applications. 758-763 - Stijn De Saeger, Kentaro Torisawa, Jun'ichi Kazama, Kow Kuroda, Masaki Murata:
Large Scale Relation Acquisition Using Class Dependent Patterns. 764-769 - Lian Duan
Finding Maximal Fully-Correlated Itemsets in Large Databases. 770-775 - Qiang Fu, Arindam Banerjee:
Bayesian Overlapping Subspace Clustering. 776-781 - Edgar González
Unsupervised Relation Extraction by Massive Clustering. 782-787 - Mihajlo Grbovic, Slobodan Vucetic:
Regression Learning Vector Quantization. 788-793 - Francesco Gullo
Projective Clustering Ensembles. 794-799 - Zhen Guo, Zhongfei Zhang, Shenghuo Zhu, Yun Chi, Yihong Gong:
Knowledge Discovery from Citation Networks. 800-805 - Antonella Guzzo
An Effective Approach to Inverse Frequent Set Mining. 806-811 - Samson Hauguel, ChengXiang Zhai, Jiawei Han:
Parallel PathFinder Algorithms for Mining Structures from Graphs. 812-817 - Anne Hendrikse, Luuk J. Spreeuwers
A Bootstrap Approach to Eigenvalue Correction. 818-823 - Jing Jiang:
Modeling Syntactic Structures of Topics with a Nested HMM-LDA. 824-829 - Deepti Joshi
Redistricting Using Heuristic-Based Polygonal Clustering. 830-835 - Jussi Kujala, Timo Aho, Tapio Elomaa
A Walk from 2-Norm SVM to 1-Norm SVM. 836-841 - Levi Lelis, Jörg Sander
Semi-supervised Density-Based Clustering. 842-847 - Dongyu Lin, Dean P. Foster:
VIF Regression: A Fast Regression Algorithm for Large Data. 848-853 - Bin Liu, Shuo Chen, Mingjie Qian, Changshui Zhang:
Sparse Norm-Regularized Reconstructive Coefficients Learning. 854-859 - Qingbao Liu, Guozhu Dong:
A Contrast Pattern Based Clustering Quality Index for Categorical Data. 860-865 - Chong Long, Minlie Huang, Xiaoyan Zhu, Ming Li:
Multi-document Summarization by Information Distance. 866-871 - Ian M. Molloy, Ninghui Li, Tiancheng Li:
On the (In)Security and (Im)Practicality of Outsourcing Precise Association Rule Mining. 872-877 - Michinari Momma, Satoshi Morinaga, Daisuke Komura
Promoting Total Efficiency in Text Clustering via Iterative and Interactive Metric Learning. 878-883 - Fabrice Muhlenbach, Stéphane Lallich:
A New Clustering Algorithm Based on Regions of Influence with Self-Detection of the Best Number of Clusters. 884-889 - Sumit Negi, Sachindra Joshi, Anup Chalamalla, L. Venkata Subramaniam:
Automatically Extracting Dialog Models from Conversation Transcripts. 890-895 - Viet-An Nguyen, Ee-Peng Lim
To Trust or Not to Trust? Predicting Online Trusts Using Trust Antecedent Framework. 896-901 - Miho Ohsaki, Masakazu Nakase, Shigeru Katagiri:
Analysis of Subsequence Time-Series Clustering Based on Moving Average. 902-907 - Markus Ojala, Gemma C. Garriga:
Permutation Tests for Studying Classifier Performance. 908-913 - Claudia Plant
Interaction-Based Clustering of Multivariate Time Series. 914-919 - Ardian Kristanto Poernomo, Vivekanand Gopalkrishnan:
PUB: A Class Description Technique Based on Partial Coverage of Subspace. 920-925 - Ali Mustafa Qamar
Online and Batch Learning of Generalized Cosine Similarities. 926-931 - Jiangtao Qiu, Zhangxi Lin, Changjie Tang, Shaojie Qiao:
Discovering Organizational Structure in Dynamic Social Network. 932-937 - Novi Quadrianto
Kernel Conditional Quantile Estimation via Reduction Revisited. 938-943 - Jiangtao Ren
Naive Bayes Classification of Uncertain Data. 944-949 - Céline Robardet:
Constraint-Based Pattern Mining in Dynamic Graphs. 950-955 - Frank Rosenthal, Ulrike Fischer, Peter Benjamin Volk, Wolfgang Lehner:
Global Slope Change Synopses for Measurement Maps. 956-961 - Dan Roth, Yuancheng Tu:
Aspect Guided Text Categorization with Unobserved Labels. 962-967 - Jianhua Ruan
A Fully Automated Method for Discovering Community Structures in High Dimensional Data. 968-973 - Guy Shani
Hierarchical Probabilistic Segmentation of Discrete Events. 974-979 - Zhiyong Shen, Ping Luo
Topic Modeling for Sequences of Temporal Activities. 980-985 - Adrian Silvescu, Cornelia Caragea
Combining Super-Structuring and Abstraction on Sequence Classification. 986-991 - Carlos Nascimento Silla Jr.
A Global-Model Naive Bayes Approach to the Hierarchical Prediction of Protein Functions. 992-997 - Shamsher Singh, K. K. Biswas:
Spatio-temporal Energy Based Gait Recognition. 998-1003 - Aaron M. Smalter, Jun Huan, Gerald H. Lushington
Feature Selection in the Tensor Product Feature Space. 1004-1009 - Jie Tang, Jing Zhang, Jeffrey Xu Yu, Zi Yang, Keke Cai, Rui Ma, Li Zhang, Zhong Su:
Topic Distributions over Links on Web. 1010-1015 - Wei Tang, Zhengdong Lu, Inderjit S. Dhillon:
Clustering with Multiple Graphs. 1016-1021 - Fei Wang, Jimeng Sun
Two Heads Better Than One: Metric+Active Learning and its Applications for IT Service Classification. 1022-1027 - Fei Wang, Xin Wang, Tao Li:
Maximum Margin Clustering on Data Manifolds. 1028-1033 - Xiang Wang, Ian Davidson:
Discovering Contexts and Contextual Outliers Using Random Walks in Graphs. 1034-1039 - Yang Wang, Mingyuan An:
Effective Criterion Functions for Efficient Agglomerative Clustering on Very Large Networks. 1040-1045 - Jinlong Wu:
Binomial Matrix Factorization for Discrete Collaborative Filtering. 1046-1051 - Jing Xia, Doina Caragea
Bi-relational Network Analysis Using a Fast Random Walk with Restart. 1052-1057 - Tengke Xiong, Shengrui Wang, André Mayers
A New MCA-Based Divisive Hierarchical Algorithm for Clustering Categorical Data. 1058-1063 - Fei Yan, Josef Kittler, Krystian Mikolajczyk, Muhammad Atif Tahir:
Non-sparse Multiple Kernel Learning for Fisher Discriminant Analysis. 1064-1069 - Jia Zeng, William K. Cheung
Multirelational Topic Models. 1070-1075 - Yifeng Zeng, Yanping Xiang, Jorge Cordero Hernandez, Yujian Lin:
Learning Local Components to Understand Large Bayesian Networks. 1076-1081 - Shijie Zhang, Jiong Yang, Shirong Li:
RING: An Integrated Method for Frequent Representative Subgraph Mining. 1082-1087 - Gang Zhao, Yun Xiong, Longbing Cao
A Cost-Effective LSH Filter for Fast Pairwise Mining. 1088-1093 - Xiaofei Zhou
A New Kernel-Based Classification Algorithm. 1094-1099
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