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5th ICDM 2005: Houston, Texas, USA
- Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 27-30 November 2005, Houston, Texas, USA. IEEE Computer Society 2005, ISBN 0-7695-2278-5
Introduction
- Welcome Message from the Conference Chairs.
- Welcome to ICDM 2005.
- Conference Organization.
- Steering Committee.
- Program Committee.
- Non-PC Reviewers.
- Invited Talks.
- Tutorials.
- Workshops.
- Panel Session.
Regular Papers
- Alan S. Abrahams
, Adrian Becker, Daniel Fleder, Ian C. MacMillan:
Handling Generalized Cost Functions in the Partitioning Optimization Problem through Sequential Binary Programming. 3-9 - Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger:
Online Hierarchical Clustering in a Data Warehouse Environment. 10-17 - Manu Aery, Sharma Chakravarthy:
eMailSift: Email Classification Based on Structure and Content. 18-25 - Deepak K. Agarwal:
An Empirical Bayes Approach to Detect Anomalies in Dynamic Multidimensional Arrays. 26-33 - Costin Barbu, Raja Tanveer Iqbal, Jing Peng:
Classifier Fusion Using Shared Sampling Distribution for Boosting. 34-41 - Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, David D. Lewis, Abdur Chowdhury, Aleksander Kolcz:
Improving Automatic Query Classification via Semi-Supervised Learning. 42-49 - Arnab Bhattacharya, Vebjorn Ljosa, Jia-Yu Pan, Mark R. Verardo, Hyung-Jeong Yang, Christos Faloutsos
ViVo: Visual Vocabulary Construction for Mining Biomedical Images. 50-57 - Mikhail Bilenko, Sugato Basu, Mehran Sahami:
Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping. 58-65 - Julien Blanchard, Fabrice Guillet
Using Information-Theoretic Measures to Assess Association Rule Interestingness. 66-73 - Karsten M. Borgwardt
Shortest-Path Kernels on Graphs. 74-81 - Huiping Cao, Nikos Mamoulis, David W. Cheung:
Mining Frequent Spatio-Temporal Sequential Patterns. 82-89 - Philip K. Chan
Modeling Multiple Time Series for Anomaly Detection. 90-97 - Varun Chandola, Vipin Kumar:
Summarization - Compressing Data into an Informative Representation. 98-105 - Hung-Leng Chen, Kun-Ta Chuang, Ming-Syan Chen
Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values. 106-113 - Jason R. Chen:
Making Subsequence Time Series Clustering Meaningful. 114-121 - Anne Denton:
Kernel-Density-Based Clustering of Time Series Subsequences Using a Continuous Random-Walk Noise Model. 122-129 - Magdalini Eirinaki
Usage-Based PageRank for Web Personalization. 130-137 - Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagarmid:
WARP: Time Warping for Periodicity Detection. 138-145 - Mohammad El-Hajj, Osmar R. Zaïane, Paul Nalos:
Bifold Constraint-Based Mining by Simultaneous Monotone and Anti-Monotone Checking. 146-153 - Wei Fan, Ed Greengrass, Joe McCloskey, Philip S. Yu, Kevin Drummey:
Effective Estimation of Posterior Probabilities: Explaining the Accuracy of Randomized Decision Tree Approaches. 154-161 - Frédéric Flouvat, Fabien De Marchi, Jean-Marc Petit:
A Thorough Experimental Study of Datasets for Frequent Itemsets. 162-169 - Shohei Hido, Hiroyuki Kawano:
AMIOT: Induced Ordered Tree Mining in Tree-Structured Databases. 170-177 - Yi Huang, Kai Yu, Matthias Schubert, Shipeng Yu, Volker Tresp, Hans-Peter Kriegel:
Hierarchy-Regularized Latent Semantic Indexing. 178-185 - Koji Iwanuma, Ryuichi Ishihara, Yo Takano, Hidetomo Nabeshima:
Extracting Frequent Subsequences from a Single Long Data Sequence: A Novel Anti-Monotonic Measure and a Simple On-Line Algorithm. 186-193 - Xiaonan Ji, James Bailey, Guozhu Dong:
Mining Minimal Distinguishing Subsequence Patterns with Gap Constraints. 194-201 - Liangxiao Jiang
Learning Instance Greedily Cloning Naive Bayes for Ranking. 202-209 - Ruoming Jin, Gagan Agrawal:
An Algorithm for In-Core Frequent Itemset Mining on Streaming Data. 210-217 - Alexandros Kalousis, Julien Prados, Melanie Hilario:
Stability of Feature Selection Algorithms. 218-225 - Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu:
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence. 226-233 - Effrosini Kokiopoulou, Yousef Saad
Orthogonal Neighborhood Preserving Projections. 234-241 - Tamara G. Kolda
Higher-Order Web Link Analysis Using Multilinear Algebra. 242-249 - Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Sebastian H. R. Wurst:
A Generic Framework for Efficient Subspace Clustering of High-Dimensional Data. 250-257 - Hans-Peter Kriegel, Peer Kröger, Alexey Pryakhin, Matthias Schubert:
Effective and Efficient Distributed Model-Based Clustering. 258-265 - Daesu Lee, Wonsuk Lee:
Finding Maximal Frequent Itemsets over Online Data Streams Adaptively. 266-273 - Carson Kai-Sang Leung
CanTree: A Tree Structure for Efficient Incremental Mining of Frequent Patterns. 274-281 - Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu:
Combining Multiple Clusterings by Soft Correspondence. 282-289 - Anna M. Manning, David J. Haglin:
A New Algorithm for Finding Minimal Sample Uniques for Use in Statistical Disclosure Assessment. 290-297 - Keith Marsolo, Srinivasan Parthasarathy
Alternate Representation of Distance Matrices for Characterization of Protein Structure. 298-305 - Shawn Martin:
Training Support Vector Machines Using Gilbert's Algorithm. 306-313 - Steven Minton, Claude Nanjo, Craig A. Knoblock, Martin Michalowski
A Heterogeneous Field Matching Method for Record Linkage. 314-321 - Jennifer Neville, David D. Jensen
Leveraging Relational Autocorrelation with Latent Group Models. 322-329 - Thomas Takeo Osugi, Kun Deng, Stephen Scott:
Balancing Exploration and Exploitation: A New Algorithm for Active Machine Learning. 330-337 - Feng Pan, Wei Wang
Finding Representative Set from Massive Data. 338-345 - Spiros Papadimitriou, Aristides Gionis, Panayiotis Tsaparas
Parameter-Free Spatial Data Mining Using MDL. 346-353 - Panagiotis Papapetrou
Discovering Frequent Arrangements of Temporal Intervals. 354-361 - Marcelino Pereira dos Santos Silva, Gilberto Câmara, Ricardo Cartaxo Modesto de Souza, Dalton de Morisson Valeriano, Maria Isabel Sobral Escada
Mining Patterns of Change in Remote Sensing Image Databases. 362-369 - Saharon Rosset, Claudia Perlich, Bianca Zadrozny:
Ranking-Based Evaluation of Regression Models. 370-377 - Lars Schmidt-Thieme
Compound Classification Models for Recommender Systems. 378-385 - Ted E. Senator:
Multi-Stage Classification. 386-393 - Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong:
Learning Functional Dependency Networks Based on Genetic Programming. 394-401 - Michael S. Steinbach
Generalizing the Notion of Confidence. 402-409 - Jonathan Stoeckel, Glenn Fung:
SVM Feature Selection for Classification of SPECT Images of Alzheimer's Disease Using Spatial Information. 410-417 - Jimeng Sun
Neighborhood Formation and Anomaly Detection in Bipartite Graphs. 418-425 - Xingzhi Sun, Philip S. Yu:
A Border-Based Approach for Hiding Sensitive Frequent Itemsets. 426-433 - Zoltán Szamonek, Csaba Szepesvári:
X-mHMM: An Efficient Algorithm for Training Mixtures of HMMs When the Number of Mixtures Is Unknown. 434-441 - Raz Tamir:
A Random Walk through Human Associations. 442-449 - Dacheng Tao, Xuelong Li
Supervised Tensor Learning. 450-457 - Gang Wang, Hui Zhang, Zhihua Zhang, Frederick H. Lochovsky
A Bernoulli Relational Model for Nonlinear Embedding. 458-465 - Ke Wang, Benjamin C. M. Fung
Template-Based Privacy Preservation in Classification Problems. 466-473 - Peng Wang, Haixun Wang, Xiaochen Wu, Wei Wang, Baile Shi:
On Reducing Classifier Granularity in Mining Concept-Drifting Data Streams. 474-481 - Yongge Wang
Approximate Inverse Frequent Itemset Mining: Privacy, Complexity, and Approximation. 482-489 - Li Wei, Eamonn J. Keogh, Helga Van Herle, Agenor Mafra-Neto:
Atomic Wedgie: Efficient Query Filtering for Streaming Times Series. 490-497 - Oksana Yakhnenko, Adrian Silvescu, Vasant G. Honavar:
Discriminatively Trained Markov Model for Sequence Classification. 498-505 - Jie Yin, Qiang Yang:
Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering. 506-513 - Peng Zhang, Norbert Riedel:
Discriminant Analysis: A Unified Approach. 514-521 - Yi Zhang, W. Nick Street, Samuel Burer:
Sharing Classifiers among Ensembles from Related Problem Domains. 522-529 - Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xiao:
A Visual Data Mining Framework for Convenient Identification of Useful Knowledge. 530-537 - Dong Zhuang, Benyu Zhang, Qiang Yang, Jun Yan, Zheng Chen, Ying Chen:
Efficient Text Classification by Weighted Proximal SVM. 538-545
Short Papers
- Hidenao Abe
A Rule Evaluation Support Method with Learning Models Based on Objective Rule Evaluation Indexes. 549-552 - Foto N. Afrati, Gautam Das
Mining Chains of Relations. 553-556 - Fabio Aiolli:
A Preference Model for Structured Supervised Learning Tasks. 557-560 - Maurizio Atzori, Francesco Bonchi, Fosca Giannotti, Dino Pedreschi
Blocking Anonymity Threats Raised by Frequent Itemset Mining. 561-564 - Abraham Bagherjeiran, Christoph F. Eick, Chun-Sheng Chen, Ricardo Vilalta:
Adaptive Clustering: Obtaining Better Clusters Using Feedback and Past Experience. 565-568 - Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao:
Semi-Supervised Mixture of Kernels via LPBoost Methods. 569-572 - Haiyun Bian, Raj Bhatnagar:
A Levelwise Search Algorithm for Interesting Subspace Clusters. 573-576 - Robin D. Burke
Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems. 577-580 - Richard Butterworth, Gregory Piatetsky-Shapiro, Dan A. Simovici:
On Feature Selection through Clustering. 581-584 - Gong Chen, Xindong Wu, Xingquan Zhu
Sequential Pattern Mining in Multiple Streams. 585-588 - Keke Chen, Ling Liu:
Privacy Preserving Data Classification with Rotation Perturbation. 589-592 - Yixin Chen, Henry L. Bart Jr., Shuqing Huang, Huimin Chen:
A Computational Framework for Taxonomic Research: Diagnosing Body Shape within Fish Species Complexes. 593-596 - Frans Coenen
Obtaining Best Parameter Values for Accurate Classification. 597-600 - Federico Di Palma, Giuseppe De Nicolao, Guido Miraglia, Oliver M. Donzelli:
Process Diagnosis via Electrical-Wafer-Sorting Maps Classification. 601-604 - Wei Fan, Ian Davidson, Bianca Zadrozny, Philip S. Yu:
An Improved Categorization of Classifier's Sensitivity on Sample Selection Bias. 605-608 - Johannes Fischer, Volker Heun, Stefan Kramer:
Fast Frequent String Mining Using Suffix Arrays. 609-612 - Ada Wai-Chee Fu, Raymond Chi-Wing Wong
Privacy-Preserving Frequent Pattern Mining across Private Databases. 613-616 - Jie Gao, Jörg Denzinger
CoLe: A Cooperative Data Mining Approach and Its Application to Early Diabetes Detection. 617-620 - Like Gao, Xiaoyang Sean Wang:
Feature Selection for Building Cost-Effective Data Stream Classifiers. 621-624 - Thomas George, Srujana Merugu:
A Scalable Collaborative Filtering Framework Based on Co-Clustering. 625-628 - Shantanu Godbole, Ganesh Ramakrishnan, Sunita Sarawagi:
Text Classification with Evolving Label-Sets. 629-632 - Ningthoujam Gourakishwar Singh, Sanasam Ranbir Singh, Anjana Kakoti Mahanta
CloseMiner: Discovering Frequent Closed Itemsets Using Frequent Closed Tidsets. 633-636 - Maria Halkidi
A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria. 637-640 - Kirsten Hildrum, Philip S. Yu:
Focused Community Discovery. 641-644 - Ayça Azgin Hintoglu, Ali Inan
Suppressing Data Sets to Prevent Discovery of Association Rules. 645-648 - Han-Shen Huang, Bou-Ho Yang, Chun-Nan Hsu:
Triple Jump Acceleration for the EM Algorithm. 649-652 - Jin Huang, Charles X. Ling:
Partial Ensemble Classifiers Selection for Better Ranking. 653-656 - Tsuyoshi Idé
Pairwise Symmetry Decomposition Method for Generalized Covariance Analysis. 657-660 - Vandana Pursnani Janeja, Vijayalakshmi Atluri
FS3: A Random Walk Based Free-Form Spatial Scan Statistic for Anomalous Window Detection. 661-664 - Xing Jiang, Ah-Hwee Tan
Mining Ontological Knowledge from Domain-Specific Text Documents. 665-668 - Yuelong Jiang, Ke Wang, Alexander Tuzhilin, Ada Wai-Chee Fu:
Mining Patterns That Respond to Actions. 669-672 - Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho
Supervised Ordering - An Empirical Survey. 673-676 - Ning Kang, Carlotta Domeniconi, Daniel Barbará:
Categorization and Keyword Identification of Unlabeled Documents. 677-680 - Ismo Kärkkäinen, Pasi Fränti:
Gradual Model Generator for Single-Pass Clustering. 681-684 - Paul Komarek, Andrew W. Moore:
Making Logistic Regression a Core Data Mining Tool with TR-IRLS. 685-688 - Hans-Peter Kriegel, Martin Pfeifle:
Hierarchical Density-Based Clustering of Uncertain Data. 689-692 - Nimit Kumar, Krishna Kummamuru, Deepa Paranjpe:
Semi-Supervised Clustering with Metric Learning Using Relative Comparisons. 693-696 - Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agrawal:
On Learning Asymmetric Dissimilarity Measures. 697-700 - Longin Jan Latecki
Partial Elastic Matching of Time Series. 701-704 - In-Yee Lee, Jan-Ming Ho, Ming-Syan Chen
CLUGO: A Clustering Algorithm for Automated Functional Annotations Based on Gene Ontology. 705-708 - Daniel Lemire, Martin Brooks, Yuhong Yan:
An Optimal Linear Time Algorithm for Quasi-Monotonic Segmentation. 709-712 - Loïck Lhote, François Rioult, Arnaud Soulet:
Average Number of Frequent (Closed) Patterns in Bernouilli and Markovian Databases. 713-716 - Charles X. Ling, Shengli Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji:
Predicting Software Escalations with Maximum ROI. 717-720 - Jinze Liu, Susan Paulsen, Wei Wang
Mining Approximate Frequent Itemsets from Noisy Data. 721-724 - Ning Liu, Benyu Zhang, Jun Yan, Zheng Chen, Wenyin Liu, Fengshan Bai, Leefeng Chien:
Text Representation: From Vector to Tensor. 725-728 - Elio Lozano, Edgar Acuña
Parallel Algorithms for Distance-Based and Density-Based Outliers. 729-732 - Tong Luo, Lawrence O. Hall, Dmitry B. Goldgof, Andrew Remsen:
Bit Reduction Support Vector Machine. 733-736 - Sandeep Mane, Carson Murray, Shashi Shekhar, Jaideep Srivastava
Spatial Clustering of Chimpanzee Locations for Neighborhood Identification. 737-740 - Bruno Martins
A Graph-Ranking Algorithm for Geo-Referencing Documents. 741-744 - Prem Melville, Foster J. Provost, Raymond J. Mooney:
An Expected Utility Approach to Active Feature-Value Acquisition. 745-748 - Dheerendranath Mundluru, Jayasimha Reddy Katukuri, Saygin Celebi:
Automatically Mining Result Records from Search Engine Response Pages. 749-752 - Jian Pei, Jian Liu, Haixun Wang, Ke Wang, Philip S. Yu, Jianyong Wang:
Efficiently Mining Frequent Closed Partial Orders. 753-756 - Kunal Punera, Joydeep Ghosh:
CLUMP: A Scalable and Robust Framework for Structure Discovery. 757-760 - Martin Scholz:
On the Tractability of Rule Discovery from Distributed Data. 761-764 - Jiazheng Shi, Ashok Samal, David Marx:
Face Recognition Using Landmark-Based Bidimensional Regression. 765-768 - Arno Siebes, Muhammad Subianto
Instability of Classifiers on Categorical Data. 769-772 - Lisa Singh, Lise Getoor, Louis Licamele:
Pruning Social Networks Using Structural Properties and Descriptive Attributes. 773-776 - Arnaud Soulet, Bruno Crémilleux:
Optimizing Constraint-Based Mining by Automatically Relaxing Constraints. 777-780 - Lei Tang, Huan Liu:
Bias Analysis in Text Classification for Highly Skewed Data. 781-784 - Alexandre Termier, Marie-Christine Rousset, Michèle Sebag, Kouzou Ohara, Takashi Washio, Hiroshi Motoda:
Efficient Mining of High Branching Factor Attribute Trees. 785-788 - Chi-Ho Tsang, Sam Kwong
Anomaly Intrusion Detection Using Multi-Objective Genetic Fuzzy System and Agent-Based Evolutionary Computation Framework. 789-792 - Takashi Washio, Yuki Mitsunaga, Hiroshi Motoda:
Mining Quantitative Frequent Itemsets Using Adaptive Density-Based Subspace Clustering. 793-796 - Tak-Lam Wong, Wai Lam:
Hot Item Mining and Summarization from Multiple Auction Web Sites. 797-800 - Wensheng Wu, AnHai Doan, Clement T. Yu:
Merging Interface Schemas on the Deep Web via Clustering Aggregation. 801-804 - Kiyoung Yang, Cyrus Shahabi:
On the Stationarity of Multivariate Time Series for Correlation-Based Data Analysis. 805-808 - Sandeep Yaramakala, Dimitris Margaritis:
Speculative Markov Blanket Discovery for Optimal Feature Selection. 809-812 - Jin Soung Yoo, Shashi Shekhar, Mete Celik
A Join-Less Approach for Co-Location Pattern Mining: A Summary of Results. 813-816 - Kun Zhang, Zujia Xu, Jing Peng, Bill P. Buckles:
Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees. 817-820 - Xiaofeng Zhang, William K. Cheung
Visualizing Global Manifold Based on Distributed Local Data Abstractions. 821-824 - Yi Zhang, W. Nick Street:
Bagging with Adaptive Costs. 825-828 - Cui Zhu, Hiroyuki Kitagawa
Example-Based Robust Outlier Detection in High Dimensional Datasets. 829-832 - Albrecht Zimmermann, Björn Bringmann:
CTC - Correlating Tree Patterns for Classification. 833-836
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