Table of Contents

• Mining of Evolving Data Streams with Privacy PreservationPhilip S. Yu. 1 [doi]
• Data Mining Grand ChallengesUsama M. Fayyad. 2 [doi]
• Evaluating the Replicability of Significance Tests for Comparing Learning AlgorithmsRemco R. Bouckaert, Eibe Frank. 3-12 [doi]
• Spectral Energy Minimization for Semi-supervised LearningChun Hung Li, Zhi-Li Wu. 13-21 [doi]
• Discriminative Methods for Multi-labeled ClassificationShantanu Godbole, Sunita Sarawagi. 22-30 [doi]
• Subspace Clustering of High Dimensional Spatial Data with NoisesChih-Ming Hsu, Ming-Syan Chen. 31-40 [doi]
• Constraint-Based Graph Clustering through Node Sequencing and PartitioningYu Qian, Kang Zhang, Wei Lai. 41-51 [doi]
• Mining Expressive Process Models by Clustering Workflow TracesGianluigi Greco, Antonella Guzzo, Luigi Pontieri, Domenico Saccà. 52-62 [doi]
• CMTreeMiner: Mining Both Closed and Maximal Frequent SubtreesYun Chi, Yirong Yang, Yi Xia, Richard R. Muntz. 63-73 [doi]
• Secure Association Rule SharingStanley R. M. Oliveira, Osmar R. Zaïane, Yücel Saygin. 74-85 [doi]
• Self-Similar Mining of Time Association RulesDaniel Barbará, Ping Chen, Zohreh Nazeri. 86-95 [doi]
• ParaDualMiner: An Efficient Parallel Implementation of the DualMiner AlgorithmRoger Ming Hieng Ting, James Bailey, Kotagiri Ramamohanarao. 96-105 [doi]
• A Novel Distributed Collaborative Filtering Algorithm and Its Implementation on P2P Overlay NetworkPeng Han, Bo Xie, Fan Yang, Ruimin Shen. 106-115 [doi]
• An Efficient Algorithm for Dense Regions Discovery from Large-Scale Data StreamsAndy M. Yip, Edmond HaoCun Wu, Michael K. Ng, Tony F. Chan. 116-120 [doi]
• Blind Data Linkage Using n-gram Similarity ComparisonsTim Churches, Peter Christen. 121-126 [doi]
• Condensed Representation of Emerging PatternsArnaud Soulet, Bruno Crémilleux, François Rioult. 127-132 [doi]
• Discovery of Maximally Frequent Tag Tree Patterns with Contractible Variables from Semistructured DocumentsTetsuhiro Miyahara, Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, Kenichi Takahashi, Hiroaki Ueda. 133-144 [doi]
• Mining Term Association Rules for Heuristic Query ConstructionZhenxing Qin, Li Liu, Shichao Zhang. 145-154 [doi]
• FP-Bonsai: The Art of Growing and Pruning Small FP-TreesFrancesco Bonchi, Bart Goethals. 155-160 [doi]
• Mining Negative Rules Using GRDDhananjay R. Thiruvady, Geoffrey I. Webb. 161-165 [doi]
• Applying Association Rules for Interesting Recommendations Using Rule TemplatesJiye Li, Bin Tang, Nick Cercone. 166-170 [doi]
• Feature Extraction and Classification System for Nonlinear and Online DataByung-Joo Kim, Il Kon Kim, Kwang-Baek Kim. 171-180 [doi]
• A Metric Approach to Building Decision Trees Based on Goodman-Kruskal Association IndexDan A. Simovici, Szymon Jaroszewicz. 181-190 [doi]
• DRC-BK: Mining Classification Rules with Help of SVMYang Zhang, Zhanhuai Li, Yan Tang, Kebin Cui. 191-195 [doi]
• A New Data Mining Method Using Organizational Coevolutionary MechanismJing Liu, Weicai Zhong, Fang Liu, Licheng Jiao. 196-200 [doi]
• Noise Tolerant Classification by Chi Emerging PatternsHongjian Fan, Kotagiri Ramamohanarao. 201-206 [doi]
• The Application of Emerging Patterns for Improving the Quality of Rare-Class ClassificationHamad Alhammady, Kotagiri Ramamohanarao. 207-211 [doi]
• Finding Negative Event-Oriented Patterns in Long Temporal SequencesXingzhi Sun, Maria E. Orlowska, Xue Li. 212-221 [doi]
• OBE: Outlier by ExampleCui Zhu, Hiroyuki Kitagawa, Spiros Papadimitriou, Christos Faloutsos. 222-234 [doi]
• Temporal Sequence Associations for Rare EventsJie Chen, Hongxing He, Graham J. Williams, Huidong Jin. 235-239 [doi]
• Summarization of Spacecraft Telemetry Data by Extracting Significant Temporal PatternsTakehisa Yairi, Shiro Ogasawara, Koichi Hori, Shinichi Nakasuka, Naoki Ishihama. 240-244 [doi]
• An Extended Negative Selection Algorithm for Anomaly DetectionXiaoshu Hang, Honghua Dai. 245-254 [doi]
• Adaptive Clustering for Network Intrusion DetectionJoshua Oldmeadow, Siddarth Ravinutala, Christopher Leckie. 255-259 [doi]
• Ensembling MML Causal DiscoveryHonghua Dai, Gang Li, Zhi-Hua Zhou. 260-271 [doi]
• Logistic Regression and Boosting for Labeled Bags of InstancesXin Xu, Eibe Frank. 272-281 [doi]
• Fast and Light Boosting for Adaptive Mining of Data StreamsFang Chu, Carlo Zaniolo. 282-292 [doi]
• Compact Dual Ensembles for Active LearningAmit Mandvikar, Huan Liu, Hiroshi Motoda. 293-297 [doi]
• On the Size of Training Set and the Benefit from EnsembleZhi-Hua Zhou, Dan Wei, Gang Li, Honghua Dai. 298-307 [doi]
• Identifying Markov Blankets Using Lasso EstimationGang Li, Honghua Dai, Yiqing Tu. 308-318 [doi]
• Selective Augmented Bayesian Network Classifiers Based on Rough Set TheoryZhihai Wang, Geoffrey I. Webb, Fei Zheng. 319-328 [doi]
• Using Self-Consistent Naive-Bayes to Detect MasqueradesKwong H. Yung. 329-340 [doi]
• DB-Subdue: Database Approach to Graph MiningSharma Chakravarthy, Ramji Beera, Ramanathan Balachandran. 341-350 [doi]
• Finding Frequent Structural Features among Words in Tree-Structured DocumentsTomoyuki Uchida, Tomonori Mogawa, Yasuaki Nakamura. 351-360 [doi]
• Exploring Potential of Leave-One-Out Estimator for Calibration of SVM in Text MiningAdam Kowalczyk, Bhavani Raskutti, Herman L. Ferrá. 361-372 [doi]
• Classifying Text Streams in the Presence of Concept DriftsGabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu. 373-383 [doi]
• Using Cluster-Based Sampling to Select Initial Training Set for Active Learning in Text ClassificationJaeho Kang, Kwang Ryel Ryu, Hyuk-Chul Kwon. 384-388 [doi]
• Spectral Analysis of Text Collection for Similarity-Based ClusteringWenyuan Li, Wee Keong Ng, Ee-Peng Lim. 389-393 [doi]
• Clustering Multi-represented Objects with NoiseKarin Kailing, Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert. 394-403 [doi]
• Providing Diversity in K-Nearest Neighbor Query ResultsAnoop Jain, Parag Sarda, Jayant R. Haritsa. 404-413 [doi]
• Cluster Structure of K-means Clustering via Principal Component AnalysisChris H. Q. Ding, Xiaofeng He. 414-418 [doi]
• Combining Clustering with Moving Sequential Pattern Mining: A Novel and Efficient TechniqueShuai Ma, Shiwei Tang, Dongqing Yang, Tengjiao Wang, Jinqiang Han. 419-423 [doi]
• An Alternative Methodology for Mining Seasonal Pattern Using Self-Organizing MapDenny, Vincent C. S. Lee. 424-430 [doi]
• ISM: Item Selection for Marketing with Cross-Selling ConsiderationsRaymond Chi-Wing Wong, Ada Wai-Chee Fu. 431-440 [doi]
• Efficient Pattern-Growth Methods for Frequent Tree Pattern MiningChen Wang, Mingsheng Hong, Jian Pei, Haofeng Zhou, Wei Wang, Baile Shi. 441-451 [doi]
• Mining Association Rules from Structural Deltas of Historical XML DocumentsLing Chen 0002, Sourav S. Bhowmick, Liang-Tien Chia. 452-457 [doi]
• Data Mining Proxy: Serving Large Number of Users for Efficient Frequent Itemset MiningZhiheng Li, Jeffrey Xu Yu, Hongjun Lu, Yabo Xu, Guimei Liu. 458-463 [doi]
• Formal Approach and Automated Tool for Translating ER Schemata into OWL OntologiesZhuoming Xu, Xiao Cao, Yisheng Dong, Wenping Su. 464-475 [doi]
• Separating Structure from InterestingnessTaneli Mielikäinen. 476-485 [doi]
• Exploiting Recurring Usage Patterns to Enhance Filesystem and Memory Subsystem PerformanceBenjamin Rutt, Srinivasan Parthasarathy. 486-496 [doi]
• Automatic Text Extraction for Content-Based Image IndexingKeechul Jung, Eun Yi Kim. 497-507 [doi]
• Peculiarity Oriented Analysis in Multi-people Tracking ImagesMuneaki Ohshima, Ning Zhong, Yiyu Yao, Shinichi Murata. 508-518 [doi]
• AutoSplit: Fast and Scalable Discovery of Hidden Variables in Stream and Multimedia DatabasesJia-Yu Pan, Hiroyuki Kitagawa, Christos Faloutsos, Masafumi Hamamoto. 519-528 [doi]
• Semantic Sequence Kin: A Method of Document Copy DetectionJun-Peng Bao, Jun-Yi Shen, Xiao-dong Liu, Hai-yan Liu, Xiao-Di Zhang. 529-538 [doi]
• Extracting Citation Metadata from Online Publication Lists Using BLASTI-Ane Huang, Jan-Ming Ho, Hung-Yu Kao, Shian-Hua Lin. 539-548 [doi]
• Mining of Web-Page Visiting Patterns with Continuous-Time Markov ModelsQiming Huang, Qiang Yang, Joshua Zhexue Huang, Michael K. Ng. 549-558 [doi]
• Discovering Ordered Tree Patterns from XML QueriesYi Chen 0002. 559-563 [doi]
• Predicting Web Requests Efficiently Using a Probability ModelShanchan Wu, Wenyuan Wang. 564-568 [doi]
• CCMine: Efficient Mining of Confidence-Closed Correlated PatternsWon-Young Kim, Young-Koo Lee, Jiawei Han. 569-579 [doi]
• A Conditional Probability Distribution-Based Dissimilarity Measure for Categorial DataSi Quang Le, Tu Bao Ho. 580-589 [doi]
• Learning Hidden Markov Model Topology Based on KL Divergence for Information ExtractionKwok-Chung Au, Kwok-Wai Cheung. 590-594 [doi]
• A Non-parametric Wavelet Feature Extractor for Time Series ClassificationHui Zhang, Tu Bao Ho, Mao Song Lin. 595-603 [doi]
• Rules Discovery from Cross-Sectional Short-Length Time SeriesKedong Luo, Jianmin Wang, Jia-Guang Sun. 604-614 [doi]
• Constraint-Based Mining of Formal Concepts in Transactional DataJérémy Besson, Céline Robardet, Jean-François Boulicaut. 615-624 [doi]
• Towards Optimizing Conjunctive Inductive QueriesJohannes Fischer, Luc De Raedt. 625-637 [doi]
• Febrl - A Parallel Open Source Data Linkage System: http: //datamining.anu.edu.au/linkage.htmlPeter Christen, Tim Churches, Markus Hegland. 638-647 [doi]
• A General Coding Method for Error-Correcting Output CodesYan-huang Jiang, Qiang-li Zhao, Xuejun Yang. 648-652 [doi]
• Discovering Partial Periodic Patterns in Discrete Data SequencesHuiping Cao, David W. Cheung, Nikos Mamoulis. 653-658 [doi]
• Conceptual Mining of Large Administrative Health DataTatiana Semenova, Markus Hegland, Warwick Graco, Graham J. Williams. 659-669 [doi]
• A Semi-automatic System for Tagging Specialized CorporaAhmed Amrani, Yves Kodratoff, Oriane Matte-Tailliez. 670-681 [doi]
• A Tree-Based Approach to the Discovery of Diagnostic Biomarkers for Ovarian CancerJinyan Li, Kotagiri Ramamohanarao. 682-691 [doi]
• A Novel Parameter-Less Clustering Method for Mining Gene Expression DataVincent Shin-Mu Tseng, Ching-Pin Kao. 692-698 [doi]
• Extracting and Explaining Biological Knowledge in Microarray DataPaul J. Kennedy, Simeon J. Simoff, David B. Skillicorn, Daniel R. Catchpoole. 699-703 [doi]
• Further Applications of a Particle Visualization FrameworkKe Yin, Ian Davidson. 704-710 [doi]