Table of Contents

• Graph Mining: Laws, Generators and ToolsChristos Faloutsos. 1 [doi]
• Efficient Algorithms for Mining Frequent and Closed Patterns from Semi-structured DataHiroki Arimura. 2-13 [doi]
• Supporting Creativity: Towards Associative Discovery of New InsightsMichael R. Berthold, Fabian Dill, Tobias Kötter, Kilian Thiel. 14-25 [doi]
• Cost-Sensitive Classifier Evaluation Using Cost CurvesRobert C. Holte, Chris Drummond. 26-29 [doi]
• Prospective Scientific Methodology in Knowledge SocietyGenshiro Kitagawa. 30-39 [doi]
• SubClass: Classification of Multidimensional Noisy Data Using Subspace ClustersIra Assent, Ralph Krieger, Petra Welter, Jörg Herbers, Thomas Seidl. 40-52 [doi]
• Mining Quality-Aware Subspace ClustersYing-Ju Chen, Yi-Hong Chu, Ming-Syan Chen. 53-63 [doi]
• A Decremental Approach for Mining Frequent Itemsets from Uncertain DataChun Kit Chui, Ben Kao. 64-75 [doi]
• Multi-class Named Entity Recognition Via Bootstrapping with Dependency Tree-Based PatternsVan B. Dang, Akiko N. Aizawa. 76-87 [doi]
• Towards Region Discovery in Spatial DatasetsWei Ding, Rachsuda Jiamthapthaksin, Rachana Parmar, Dan Jiang, Tomasz F. Stepinski, Christoph F. Eick. 88-99 [doi]
• Accurate and Efficient Retrieval of Multimedia Time Series Data Under Uniform Scaling and Time WarpingWaiyawuth Euachongprasit, Chotirat Ann Ratanamahatana. 100-111 [doi]
• Feature Construction Based on Closedness Properties Is Not That SimpleDominique Gay, Nazha Selmaoui, Jean-François Boulicaut. 112-123 [doi]
• On Addressing Accuracy Concerns in Privacy Preserving Association Rule MiningLing Guo, Songtao Guo, Xintao Wu. 124-135 [doi]
• Privacy-Preserving Linear Fisher Discriminant AnalysisShuguo Han, Wee Keong Ng. 136-147 [doi]
• Unsupervised Change Analysis Using Supervised LearningShohei Hido, Tsuyoshi Idé, Hisashi Kashima, Harunobu Kubo, Hirofumi Matsuzawa. 148-159 [doi]
• ANEMI: An Adaptive Neighborhood Expectation-Maximization Algorithm with Spatial Augmented InitializationTianming Hu, Hui Xiong, Xueqing Gong, Sam Yuan Sung. 160-171 [doi]
• Minimum Variance Associations - Discovering Relationships in Numerical DataSzymon Jaroszewicz. 172-183 [doi]
• An Efficient Unordered Tree Kernel and Its Application to Glycan ClassificationTetsuji Kuboyama, Kouichi Hirata, Kiyoko F. Aoki-Kinoshita. 184-195 [doi]
• Generation of Globally Relevant Continuous Features for ClassificationSylvain Létourneau, Stan Matwin, A. Fazel Famili. 196-208 [doi]
• Mining Bulletin Board Systems Using Community GenerationMing Li, Zhongfei (Mark) Zhang, Zhi-Hua Zhou. 209-221 [doi]
• Extreme Support Vector Machine ClassifierQiuge Liu, Qing He, Zhongzhi Shi. 222-233 [doi]
• LCM over ZBDDs: Fast Generation of Very Large-Scale Frequent Itemsets Using a Compact Graph-Based RepresentationShin-ichi Minato, Takeaki Uno, Hiroki Arimura. 234-246 [doi]
• Unusual Pattern Detection in High DimensionsMinh Quoc Nguyen, Leo Mark, Edward Omiecinski. 247-259 [doi]
• Person Name Disambiguation in Web Pages Using Social Network, Compound Words and Latent TopicsShingo Ono, Issei Sato, Minoru Yoshida, Hiroshi Nakagawa. 260-271 [doi]
• Mining Correlated Subgraphs in Graph DatabasesTomonobu Ozaki, Takenao Ohkawa. 272-283 [doi]
• A Minimal Description Length Scheme for Polynomial RegressionAleksandar Peckov, Saso Dzeroski, Ljupco Todorovski. 284-295 [doi]
• Handling Numeric Attributes in Hoeffding TreesBernhard Pfahringer, Geoffrey Holmes, Richard Kirkby. 296-307 [doi]
• Scaling Record Linkage to Non-uniform Distributed Class SizesSteffen Rendle, Lars Schmidt-Thieme. 308-319 [doi]
• Large-Scale k-Means Clustering with User-Centric Privacy PreservationJun Sakuma, Shigenobu Kobayashi. 320-332 [doi]
• Semi-Supervised Local Fisher Discriminant Analysis for Dimensionality ReductionMasashi Sugiyama, Tsuyoshi Idé, Shinichi Nakajima, Jun Sese. 333-344 [doi]
• An Efficient Algorithm for Finding Similar Short Substrings from Large Scale String DataTakeaki Uno. 345-356 [doi]
• Ambiguous Frequent Itemset Mining and Polynomial Delay EnumerationTakeaki Uno, Hiroki Arimura. 357-368 [doi]
• Characteristic-Based Descriptors for Motion Sequence RecognitionLiang Wang, Xiaozhe Wang, Christopher Leckie, Kotagiri Ramamohanarao. 369-380 [doi]
• Protecting Privacy in Incremental Maintenance for Distributed Association Rule MiningWai Kit Wong, David W. Cheung, Edward Hung, Huan Liu. 381-392 [doi]
• SEM: Mining Spatial Events from the WebKaifeng Xu, Rui Li, Shenghua Bao, Dingyi Han, Yong Yu. 393-404 [doi]
• BOAI: Fast Alternating Decision Tree Induction Based on Bottom-Up EvaluationBishan Yang, Tengjiao Wang, Dongqing Yang, Lei Chang. 405-416 [doi]
• Feature Selection by Nonparametric Bayes Error MinimizationShuang-Hong Yang, Bao-Gang Hu. 417-428 [doi]
• A Framework for Modeling Positive Class Expansion with Single SnapshotYang Yu, Zhi-Hua Zhou. 429-440 [doi]
• A Decomposition Algorithm for Learning Bayesian Network Structures from DataYifeng Zeng, Jorge Cordero Hernandez. 441-453 [doi]
• Learning Classification Rules for Multiple Target AttributesBernard Zenko, Saso Dzeroski. 454-465 [doi]
• A Mixture Model for Expert FindingJing Zhang, Jie Tang, Liu Liu, Juan-Zi Li. 466-478 [doi]
• On Privacy in Time Series Data MiningYe Zhu, Yongjian Fu, Huirong Fu. 479-493 [doi]
• Exploiting Propositionalization Based on Random Relational Rules for Semi-supervised LearningGrant Anderson, Bernhard Pfahringer. 494-502 [doi]
• On Discrete Data ClusteringNizar Bouguila, Walid ElGuebaly. 503-510 [doi]
• Automatic Training Example Selection for Scalable Unsupervised Record LinkagePeter Christen. 511-518 [doi]
• Analyzing PETs on Imbalanced Datasets When Training and Testing Class Distributions DifferDavid A. Cieslak, Nitesh V. Chawla. 519-526 [doi]
• Improving the Robustness to Outliers of Mixtures of Probabilistic PCAsNicolas Delannay, Cédric Archambeau, Michel Verleysen. 527-535 [doi]
• Exploratory Hot Spot Profile Analysis Using Interactive Visual Drill-Down Self-Organizing MapsDenny, Graham J. Williams, Peter Christen. 536-543 [doi]
• Maintaining Optimal Multi-way Splits for Numerical Attributes in Data StreamsTapio Elomaa, Petri Lehtinen. 544-553 [doi]
• Efficient Mining of High Utility Itemsets from Large DatasetsAlva Erwin, Raj P. Gopalan, N. R. Achuthan. 554-561 [doi]
• Tradeoff Analysis of Different Markov Blanket Local Learning ApproachesShunkai Fu, Michel Desmarais. 562-571 [doi]
• Forecasting Urban Air Pollution Using HMM-Fuzzy ModelM. Maruf Hossain, Md. Rafiul Hassan, Michael Kirley. 572-581 [doi]
• Relational Pattern Mining Based on Equivalent Classes of Properties Extracted from SamplesNobuhiro Inuzuka, Jun-ichi Motoyama, Shinpei Urazawa, Tomofumi Nakano. 582-591 [doi]
• Evaluating Standard Techniques for Implicit DiversityUlf Johansson, Tuve Löfström, Lars Niklasson. 592-599 [doi]
• A Simple Characterization on Serially Constructible EpisodesTakashi Katoh, Kouichi Hirata. 600-607 [doi]
• Bootstrap Based Pattern Selection for Support Vector RegressionDongil Kim, Sungzoon Cho. 608-615 [doi]
• Tracking Topic Evolution in On-Line Postings: 2006 IBM Innovation Jam DataMei Kobayashi, Raylene Yung. 616-625 [doi]
• PAID: Packet Analysis for Anomaly Intrusion DetectionKuo-Chen Lee, Jason Chang, Ming-Syan Chen. 626-633 [doi]
• A Comparison of Different Off-Centered Entropies to Deal with Class Imbalance for Decision TreesPhilippe Lenca, Stéphane Lallich, Thanh-Nghi Do, Nguyen-Khang Pham. 634-643 [doi]
• FIsViz: A Frequent Itemset VisualizerCarson Kai-Sang Leung, Pourang Irani, Christopher L. Carmichael. 644-652 [doi]
• A Tree-Based Approach for Frequent Pattern Mining from Uncertain DataCarson Kai-Sang Leung, Mark Anthony F. Mateo, Dale A. Brajczuk. 653-661 [doi]
• Connectivity Based Stream Clustering Using Localised Density ExemplarsSebastian Lühr, Mihai Lazarescu. 662-672 [doi]
• Learning User Purchase Intent from User-Centric DataRajan M. Lukose, Jiye Li, Jing Zhou, Satyanarayana Raju Penmetsa. 673-680 [doi]
• Query Expansion for the Language Modelling Framework Using the Naïve Bayes AssumptionLaurence A. F. Park, Kotagiri Ramamohanarao. 681-688 [doi]
• Fast Online Estimation of the Joint Probability DistributionJan Peter Patist. 689-696 [doi]
• Fast k Most Similar Neighbor Classifier for Mixed Data Based on Approximating and EliminatingSelene Hernández-Rodríguez, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad. 697-704 [doi]
• Entity Network Prediction Using Multitype Topic ModelsHitohiro Shiozaki, Koji Eguchi, Takenao Ohkawa. 705-714 [doi]
• Using Supervised and Unsupervised Techniques to Determine Groups of Patients with Different Doctor-Patient StabilityEu-Gene Siew, Leonid Churilov, Kate Smith-Miles, Joachim P. Sturmberg. 715-722 [doi]
• Local Projection in Jumping Emerging Patterns Discovery in Transaction DatabasesPawel Terlecki, Krzysztof Walczak 0002. 723-730 [doi]
• Applying Latent Semantic Indexing in Frequent Itemset Mining for Document Relation DiscoveryThanaruk Theeramunkong, Kritsada Sriphaew, Manabu Okumura. 731-738 [doi]
• G-TREACLE: A New Grid-Based and Tree-Alike Pattern Clustering Technique for Large DatabasesCheng-Fa Tsai, Chia-Chen Yen. 739-748 [doi]
• A Clustering-Oriented Star Coordinate Translation Method for Reliable Clustering ParameterizationChieh-Yuan Tsai, Chuang-Cheng Chiu. 749-758 [doi]
• Constrained Clustering for Gene Expression Data MiningVincent S. Tseng, Lien-Chin Chen, Ching-Pin Kao. 759-766 [doi]
• Concept Lattice-Based Mutation Control for Reactive Motifs DiscoveryKitsana Waiyamai, Peera Liewlom, Thanapat Kangkachit, Thanawin Rakthanmanon. 767-776 [doi]
• Mining a Complete Set of Both Positive and Negative Association Rules from Large DatabasesHao Wang, Xing Zhang, Guoqing Chen. 777-784 [doi]
• Designing a System for a Process Parameter Determined through Modified PSO and Fuzzy Neural NetworkJui-Tsung Wong, Kuei-Hsien Chen, Chwen-Tzeng Su. 785-794 [doi]
• Data-Aware Clustering Hierarchy for Wireless Sensor NetworksXiaochen Wu, Peng Wang, Wei Wang, Baile Shi. 795-802 [doi]
• A More Topologically Stable Locally Linear Embedding Algorithm Based on R*-TreeTian Xia, Jintao Li, Yongdong Zhang, Sheng Tang. 803-812 [doi]
• Sparse Kernel-Based Feature WeightingShuang-Hong Yang, Yujiu Yang, Bao-Gang Hu. 813-820 [doi]
• Term Committee Based Event Identification within News TopicsKuo Zhang, Juan-Zi Li, Gang Wu, Kehong Wang. 821-829 [doi]
• Locally Linear Online Mapping for Mining Low-Dimensional Data ManifoldsHuicheng Zheng, Wei Shen, Qionghai Dai, Sanqing Hu. 830-838 [doi]
• A Creditable Subspace Labeling Method Based on D-S Evidence TheoryYu Zong, Xian-Chao Zhang, He Jiang, MingChu Li. 839-848 [doi]
• Discovering New Orders of the Chemical Elements through Genetic AlgorithmsAlexandre Blansché, Shuichi Iwata. 849-857 [doi]
• What Is Frequent in a Single Graph?Björn Bringmann, Siegfried Nijssen. 858-863 [doi]
• A Cluster-Based Genetic-Fuzzy Mining Approach for Items with Multiple Minimum SupportsChun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng. 864-869 [doi]
• A Selective Classifier for Incomplete DataJingnian Chen, Houkuan Huang, Fengzhan Tian, Shengfeng Tian. 870-876 [doi]
• Detecting Near-Duplicates in Large-Scale Short Text DatabasesCaichun Gong, Yulan Huang, Xueqi Cheng, Shuo Bai. 877-883 [doi]
• Customer Churn Time Prediction in Mobile Telecommunication Industry Using Ordinal RegressionRupesh K. Gopal, Saroj K. Meher. 884-889 [doi]
• Rule Extraction with Rough-Fuzzy Hybridization MethodNan-Chen Hsieh. 890-895 [doi]
• I/O Scalable Bregman Co-clusteringKuo-Wei Hsu, Arindam Banerjee, Jaideep Srivastava. 896-903 [doi]
• Jumping Emerging Patterns with Occurrence Count in Image ClassificationLukasz Kobylinski, Krzysztof Walczak 0002. 904-909 [doi]
• Mining Non-coincidental Rules without a User Defined Support ThresholdYun Sing Koh. 910-915 [doi]
• Transaction Clustering Using a Seeds Based ApproachYun Sing Koh, Russel Pears. 916-922 [doi]
• Using Ontology-Based User Preferences to Aggregate Rank Lists in Web SearchLin Li, Zhenglu Yang, Masaru Kitsuregawa. 923-931 [doi]
• The Application of Echo State Network in Stock Data MiningXiaowei Lin, Zehong Yang, Yixu Song. 932-937 [doi]
• Text Categorization of Multilingual Web Pages in Specific DomainJicheng Liu, Chunyan Liang. 938-944 [doi]
• Efficient Joint Clustering Algorithms in Optimization and Geography DomainsChia-Hao Lo, Wen-Chih Peng. 945-950 [doi]
• Active Learning with Misclassification Sampling Using Diverse Ensembles Enhanced by Unlabeled InstancesJun Long, Jianping Yin, En Zhu, Wentao Zhao. 951-957 [doi]
• A New Model for Image AnnotationSanparith Marukatat. 958-963 [doi]
• Unmixed Spectrum Clustering for Template Composition in Lung Sound ClassificationTomonari Masada, Senya Kiyasu, Sueharu Miyahara. 964-969 [doi]
• Forward Semi-supervised Feature SelectionJiangtao Ren, Zhengyuan Qiu, Wei Fan, Hong Cheng, Philip S. Yu. 970-976 [doi]
• Automatic Extraction of Basis Expressions That Indicate Economic TrendsHiroki Sakaji, Hiroyuki Sakai, Shigeru Masuyama. 977-984 [doi]
• A New Framework for Taxonomy Discovery from TextAhmad El Sayed, Hakim Hacid, Djamel A. Zighed. 985-991 [doi]
• R-Map: Mapping Categorical Data for Clustering and Visualization Based on Reference SetsZhiyong Shen, Jun Sun, Yi-Dong Shen, Ming Li. 992-998 [doi]
• Mining Changes in Patent Trends for Competitive IntelligenceMeng-Jung Shih, Duen-Ren Liu, Ming-Li Hsu. 999-1005 [doi]
• Seeing Several Stars: A Rating Inference Task for a Document Containing Several Evaluation CriteriaKazutaka Shimada, Tsutomu Endo. 1006-1014 [doi]
• Structure-Based Hierarchical Transformations for Interactive Visual Exploration of Social NetworksLisa Singh, Mitchell Beard, Brian Gopalan, Gregory Nelson. 1015-1021 [doi]
• CP-Tree: A Tree Structure for Single-Pass Frequent Pattern MiningSyed Khairuzzaman Tanbeer, Chowdhury Farhan Ahmed, Byeong-Soo Jeong, Young-Koo Lee. 1022-1027 [doi]
• Combining Context and Existing Knowledge When Recognizing Biological Entities - Early ResultsMika Timonen, Antti Pesonen. 1028-1034 [doi]
• Semantic Video Annotation by Mining Association Patterns from Visual and Speech FeaturesVincent S. Tseng, Ja-Hwung Su, Jhih-Hong Huang, Chih-Jen Chen. 1035-1041 [doi]
• Cell-Based Outlier Detection Algorithm: A Fast Outlier Detection Algorithm for Large DatasetsYou Wan, Fuling Bian. 1042-1048 [doi]
• Fighting WebSpam: Detecting Spam on the Graph Via Content and Link FeaturesYujiu Yang, Shuang-Hong Yang, Bao-Gang Hu. 1049-1055 [doi]
• A Framework for Discovering Spatio-temporal Cohesive NetworksJin Soung Yoo, Joengmin Hwang. 1056-1061 [doi]
• Efficient Mining of Minimal Distinguishing Subgraph Patterns from Graph DatabasesZhiping Zeng, Jianyong Wang, Lizhu Zhou. 1062-1068 [doi]
• Combined Association Rule MiningHuaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang. 1069-1074 [doi]
• Enriching WordNet with FolksonomiesHao Zheng, Xian Wu, Yong Yu. 1075-1080 [doi]
• A New Credit Scoring Method Based on Rough Sets and Decision TreeXiYue Zhou, Defu Zhang, Yi Jiang. 1081-1089 [doi]
• Analyzing the Propagation of Influence and Concept Evolution in Enterprise Social Networks through Centrality and Latent Semantic AnalysisWeizhong Zhu, Chaomei Chen, Robert B. Allen. 1090-1098 [doi]