Table of Contents

• Subclass-Oriented Dimension Reduction with Constraint Transformation and Manifold RegularizationBin Tong, Einoshin Suzuki. 1-13 [doi]
• Distributed Knowledge Discovery with Non Linear Dimensionality ReductionPanagis Magdalinos, Michalis Vazirgiannis, Dialecti Valsamou. 14-26 [doi]
• DPSP: Distributed Progressive Sequential Pattern Mining on the CloudJen-Wei Huang, Su-Chen Lin, Ming-Syan Chen. 27-34 [doi]
• An Approach for Fast Hierarchical Agglomerative Clustering Using Graphics Processors with CUDAS. A. Arul Shalom, Manoranjan Dash, Minh Tue. 35-42 [doi]
• Ontology-Based Mining of Brainwaves: A Sequence Similarity Technique for Mapping Alternative Features in Event-Related Potentials (ERP) DataHaishan Liu, Gwen A. Frishkoff, Robert M. Frank, Dejing Dou. 43-54 [doi]
• Combining Support Vector Machines and the ::::t::::-statistic for Gene Selection in DNA Microarray Data AnalysisTao Yang, Vojislav Kecman, Longbing Cao, Chengqi Zhang. 55-62 [doi]
• Satrap: Data and Network Heterogeneity Aware P2P Data-MiningHock Hee Ang, Vivekanand Gopalkrishnan, Anwitaman Datta, Wee Keong Ng, Steven C. H. Hoi. 63-70 [doi]
• Player Performance Prediction in Massively Multiplayer Online Role-Playing Games (MMORPGs)Kyong Jin Shim, Richa Sharan, Jaideep Srivastava. 71-80 [doi]
• Relevant Gene Selection Using Normalized Cut Clustering with Maximal Compression Similarity MeasureRajni Bala, R. K. Agrawal, Manju Sardana. 81-88 [doi]
• A Novel Prototype Reduction Method for the ::::K::::-Nearest Neighbor Algorithm with ::::K:::: >= 1Tao Yang, Longbing Cao, Chengqi Zhang. 89-100 [doi]
• Generalized Two-Dimensional FLD Method for Feature Extraction: An Application to Face RecognitionShiladitya Chowdhury, Jamuna Kanta Sing, Dipak Kumar Basu, Mita Nasipuri. 101-112 [doi]
• Learning Gradients with Gaussian ProcessesXinwei Jiang, Junbin Gao, Tianjiang Wang, Paul W. Kwan. 113-124 [doi]
• Analyzing the Role of Dimension Arrangement for Data Visualization in RadvizLuigi Di Caro, Vanessa Frías-Martínez, Enrique Frías-Martínez. 125-132 [doi]
• Subgraph Mining on Directed and Weighted GraphsStephan Günnemann, Thomas Seidl. 133-146 [doi]
• Finding Itemset-Sharing Patterns in a Large Itemset-Associated GraphMutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun Sese. 147-159 [doi]
• A Framework for SQL-Based Mining of Large Graphs on Relational DatabasesSriganesh Srihari, Shruti Chandrashekar, Srinivasan Parthasarathy. 160-167 [doi]
• Fast Discovery of Reliable ::::k::::-terminal SubgraphsMelissa Kasari, Hannu Toivonen, Petteri Hintsanen. 168-177 [doi]
• GTRACE2: Improving Performance Using Labeled Union GraphsAkihiro Inokuchi, Takashi Washio. 178-188 [doi]
• Orthogonal Nonnegative Matrix Tri-factorization for Semi-supervised Document Co-clusteringHuifang Ma, Weizhong Zhao, Qing Tan, Zhongzhi Shi. 189-200 [doi]
• Rule Synthesizing from Multiple Related DatabasesDan He, Xindong Wu, Xingquan Zhu. 201-213 [doi]
• Fast Orthogonal Nonnegative Matrix Tri-Factorization for Simultaneous ClusteringZhao Li, Xindong Wu, Zhenyu Lu. 214-221 [doi]
• Hierarchical Web-Page Clustering via In-Page and Cross-Page Link StructuresCindy Xide Lin, Yintao Yu, Jiawei Han, Bing Liu. 222-229 [doi]
• Mining Numbers in Text Using Suffix Arrays and Clustering Based on Dirichlet Process Mixture ModelsMinoru Yoshida, Issei Sato, Hiroshi Nakagawa, Akira Terada. 230-237 [doi]
• Opinion-Based Imprecise Query AnsweringMuhammad Abulaish, Tanvir Ahmad, Jahiruddin, Mohammad Najmud Doja. 238-248 [doi]
• Blog Opinion Retrieval Based on Topic-Opinion Mixture ModelPeng Jiang, Chunxia Zhang, Qing Yang, Zhendong Niu. 249-260 [doi]
• Feature Subsumption for Sentiment Classification in Multiple LanguagesZhongwu Zhai, Hua Xu, Jun Li, Peifa Jia. 261-271 [doi]
• Decentralisation of ScoreFinder: A Framework for Credibility Management on User-Generated ContentsYang Liao, Aaron Harwood, Kotagiri Ramamohanarao. 272-282 [doi]
• Classification and Pattern Discovery of Mood in WeblogsThin Nguyen, Dinh Q. Phung, Brett Adams, Tran The Truyen, Svetha Venkatesh. 283-290 [doi]
• Capture of Evidence for Summarization: An Application of Enhanced Subjective LogicSukanya Manna, B. Sumudu U. Mendis, Tom Gedeon. 291-298 [doi]
• Fast Perceptron Decision Tree Learning from Evolving Data StreamsAlbert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Eibe Frank. 299-310 [doi]
• Classification and Novel Class Detection in Data Streams with Active MiningMohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham. 311-324 [doi]
• Bulk Loading Hierarchical Mixture Models for Efficient Stream ClassificationPhilipp Kranen, Ralph Krieger, Stefan Denker, Thomas Seidl. 325-334 [doi]
• Summarizing Multidimensional Data Streams: A Hierarchy-Graph-Based ApproachYoann Pitarch, Anne Laurent, Pascal Poncelet. 335-342 [doi]
• Efficient Trade-Off between Speed Processing and Accuracy in Summarizing Data StreamsNesrine Gabsi, Fabrice Clérot, Georges Hébrail. 343-353 [doi]
• Subsequence Matching of Stream Synopses under the Time Warping DistanceSu-Chen Lin, Mi-Yen Yeh, Ming-Syan Chen. 354-361 [doi]
• Normalized Kernels as Similarity IndicesJulien Ah-Pine. 362-373 [doi]
• Adaptive Matching Based Kernels for Labelled GraphsAdam Woznica, Alexandros Kalousis, Melanie Hilario. 374-385 [doi]
• A New Framework for Dissimilarity and Similarity LearningAdam Woznica, Alexandros Kalousis. 386-397 [doi]
• Semantic-Distance Based Clustering for XML Keyword SearchWeidong Yang, Hao Zhu. 398-409 [doi]
• oddball: Spotting Anomalies in Weighted GraphsLeman Akoglu, Mary McGlohon, Christos Faloutsos. 410-421 [doi]
• Robust Outlier Detection Using Commute Time and Eigenspace EmbeddingNguyen Lu Dang Khoa, Sanjay Chawla. 422-434 [doi]
• EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large GraphsB. Aditya Prakash, Ashwin Sridharan, Mukund Seshadri, Sridhar Machiraju, Christos Faloutsos. 435-448 [doi]
• BASSET: Scalable Gateway Finder in Large GraphsHanghang Tong, Spiros Papadimitriou, Christos Faloutsos, Philip S. Yu, Tina Eliassi-Rad. 449-463 [doi]
• Ensemble Learning Based on Multi-Task Class LabelsQing Wang, Liang Zhang. 464-475 [doi]
• Supervised Learning with Minimal EffortEileen A. Ni, Charles X. Ling. 476-487 [doi]
• Generating Diverse Ensembles to Counter the Problem of Class ImbalanceT. Ryan Hoens, Nitesh V. Chawla. 488-499 [doi]
• Relationship between Diversity and Correlation in Multi-Classifier SystemsKuo-Wei Hsu, Jaideep Srivastava. 500-506 [doi]
• Compact Margin MachineBo Dai, Gang Niu. 507-514 [doi]