14. PAKDD 2010: Hyderabad, India

Mohammed Javeed Zaki, Jeffrey Xu Yu, B. Ravindran, Vikram Pudi (Eds.): Advances in Knowledge Discovery and Data Mining, 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part II. Lecture Notes in Computer Science 6119 Springer 2010, ISBN 978-3-642-13671-9

Dimensionality Reduction/Parallelism

Bin Tong, Einoshin Suzuki:
Subclass-Oriented Dimension Reduction with Constraint Transformation and Manifold Regularization. 1-13
Panagis Magdalinos, Michalis Vazirgiannis, Dialecti Valsamou:
Distributed Knowledge Discovery with Non Linear Dimensionality Reduction. 14-26
Jen-Wei Huang, Su-Chen Lin, Ming-Syan Chen:
DPSP: Distributed Progressive Sequential Pattern Mining on the Cloud. 27-34
S. A. Arul Shalom, Manoranjan Dash, Minh Tue:
An Approach for Fast Hierarchical Agglomerative Clustering Using Graphics Processors with CUDA. 35-42

Haishan Liu, Gwen A. Frishkoff, Robert M. Frank, Dejing Dou:
Ontology-Based Mining of Brainwaves: A Sequence Similarity Technique for Mapping Alternative Features in Event-Related Potentials (ERP) Data. 43-54
Tao Yang, Vojislav Kecman, Longbing Cao, Chengqi Zhang:
Combining Support Vector Machines and the t-statistic for Gene Selection in DNA Microarray Data Analysis. 55-62
Hock Hee Ang, Vivekanand Gopalkrishnan, Anwitaman Datta, Wee Keong Ng, Steven C. H. Hoi:
Satrap: Data and Network Heterogeneity Aware P2P Data-Mining. 63-70
Kyong Jin Shim, Richa Sharan, Jaideep Srivastava:
Player Performance Prediction in Massively Multiplayer Online Role-Playing Games (MMORPGs). 71-80
Rajni Bala, R. K. Agrawal, Manju Sardana:
Relevant Gene Selection Using Normalized Cut Clustering with Maximal Compression Similarity Measure. 81-88

Tao Yang, Longbing Cao, Chengqi Zhang:
A Novel Prototype Reduction Method for the K-Nearest Neighbor Algorithm with K >= 1. 89-100
Shiladitya Chowdhury, Jamuna Kanta Sing, Dipak Kumar Basu, Mita Nasipuri:
Generalized Two-Dimensional FLD Method for Feature Extraction: An Application to Face Recognition. 101-112
Xinwei Jiang, Junbin Gao, Tianjiang Wang, Paul W. Kwan:
Learning Gradients with Gaussian Processes. 113-124
Luigi Di Caro, Vanessa Frías-Martínez, Enrique Frías-Martínez:
Analyzing the Role of Dimension Arrangement for Data Visualization in Radviz. 125-132

Stephan Günnemann, Thomas Seidl:
Subgraph Mining on Directed and Weighted Graphs. 133-146
Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun Sese:
Finding Itemset-Sharing Patterns in a Large Itemset-Associated Graph. 147-159
Sriganesh Srihari, Shruti Chandrashekar, Srinivasan Parthasarathy:
A Framework for SQL-Based Mining of Large Graphs on Relational Databases. 160-167
Melissa Kasari, Hannu Toivonen, Petteri Hintsanen:
Fast Discovery of Reliable k-terminal Subgraphs. 168-177
Akihiro Inokuchi, Takashi Washio:
GTRACE2: Improving Performance Using Labeled Union Graphs. 178-188

Huifang Ma, Weizhong Zhao, Qing Tan, Zhongzhi Shi:
Orthogonal Nonnegative Matrix Tri-factorization for Semi-supervised Document Co-clustering. 189-200
Dan He, Xindong Wu, Xingquan Zhu:
Rule Synthesizing from Multiple Related Databases. 201-213
Zhao Li, Xindong Wu, Zhenyu Lu:
Fast Orthogonal Nonnegative Matrix Tri-Factorization for Simultaneous Clustering. 214-221
Cindy Xide Lin, Yintao Yu, Jiawei Han, Bing Liu:
Hierarchical Web-Page Clustering via In-Page and Cross-Page Link Structures. 222-229
Minoru Yoshida, Issei Sato, Hiroshi Nakagawa, Akira Terada:
Mining Numbers in Text Using Suffix Arrays and Clustering Based on Dirichlet Process Mixture Models. 230-237

Muhammad Abulaish, Tanvir Ahmad, Jahiruddin, Mohammad Najmud Doja:
Opinion-Based Imprecise Query Answering. 238-248
Peng Jiang, Chunxia Zhang, Qing Yang, Zhendong Niu:
Blog Opinion Retrieval Based on Topic-Opinion Mixture Model. 249-260
Zhongwu Zhai, Hua Xu, Jun Li, Peifa Jia:
Feature Subsumption for Sentiment Classification in Multiple Languages. 261-271
Yang Liao, Aaron Harwood, Kotagiri Ramamohanarao:
Decentralisation of ScoreFinder: A Framework for Credibility Management on User-Generated Contents. 272-282
Thin Nguyen, Dinh Q. Phung, Brett Adams, Tran The Truyen, Svetha Venkatesh:
Classification and Pattern Discovery of Mood in Weblogs. 283-290
Sukanya Manna, B. Sumudu U. Mendis, Tom Gedeon:
Capture of Evidence for Summarization: An Application of Enhanced Subjective Logic. 291-298

Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Eibe Frank:
Fast Perceptron Decision Tree Learning from Evolving Data Streams. 299-310
Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham:
Classification and Novel Class Detection in Data Streams with Active Mining. 311-324
Philipp Kranen, Ralph Krieger, Stefan Denker, Thomas Seidl:
Bulk Loading Hierarchical Mixture Models for Efficient Stream Classification. 325-334
Yoann Pitarch, Anne Laurent, Pascal Poncelet:
Summarizing Multidimensional Data Streams: A Hierarchy-Graph-Based Approach. 335-342
Nesrine Gabsi, Fabrice Clérot, Georges Hébrail:
Efficient Trade-Off between Speed Processing and Accuracy in Summarizing Data Streams. 343-353
Su-Chen Lin, Mi-Yen Yeh, Ming-Syan Chen:
Subsequence Matching of Stream Synopses under the Time Warping Distance. 354-361

Julien Ah-Pine:
Normalized Kernels as Similarity Indices. 362-373
Adam Woznica, Alexandros Kalousis, Melanie Hilario:
Adaptive Matching Based Kernels for Labelled Graphs. 374-385
Adam Woznica, Alexandros Kalousis:
A New Framework for Dissimilarity and Similarity Learning. 386-397
Weidong Yang, Hao Zhu:
Semantic-Distance Based Clustering for XML Keyword Search. 398-409

Leman Akoglu, Mary McGlohon, Christos Faloutsos:
oddball: Spotting Anomalies in Weighted Graphs. 410-421
Nguyen Lu Dang Khoa, Sanjay Chawla:
Robust Outlier Detection Using Commute Time and Eigenspace Embedding. 422-434
B. Aditya Prakash, Ashwin Sridharan, Mukund Seshadri, Sridhar Machiraju, Christos Faloutsos:
EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs. 435-448
Hanghang Tong, Spiros Papadimitriou, Christos Faloutsos, Philip S. Yu, Tina Eliassi-Rad:
BASSET: Scalable Gateway Finder in Large Graphs. 449-463

Qing Wang, Liang Zhang:
Ensemble Learning Based on Multi-Task Class Labels. 464-475
Eileen A. Ni, Charles X. Ling:
Supervised Learning with Minimal Effort. 476-487
T. Ryan Hoens, Nitesh V. Chawla:
Generating Diverse Ensembles to Counter the Problem of Class Imbalance. 488-499
Kuo-Wei Hsu, Jaideep Srivastava:
Relationship between Diversity and Correlation in Multi-Classifier Systems. 500-506
Bo Dai, Gang Niu:
Compact Margin Machine. 507-514

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