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ORCID14. PAKDD 2010: Hyderabad, India
- Mohammed Javeed Zaki, Jeffrey Xu Yu, Balaraman Ravindran, Vikram Pudi:
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
Novel Applications
- 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
Feature Selection/Visualization
- 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 Wing Hing 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
Graph Mining
- 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
Clustering II
- 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
Opinion/Sentiment Mining
- 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, Truyen Tran, 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
Stream Mining
- 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 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
Similarity and Kernels
- 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
Graph Analysis
- 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
Classification II
- 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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