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ORCID8th SDM 2008: Atlanta, Georgia, USA
- Proceedings of the SIAM International Conference on Data Mining, SDM 2008, April 24-26, 2008, Atlanta, Georgia, USA. SIAM 2008, ISBN 978-0-89871-654-2
Constraint-Based Clustering
- Fei Wang, Tao Li, Changshui Zhang:
Semi-Supervised Clustering via Matrix Factorization. 1-12 - Korinna Bade
, Andreas Nürnberger:
Creating a Cluster Hierarchy under Constraints of a Partially Known Hierarchy. 13-24 - Ruggero G. Pensa, Jean-François Boulicaut:
Constrained Co-clustering of Gene Expression Data. 25-36 - Loïc Cerf, Jérémy Besson, Céline Robardet, Jean-François Boulicaut:
Data Peeler: Contraint-Based Closed Pattern Mining in n-ary Relations. 37-48 - Sangkyum Kim, Xin Jin, Jiawei Han:
SpaRClus: Spatial Relationship Pattern-Based Hierarchial Clustering. 49-60
Pattern Mining
- Jeroen De Knijf:
Mining Tree Patterns with Almost Smallest Supertrees. 61-71 - Jinyan Li, Kelvin Sim, Guimei Liu, Limsoon Wong:
Maximal Quasi-Bicliques with Balanced Noise Tolerance: Concepts and Co-clustering Applications. 72-83 - Ding Yuan, Kyuhyung Lee, Hong Cheng, Gopal Krishna, Zhenmin Li, Xiao Ma, Yuanyuan Zhou, Jiawei Han:
CISpan: Comprehensive Incremental Mining Algorithms of Closed Sequential Patterns for Multi-Versional Software Mining. 84-95 - Bart Goethals, Wim Le Page, Heikki Mannila:
Mining Association Rules of Simple Conjunctive Queries. 96-107 - Arne Koopman, Arno Siebes:
Discovering Relational Items Sets Efficiently. 108-119
Classification/Regression
- Shuang-Hong Yang, Bao-Gang Hu:
A Stagewise Least Square Loss Function for Classification. 120-131 - Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, Christos Faloutsos:
Semi-Supervised Learning Based on Semiparametric Regularization. 132-142 - Shohei Hido, Hisashi Kashima:
Roughly Balanced Bagging for Imbalanced Data. 143-152 - Kanishka Bhaduri, Hillol Kargupta:
An Efficient Local Algorithm for Distributed Multivariate Regression in Peer-to-Peer Networks. 153-164 - Zhuang Wang, Vladan Radosavljevic, Bo Han, Zoran Obradovic:
Aerosol Optical Depth Prediction from Satellite Obsercations by Multiple Instance Regression. 165-176
Feature Selection/Statistical Methods
- Julien Prados, Alexandros Kalousis, Melanie Hilario:
Feature Selection with the logRatio Kernel. 177-187 - Yijun Sun, Dapeng Wu:
A RELIEF Based Feature Extraction Algorithm. 188-195 - Max Welling, Chaitanya Chemudugunta, Nathan Sutter:
Deterministic Latent Variable Models and Their Pitfalls. 196-207 - Ryan Riegel, Alexander G. Gray, Gordon Richards:
Massive-Scale Kernel Discriminant Analysis: Mining for Quasars. 208-218 - Amr Ahmed, Eric P. Xing:
Dynamic Non-Parametric Mixture Models and the Recurrent Chinese Restaurant Process: with Applications to Evolutionary Clustering. 219-230
Outliers/Privacy
- Shunsuke Hirose, Kenji Yamanishi:
Latent Variable Mining with Its Applications to Anomalous Behavior Detection. 231-242 - Shyam Boriah, Varun Chandola, Vipin Kumar:
Similarity Measures for Categorical Data: A Comparative Evaluation. 243-254 - Jian Zhang, Phillip A. Porras, Johannes Ullrich:
Gaussian Process Learning for Cyber-Attack Early Warning. 255-264 - Yitao Duan, John F. Canny:
Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining. 265-276 - Bin Zhou, Jian Pei, ZhaoHui Tang:
A Spamicity Approach to Web Spam Detection. 277-288
Poster Session
- Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu:
Semantic Smoothing for Bayesian Text Classification with Small Training Data. 289-300 - Ari Freund, Dan Pelleg, Yossi Richter:
Clustering from Constraint Graphs. 301-312 - Chun Li, Jianyong Wang:
Efficiently Mining Closed Subsequences with Gap Constraints. 313-322 - Dan Zhang, Jingdong Wang, Fei Wang, Changshui Zhang:
Semi-Supervised Classification with Universum. 323-333 - Arianna Gallo, Pauli Miettinen, Heikki Mannila:
Finding Subgroups having Several Descriptions: Algorithms for Redescription Mining. 334-345 - Cristobald de Kerchove, Paul Van Dooren:
The PageTrust Algorithm: How to rank web pages when negative links are allowed? 346-352 - Dietmar H. Dorr, Anne Denton:
A pattern mining approach toward discovering generalized sequence signatures. 353-362 - Lexiang Ye, Xiaoyue Wang, Dragomir Yankov, Eamonn J. Keogh:
The Asymmetric Approximate Anytime Join: A New Primitive with Applications to Data Mining. 363-374 - Shuguo Han, Wee Keong Ng:
Preemptive Measures against Malicious Party in Privacy-Preserving Data Mining. 375-386 - Kentarou Kido, Hiroshi Kuwajima, Takashi Washio:
A Range Query Approach for High Dimensional Euclidean Space Based on EDM Estimation. 387-398 - Byron Dom, Deepa Paranjpe:
A Bayesian Technique for Estimating the Credibility of question Answerers. 399-409 - Gang Chen, Yangqiu Song, Fei Wang, Changshui Zhang:
Semi-supervised Multi-label Learning by Solving a Sylvester Equation. 410-419 - Chang Zhao, Jalal Mahmud, I. V. Ramakrishnan:
Exploiting Structured Reference Data for Unsupervised Text Segmentation with Conditional Random Fields. 420-431 - Koji Tsuda, Kenichi Kurihara:
Graph Mining with Variational Dirichlet Process Mixture Models. 432-442 - Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama:
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. 443-454 - M. Maruf Hossain, Md. Rafiul Hassan, James Bailey:
ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data. 455-465 - Avleen Singh Bijral, Manuel E. Lladser, Gregory Z. Grudic:
Semi-supervised Learning of a Markovian Metric. 466-471 - Ryohei Fujimaki, Takayuki Nakata, Hidenori Tsukahara, Akinori Sato:
Mining Abnormal Patterns from Heterogeneous Time-Series with Irrelevant Features for Fault Event Detection. 472-482 - Charu C. Aggarwal, Philip S. Yu:
Outlier Detection with Uncertain Data. 483-493 - Markus Ojala, Niko Vuokko, Aleksi Kallio, Niina Haiminen, Heikki Mannila:
Randomization of real-valued matrices for assessing the significance of data mining results. 494-505 - Ryohei Fujimaki, Shunsuke Hirose, Takayuki Nakata:
Theorectical Analysis of Subsequence Time-Series Clustering from a Frequency-Analysis Viewpoint. 506-517 - Masashi Sugiyama, Neil Rubens:
Active Learning with Model Selection in Linear Regression. 518-529 - Yijun Sun, Sinisa Todorovic, Steve Goodison:
A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality. 530-540 - Niklas Lavesson, Paul Davidsson:
Generic Methods for Multi-criteria Evaluation. 541-546 - Norman S. Matloff:
A New Method for Rule Finding Via Bootstrapped Confidence Intervals. 547-552 - David Lo, Siau-Cheng Khoo, Jinyan Li:
Mining and Ranking Generators of Sequential Patterns. 553-564 - Jiangtao Ren, Xiaoxiao Shi, Wei Fan, Philip S. Yu:
Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing. 565-576 - Dino Ienco, Rosa Meo:
Exploration and Reduction of the Feature Space by Hierarchical Clustering. 577-587 - R. Bharat Rao, Glenn Fung:
On the Dangers of Cross-Validation. An Experimental Evaluation. 588-596 - Florian Verhein:
Mining Complex, Maximal and Complete Sub-graph and Sets of Correlated Variables with Applications to Feature Subset Selection. 597-608 - Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic:
Spatio-Temporal Partitioning for Improving Aerosol Prediction Accuracy. 609-620 - Charu C. Aggarwal, Philip S. Yu:
On Indexing High Demensional Data with Uncertainty. 621-631 - Yasushi Sakurai, Rosalynn Chong, Lei Li, Christos Faloutsos:
Efficient Distribution Mining and Classification. 632-643 - Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. Yu:
Mining Sequence Classifiers for Early Prediction. 644-655 - Jessica Lin, David Etter, David DeBarr:
Exact and Approximate Reverse Nearest Neighbor Search for Multimedia Data. 656-667 - Ying Liu, Lucian Vlad Lita, Radu Stefan Niculescu, Prasenjit Mitra, C. Lee Giles:
Finding a Haystack in Haystacks - Simultaneous Identification of Concepts in Large Bio-Medical Corpora. 668-679 - Parichey Gandhi, Facundo Bromberg, Dimitris Margaritis:
Learning Markov Network Structure using Few Independence Tests. 680-691
Graphs/Networks
- Hans-Peter Kriegel, Matthias Renz, Matthias Schubert, Andreas Züfle:
Statistical Density Prediction in Traffic Networks. 692-703 - Hanghang Tong, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos:
Proximity Tracking on Time-Evolving Bipartite Graphs. 704-715 - Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama:
Integration of Multiple Networks for Robust Label Propagation. 716-726 - Bei Wang, Jeff M. Phillips, Robert Schreiber, Dennis M. Wilkinson:
Spatial Scan Statistics for Graph Clustering. 727-738 - Xiaowei Ying, Xintao Wu:
Randomizing Social Networks: a Spectrum Preserving Approach. 739-750
Clustering
- Bin Zhao, Fei Wang, Changshui Zhang:
Efficient Maximum Margin Clustering via Cutting Plane Algorithm. 751-762 - Elke Achtert, Christian Böhm, Jörn David, Peer Kröger, Arthur Zimek:
Robust Clustering in Arbitrarily Oriented Subspaces. 763-774 - Michael E. Houle:
The Relevant-set Correlation Model for Data Clustering. 775-786 - Xiaoli Z. Fern, Wei Lin:
Cluster Ensemble Selection. 787-797 - Tao Li, Chris H. Q. Ding:
Weighted Consensus Clustering. 798-809
Unsupervised Learning
- Irene Ntoutsi, Alexandros Kalousis, Yannis Theodoridis:
A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees. 810-821 - Bo Long, Philip S. Yu, Zhongfei (Mark) Zhang:
A General Model for Multiple View Unsupervised Learning. 822-833 - Krishna Kummamuru, Deepak Padmanabhan, Shourya Roy, L. Venkata Subramaniam:
Unsupervised Segmentation of Conversational Transcripts. 834-845 - Omid Madani, Michael Connor:
Large-Scale Many-Class Learning. 846-857 - Prateek Jain, Raghu Meka, Inderjit S. Dhillon:
Simultaneous Unsupervised Learning of Disparate Clusterings. 858-869
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