8. 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 
- Message from the Conference Co-Chairs.
- Preface.
Constraint-Based Clustering
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
Feature Selection/Statistical Methods
Outliers/Privacy
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 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
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 P, 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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