10. SDM 2010:
Columbus, Ohio, USA
Proceedings of the SIAM International Conference on Data Mining, SDM 2010, April 29 - May 1, 2010, Columbus, Ohio, USA.
SIAM 2010 
- Message from the Conference Co-Chairs and Acknowledgments.
Session S1:
Text Mining
- Syed Fawad Hussain, Gilles Bisson:
Text Categorization Using Word Similarities Based on Higher Order Co-occurrences.
1-12
- Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi:
Exploiting Associations between Word Clusters and Document Classes for Cross-Domain Text Categorization.
13-24
- Pavel P. Kuksa, Yanjun Qi:
Semi-supervised Bio-named Entity Recognition with Word-Codebook Learning.
25-36
- Muhammad Asiful Islam, Faisal Ahmed, Yevgen Borodin, Jalal Mahmud, I. V. Ramakrishnan:
Improving Accessibility of Transaction-centric Web Objects.
37-48
Session S2:
Privacy and Trust
- Niko Vuokko, Evimaria Terzi:
Reconstructing Randomized Social Networks.
49-59
- Leting Wu, Xiaowei Ying, Xintao Wu:
Reconstruction from Randomized Graph via Low Rank Approximation.
60-71
- Viet-An Nguyen, Ee-Peng Lim, Hwee-Hoon Tan, Jing Jiang, Aixin Sun:
Do You Trust to Get Trust? A Study of Trust Reciprocity Behaviors and Reciprocal Trust Prediction.
72-83
- Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong:
Publishing Skewed Sensitive Microdata.
84-93
Session S3:
Clustering
Session S4:
Pattern Mining
Session S5:
Recommendation
Session S6:
Support Vector Machines
Session S7:
Supervised Learning
Session S8:
Spatial-Temporal Pattern Mining
Session S9: Uncertainty in Data Mining
Session S10:
Clustering and Outlier Detection
- Brian Delaney, Andrew S. Fast, William M. Campbell, Clifford J. Weinstein, David D. Jensen:
The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity.
409-417
- Yu-Ru Lin, Jimeng Sun, Nan Cao, Shixia Liu:
ContexTour: Contextual Contour Analysis on Dynamic Multi-relational Clustering.
418-429
- Ou Wu, Jun Gao, Weiming Hu, Bing Li, Mingliang Zhu:
Indentifying Multi-instance Outliers.
430-441
- Kelvin Sim, Ardian Kristanto Poernomo, Vivekanand Gopalkrishnan:
Mining Actionable Subspace Clusters in Sequential Data.
442-453
Session S11:
Graph Mining
Session S12:
Feature Learning and Prediction
- Jaegul Choo, Chandan K. Reddy, Hanseung Lee, Haesun Park:
p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual Analytics.
502-513
- Marie desJardins, James MacGlashan, Kiri L. Wagstaff:
Confidence-Based Feature Acquisition to Minimize Training and Test Costs.
514-524
- Jingrui He, Jaime G. Carbonell:
Co-selection of Features and Instances for Unsupervised Rare Category Analysis.
525-536
- Abhimanyu Lad, Yiming Yang:
Active Ordering of Interactive Prediction Tasks.
537-547
- U. Kang, Charalampos E. Tsourakakis, Ana Paula Appel, Christos Faloutsos, Jure Leskovec:
Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations.
548-558
Session S13:
Mining Large Graphs
- Jérôme Kunegis, Stephan Schmidt, Andreas Lommatzsch, Jürgen Lerner, Ernesto William De Luca, Sahin Albayrak:
Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization.
559-
- Pei Li, Hongyan Liu, Jeffrey Xu Yu, Jun He, Xiaoyong Du:
Fast Single-Pair SimRank Computation.
571-582
- TaeHyun Hwang, Rui Kuang:
A Heterogeneous Label Propagation Algorithm for Disease Gene Discovery.
583-594
- Masashi Sugiyama, Satoshi Hara, Paul von Bünau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe:
Direct Density Ratio Estimation with Dimensionality Reduction.
595-606
Session S14:
Feature Selection
- Charu C. Aggarwal:
The Generalized Dimensionality Reduction Problem.
607-618
- Mahdokht Masaeli, Yan Yan, Ying Cui, Glenn Fung, Jennifer G. Dy:
Convex Principal Feature Selection.
619-628
- Wei Fan, ErHeng Zhong, Jing Peng, Olivier Verscheure, Kun Zhang, Jiangtao Ren, Rong Yan, Qiang Yang:
Generalized and Heuristic-Free Feature Construction for Improved Accuracy.
629-640
Session S15:
Time Series
Session S16:
Tensors
Session S17:
Social Network Mining
- Zhen Wen, Ching-Yung Lin:
Towards Finding Valuable Topics.
720-731
- Yossi Richter, Elad Yom-Tov, Noam Slonim:
Predicting Customer Churn in Mobile Networks through Analysis of Social Groups.
732-741
- Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, Rong Jin:
Directed Network Community Detection: A Popularity and Productivity Link Model.
742-753
- Keith Henderson, Tina Eliassi-Rad, Spiros Papadimitriou, Christos Faloutsos:
HCDF: A Hybrid Community Discovery Framework.
754-765
Session S18:
Classification
- Wei Liu, Sanjay Chawla, David A. Cieslak, Nitesh V. Chawla:
A Robust Decision Tree Algorithm for Imbalanced Data Sets.
766-777
- Xiatian Zhang, Quan Yuan, Shiwan Zhao, Wei Fan, Wentao Zheng, Zhong Wang:
Multi-label Classification without the Multi-label Cost.
778-789
- Rong She, Jeffrey Shih-Chieh Chu, Ke Wang, Nansheng Chen:
Fast and Accurate Gene Prediction by Decision Tree Classification.
790-801
- Charu C. Aggarwal, Philip S. Yu:
On Classification of High-Cardinality Data Streams.
802-813
Session S19:
Classification and Applications
- Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip S. Yu:
Predictive Modeling with Heterogeneous Sources.
814-825
- Pinar Donmez, Jaime G. Carbonell, Jeff G. Schneider:
A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy.
826-837
- Zheng Zhao, Jiangxin Wang, Shashvata Sharma, Nitin Agarwal, Huan Liu, Yung Chang:
An Integrative Approach to Indentifying Biologically Relevant Genes.
838-849
- Bilson J. L. Campana, Eamonn J. Keogh:
A Compression Based Distance Measure for Texture.
850-861
Session S20:
Machine Learning
Session S21:
Potpourri
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