6. SDM 2006: Bethesda, MD, USA

Joydeep Ghosh, Diane Lambert, David B. Skillicorn, Jaideep Srivastava (Eds.): Proceedings of the Sixth SIAM International Conference on Data Mining, April 20-22, 2006, Bethesda, MD, USA. SIAM 2006, ISBN 0-89871-611-X

Theory

Alan Herschtal, Bhavani Raskutti, Peter K. Campbell:
Area Under ROC Optimisation using a Ramp Approximation.
Chih-Ming Hsu, Ming-Syan Chen:
On the Necessary and Sufficient Conditions of a Meaningful Distance Function for High Dimensional Data Space.
Jieping Ye, Tao Xiong, Ravi Janardan:
CPM: A Covariance-preserving Projection Method.
Edwin P. D. Pednault:
Transform Regression and the Kolmogorov Superposition Theorem.

Enterprise Applications

Indrajit Bhattacharya, Lise Getoor:
A Latent Dirichlet Model for Unsupervised Entity Resolution.
Sheng Zhang, James Ford, Fillia Makedon:
Deriving Private Information from Randomly Perturbed Ratings.
Christopher P. Diehl, Lise Getoor, Galileo Namata:
Name Reference Resolution in Organizational Email Archives.
Michael C. Burl, Dennis DeCoste, Brian L. Enke, Dominic Mazzoni, William J. Merline, Lucas Scharenbroich:
Automated Knowledge Discovery from Simulators.

Anomalies and Outliers

Pei Sun, Sanjay Chawla, Bavani Arunasalam:
Mining for Outliers in Sequential Databases.
Chao Liu, Xifeng Yan, Jiawei Han:
Mining Control Flow Abnormality for Logic Error Isolation.
György J. Simon, Hui Xiong, Eric Eilertson, Vipin Kumar:
Scan Detection: A Data Mining Approach.

Network Relations

Carsten Riggelsen:
Learning Bayesian Networks from Incomplete Data: An Efficient Method for Generating Approximate Predictive Distributions.
Facundo Bromberg, Dimitris Margaritis, Vasant Honavar:
Efficient Markov Network Structure Discovery using Independence Tests.
Souptik Datta, Chris Giannella, Hillol Kargupta:
K-Means Clustering Over a Large, Dynamic Network.

Prototype Generation

Benjamin J. Anderson, Deborah S. Gross, David R. Musicant, Anna M. Ritz, Thomas G. Smith, Leah E. Steinberg:
Adapting K-Medians to Generate Normalized Cluster Centers.
Hans-Peter Kriegel, Matthias Schubert:
Advanced Prototype Machines: Exploring Prototypes for Classification.
Andrea Tagarelli, Sergio Greco:
Toward Semantic XML Clustering. 188-199

Applications in Biology

Xiaohua Hu, Xiaodan Zhang, Illhoi Yoo, Yanqing Zhang:
A Semantic Approach for Mining Hidden Links from Complementary and Non-interactive Biomedical Literature.
Charu C. Aggarwal:
Representation is Everything: Towards Efficient and Adaptable Similarity Measures for Biological Data.
Sen Zhang, Jason Tsong-Li Wang:
Mining Frequent Agreement Subtrees in Phylogenetic Databases.

Clustering

Zhijie Chen, Weizhen Chen, Qile Chen, Mian-Yun Chen:
Trend Relational Analysis and Grey-Fuzzy Clustering Method.
Martin Ester, Rong Ge, Byron J. Gao, Zengjian Hu, Boaz Ben-Moshe:
Joint Cluster Analysis of Attribute Data and Relationship Data: the Connected k-Center Problem.
Muna Al-Razgan, Carlotta Domeniconi:
Weighted Clustering Ensembles.
Jerry Scripps, Pang-Ning Tan:
Clustering in the Presence of Bridge-Nodes.

Pattern Mining

Hongyan Liu, Jiawei Han, Dong Xin, Zheng Shao:
Mining Interesting Patterns from Very High Dimensional Data: A Top-Down Row Enumeration Approach.
Jianwei Li, Alok N. Choudhary, Nan Jiang, Wei-keng Liao:
Mining Frequent Patterns by Differential Refinement of Clustered Bitmaps.
Jin Soung Yoo, Shashi Shekhar, Sangho Kim, Mete Celik:
Discovery of Co-evoluting Spatial Co-located Event Sets.
Evimaria Terzi, Panayiotis Tsaparas:
Efficient Algorithms for Sequence Segmentation.

Temporal Data and Random Walks

Feng Cao, Martin Ester, Weining Qian, Aoying Zhou:
Density-Based Clustering over an Evolving Data Stream with Noise.
Yunpeng Xu, Xing Yi, Changshui Zhang:
A Random Walks Method for Text Classification.
Fosca Giannotti, Mirco Nanni, Dino Pedreschi:
Efficient Mining of Temporally Annotated Sequences.

Dimension Reduction and Coupling

Charu C. Aggarwal:
A Framework for Local Supervised Dimensionality Reduction of High Dimensional Data.
Ella Bingham, Aristides Gionis, Niina Haiminen, Heli Hiisilä, Heikki Mannila, Evimaria Terzi:
Segmentation and dimensionality reduction.
Juan K. Lin:
Probabilistic Multi-State Split-Merge Algorithm for Coupling Parameter Estimates.

Item Sets

Arno Siebes, Jilles Vreeken, Matthijs van Leeuwen:
Item Sets that Compress.
Jinze Liu, Susan Paulsen, Xing Sun, Wei Wang, Andrew B. Nobel, Jan Prins:
Mining Approximate Frequent Itemsets In the Presence of Noise: Algorithm and Analysis.
Claudio Lucchese, Salvatore Orlando, Raffaele Perego:
Mining frequent closed itemsets out-of-core.

Collaborative Mining

Ran Wolff, Kanishka Bhaduri, Hillol Kargupta:
Local L2-Thresholding Based Data Mining in Peer-to-Peer Systems.
Tak-Lam Wong, Wai Lam, Shing-Kit Chan:
Collaborative Information Extraction and Mining from Multiple Web Documents.
Khaled M. Hammouda, Mohamed S. Kamel:
Collaborative Document Clustering.

Byron J. Gao, Martin Ester:
Cluster Description Formats, Problems and Algorithms.
Guimei Liu, Jinyan Li, Limsoon Wong, Wynne Hsu:
Positive Borders or Negative Borders: How to Make Lossless Generator Based Representations Concise.
Max Welling, Kenichi Kurihara:
Bayesian K-Means as a "Maximization-Expectation" Algorithm.
Charu C. Aggarwal, Philip S. Yu:
A Framework for Clustering Massive Text and Categorical Data Streams.
Sei-Hyung Lee, Karen M. Daniels:
Cone Cluster Labeling for Support Vector Clustering.
Jing Gao, Pang-Ning Tan, Haibin Cheng:
Semi-Supervised Clustering with Partial Background Information.
Geetha Jagannathan, Krishnan Pillaipakkamnatt, Rebecca N. Wright:
A New Privacy-Preserving Distributed k-Clustering Algorithm.
Pedro Pereira Rodrigues, João Gama, João Pedro Pedroso:
ODAC: Hierarchical Clustering of Time Series Data Streams.
Keke Chen, Ling Liu:
Detecting the Change of Clustering Structure in Categorical Data Streams.
Matthew Eric Otey, Srinivasan Parthasarathy, Donald C. Trost:
Dissimilarity Measures for Detecting Hepatotoxicity in Clinical Trial Data.
Sreangsu Acharyya:
Transductive De-Noising and Dimensionality Reduction using Total Bregman Regression.
Yu Fujimoto, Noboru Murata:
Robust Estimation for Mixture of Probability Tables based on beta-likelihood.
Vikas C. Raykar, Ramani Duraiswami:
Fast optimal bandwidth selection for kernel density estimation.
Hisashi Kashima:
Risk-Sensitive Learning via Expected Shortfall Minimization.
Dongwei Cao, Daniel Boley:
On Approximate Solutions to Support Vector Machines.
Eugene Agichtein:
Confidence Estimation Methods for Partially Supervised Information Extraction.
Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook:
Inference of Node Replacement Recursive Graph Grammars.
Sheng Zhang, Weihong Wang, James Ford, Fillia Makedon:
Learning from Incomplete Ratings Using Non-negative Matrix Factorization.
Yi Fang, Hyun-Woo Cho, Myong Kee Jeong:
Health monitoring of a shaft transmission system via hybrid models of PCR and PLS.
Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming-Ting Sun:
Modeling Evolutionary Behaviors for Community-based Dynamic Recommendation.
Binyamin Rosenfeld, Ronen Feldman, Moshe Fresko:
A Systematic Cross-Comparison of Sequence Classifiers.
Saharon Rosset, Richard D. Lawrence:
Data-Enhanced Predictive Modeling for Sales Targeting.
Abraham Bagherjeiran, Chandrika Kamath:
Graph-based Methods for Orbit Classification.
Olfa Nasraoui, Suchandra Goswami:
Mining and Validating Localized Frequent Itemsets with Dynamic Tolerance.
Saikat Mukherjee, Chang Zhao, I. V. Ramakrishnan:
Profiling Protein Families from Partially Aligned Sequences.
Xin Chen, Yi-Fang Wu:
Personalized Knowledge Discovery: Mining Novel Association Rules from Text.
Jing Gao, Haibin Cheng, Pang-Ning Tan:
A Novel Framework for Incorporating Labeled Examples into Anomaly Detection.
Anthony J. Bonner, Han Liu:
Towards the Prediction of Protein Abundance from Tandem Mass Spectrometry Data.
Mehmet M. Dalkilic, Wyatt T. Clark, James C. Costello, Predrag Radivojac:
Using Compression to Identify Classes of Inauthentic Texts.
Amol Ghoting, Srinivasan Parthasarathy, Matthew Eric Otey:
Fast Mining of Distance-Based Outliers in High Dimensional Datasets.
Yufeng Kou, Chang-Tien Lu, Dechang Chen:
Spatial Weighted Outlier Detection.
Olfa Nasraoui, Carlos Rojas:
Robust Clustering for Tracking Noisy Evolving Data Streams.
Unil Yun, John J. Leggett:
WIP: mining Weighted Interesting Patterns with a strong weight and/or support affinity.
Mark Cheng-Enn Hsieh, Yi-Hung Wu, Arbee L. P. Chen:
Discovering Frequent Tree Patterns over Data Streams.
Yan Huang, Liqin Zhang, Pusheng Zhang:
Finding Sequential Patterns from a Massive Number of Spatio-Temporal Events.
Roger Ming Hieng Ting, James Bailey:
Mining Minimal Contrast Subgraph Patterns.

Last update Tue Feb 14 04:10:19 2012 CET by the DBLP Team —

Data released under the ODC-BY 1.0 license — See also our legal information page