7. SDM 2007: Minneapolis, Minnesota, USA

Proceedings of the Seventh SIAM International Conference on Data Mining, April 26-28, 2007, Minneapolis, Minnesota, USA. SIAM 2007

Long Papers

Jing Gao, Wei Fan, Jiawei Han, Philip S. Yu:
A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions.
Linyan Wang, Aijun An:
Fast Counting with AV-Space for Efficient Rule Induction.
Henrik Boström:
Maximizing the Area under the ROC Curve with Decision Lists and Rule Sets.
J. Saketha Nath, Chiranjib Bhattacharyya:
Maximum Margin Classifiers with Specified False Positive and False Negative Error Rates.
Wei Jiang, Chris Clifton:
AC-Framework for Privacy-Preserving Collaboration.
Charu C. Aggarwal, Philip S. Yu:
On Privacy-Preservation of Text and Sparse Binary Data with Sketches.
Vitor R. Carvalho, William W. Cohen:
Preventing Information Leaks in Email.
Keke Chen, Gordon Sun, Ling Liu:
Towards Attack-Resilient Geometric Data Perturbation.
Hichem Frigui, Cheul Hwang:
Adaptive Concept Learning through Clustering and Aggregation of Relational Data.
Arun Qamra, Edward Y. Chang:
RCMap: Efficiently Creating High-Quality Euclidean Embeddings.
Ruizhang Huang, Wai Lam, Zhigang Zhang:
Active Learning of Constraints for Semi-supervised Text Clustering.
Yi Wang, Shi-Xia Liu, Jianhua Feng, Lizhu Zhou:
Mining Naturally Smooth Evolution of Clusters from Dynamic Data.
Marina Meila, William Pentney:
Clustering by weighted cuts in directed graphs.
Arindam Banerjee, Sugato Basu, Srujana Merugu:
Multi-way Clustering on Relation Graphs.
Fei Wang, Changshui Zhang:
Fast Multilevel Transduction on Graphs.
Xin Yang, Sebastien Michea, Hongyuan Zha:
Conical Dimension as an Intrinsic Dimension Estimator and its Applications.
Erion Plaku, Lydia E. Kavraki:
Nonlinear Dimensionality Reduction using Approximate Nearest Neighbors.
Charu C. Aggarwal:
On Point Sampling Versus Space Sampling for Dimensionality Reduction.
Arindam Banerjee:
An Analysis of Logistic Models: Exponential Family Connections and Online Performance.
Sandeep Pandey, Deepak Agarwal, Deepayan Chakrabarti, Vanja Josifovski:
Bandits for Taxonomies: A Model-based Approach.
Noam Goldberg, Chung-chieh Shan:
Boosting Optimal Logical Patterns Using Noisy Data.
Luc De Raedt, Albrecht Zimmermann:
Constraint-Based Pattern Set Mining.
Xiaopeng Xi, Eamonn J. Keogh, Li Wei, Agenor Mafra-Neto:
Finding Motifs in a Database of Shapes.
Huazhong Ning, Wei Xu, Yun Chi, Yihong Gong, Thomas S. Huang:
Incremental Spectral Clustering With Application to Monitoring of Evolving Blog Communities.
Xiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonzalez:
ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets.
Aristides Gionis, Evimaria Terzi:
Segmentations with Rearrangements.
Jian Huang, Seyda Ertekin, Yang Song, Hongyuan Zha, C. Lee Giles:
Efficient Multiclass Boosting Classification with Active Learning.
Hamed Valizadegan, Pang-Ning Tan:
Kernel Based Detection of Mislabeled Training Examples.
Wei Fan, Ian Davidson:
On Sample Selection Bias and Its Efficient Correction via Model Averaging and Unlabeled Examples.
Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherkassky:
Probabilistic Joint Feature Selection for Multi-task Learning.
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon:
Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem.
Bernard N. Sheehan, Yousef Saad:
Higher Order Orthogonal Iteration of Tensors (HOOI) and its Relation to PCA and GLRAM.
Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Faloutsos:
Less is More: Compact Matrix Decomposition for Large Sparse Graphs.
Jun Yang, Yan Liu, Eric P. Xing, Alexander G. Hauptmann:
Harmonium Models for Semantic Video Representation and Classification.
Claudia Perlich, Saharon Rosset:
Identifying Bundles of Product Options using Mutual Information Clustering.
Yang Huang, Martin Farach-Colton:
Lattice based Clustering of Temporal Gene-Expression Matrices.

Short Papers

Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek:
Robust, Complete, and Efficient Correlation Clustering.
Charu C. Aggarwal, Philip S. Yu:
On Anonymization of String Data.
Yijian Bai, Haixun Wang, Carlo Zaniolo:
Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach.
Arindam Banerjee, Sugato Basu:
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning.
Michael Bertolacci, Anthony Wirth:
Are approximation algorithms for consensus clustering worthwhile?.
Albert Bifet, Ricard Gavaldà:
Learning from Time-Changing Data with Adaptive Windowing.
Yingyi Bu, Oscar Tat-Wing Leung, Ada Wai-Chee Fu, Eamonn J. Keogh, Jian Pei, Sam Meshkin:
WAT: Finding Top-K Discords in Time Series Database.
Dongwei Cao, Daniel Boley:
A PAC Bound for Approximate Support Vector Machines.
Haibin Cheng, Pang-Ning Tan, Rong Jin:
Localized Support Vector Machine and Its Efficient Algorithm.
Dejing Dou, Jun Li, Han Qin, Shiwoong Kim, Sheng Zhong:
Understanding and Utilizing the Hierarchy of Abnormal BGP Events.
Haimonti Dutta, Chris Giannella, Kirk D. Borne, Hillol Kargupta:
Distributed Top-K Outlier Detection from Astronomy Catalogs using the DEMAC System.
Hichem Frigui, Joshua Caudill:
Mining Visual and Textual Data for Constructing a Multi-Modal Thesaurus.
Khaled M. Hammouda, Mohamed S. Kamel:
HP2PC: Scalable Hierarchically-Distributed Peer-to-Peer Clustering.
Qi He, Kuiyu Chang, Ee-Peng Lim, Jun Zhang:
Bursty Feature Representation for Clustering Text Streams.
Bijit Hore, Ravi Chandra Jammalamadaka, Sharad Mehrotra:
Flexible Anonymization For Privacy Preserving Data Publishing: A Systematic Search Based Approach.
Vagelis Hristidis, Oscar Valdivia, Michail Vlachos, Philip S. Yu:
A System for Keyword Search on Textual Streams.
Tianming Hu, Hui Xiong, Sam Yuan Sung:
Co-Preserving Patterns in Bipartite Partitioning for Topic Identification.
Tsuyoshi Idé, Koji Tsuda:
Change-Point Detection using Krylov Subspace Learning.
Szymon Jaroszewicz, Marcin Korzen:
Approximating Representations for Large Numerical Databases.
Hyunsoo Kim, Haesun Park, Hongyuan Zha:
Distance Preserving Dimension Reduction for Manifold Learning.
Zhenzhen Kou, William W. Cohen:
Stacked Graphical Models for Efficient Inference in Markov Random Fields.
Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang:
Summarizing Review Scores of "Unequal" Reviewers.
Daniel Lemire:
A Better Alternative to Piecewise Linear Time Series Segmentation.
Jure Leskovec, Mary McGlohon, Christos Faloutsos, Natalie S. Glance, Matthew Hurst:
Patterns of Cascading Behavior in Large Blog Graphs.
Jinze Liu, Qi Zhang, Wei Wang, Leonard McMillan, Jan Prins:
PoClustering: Lossless Clustering of Dissimilarity Data.
Aditya Krishna Menon, Gia Vinh Anh Pham, Sanjay Chawla, Anastasios Viglas:
An incremental data-stream sketch using sparse random projections.
Olfa Nasraoui, Jeff Cerwinske, Carlos Rojas, Fabio A. González:
Performance of Recommendation Systems in Dynamic Streaming Environments.
Byung-Won On, Dongwon Lee:
Scalable Name Disambiguation using Multi-level Graph Partition.
Barna Saha, Pabitra Mitra:
Dynamic Algorithm for Graph Clustering Using Minimum Cut Tree.
D. Sculley:
Rank Aggregation for Similar Items.
Bin Zhou, Jian Pei:
Sketching Landscapes of Page Farms.
György J. Simon, Vipin Kumar, Zhi-Li Zhang:
Estimating False Negatives for Classification Problems with Cluster Structure.
Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal:
Discriminating Subsequence Discovery for Sequence Clustering.
Dragomir Yankov, Eamonn J. Keogh, Li Wei, Xiaopeng Xi, Wendy L. Hodges:
Fast Best-Match Shape Searching in Rotation Invariant Metric Spaces.
Ding Yuan, W. Nick Street:
HACS: Heuristic Algorithm for Clustering Subsets.
Xiang Zhang, Wei Wang, Jun Huan:
On Demand Phenotype Ranking through Subspace Clustering.
Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen:
Semi-Supervised Dimensionality Reduction.
Chang Zhao, Jalal Mahmud, I. V. Ramakrishnan, Subramanyam Swaminathan:
Computing Statistical Profiles of Active Sites in Proteins.
Zheng Zhao, Huan Liu:
Semi-supervised Feature Selection via Spectral Analysis.