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 BibTeX

Long Papers

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

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