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.
- 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.
- Charu C. Aggarwal, Philip S. Yu: On Privacy-Preservation of Text and Sparse Binary Data with Sketches.
- Hichem Frigui, Cheul Hwang: Adaptive Concept Learning through Clustering and Aggregation of Relational Data.
- 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.
- 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.
- 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.
- Jian Huang, Seyda Ertekin, Yang Song, Hongyuan Zha, C. Lee Giles: Efficient Multiclass Boosting Classification with Active Learning.
- 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.
Short Papers
- Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek: Robust, Complete, and Efficient Correlation Clustering.
- 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?.
- 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.
- 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.
- 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.
- 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.
- D. Sculley: Rank Aggregation for Similar Items.
- 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.
- Chang Zhao, Jalal Mahmud, I. V. Ramakrishnan, Subramanyam Swaminathan: Computing Statistical Profiles of Active Sites in Proteins.
data released under the ODC-BY 1.0 license. See also our legal information page
last updated on 2013-06-18T214307 by the dblp team