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ORCID7th SDM 2007: Minneapolis, Minnesota, USA
- Proceedings of the Seventh SIAM International Conference on Data Mining, April 26-28, 2007, Minneapolis, Minnesota, USA. SIAM 2007, ISBN 978-0-89871-630-6
Long Papers
- Jing Gao, Wei Fan, Jiawei Han, Philip S. Yu:
A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions. 3-14 - Linyan Wang, Aijun An:
Fast Counting with AV-Space for Efficient Rule Induction. 15-26 - Henrik Boström:
Maximizing the Area under the ROC Curve with Decision Lists and Rule Sets. 27-34 - J. Saketha Nath, Chiranjib Bhattacharyya:
Maximum Margin Classifiers with Specified False Positive and False Negative Error Rates. 35-46 - Wei Jiang, Chris Clifton:
AC-Framework for Privacy-Preserving Collaboration. 47-56 - Charu C. Aggarwal, Philip S. Yu:
On Privacy-Preservation of Text and Sparse Binary Data with Sketches. 57-67 - Vitor R. Carvalho, William W. Cohen:
Preventing Information Leaks in Email. 68-77 - Keke Chen, Gordon Sun, Ling Liu:
Towards Attack-Resilient Geometric Data Perturbation. 78-89 - Hichem Frigui, Cheul Hwang:
Adaptive Concept Learning through Clustering and Aggregation of Relational Data. 90-101 - Arun Qamra, Edward Y. Chang:
RCMap: Efficiently Creating High-Quality Euclidean Embeddings. 102-112 - Ruizhang Huang, Wai Lam, Zhigang Zhang:
Active Learning of Constraints for Semi-supervised Text Clustering. 113-124 - Yi Wang, Shi-Xia Liu, Jianhua Feng, Lizhu Zhou:
Mining Naturally Smooth Evolution of Clusters from Dynamic Data. 125-134 - Marina Meila, William Pentney:
Clustering by weighted cuts in directed graphs. 135-144 - Arindam Banerjee, Sugato Basu, Srujana Merugu:
Multi-way Clustering on Relation Graphs. 145-156 - Fei Wang, Changshui Zhang:
Fast Multilevel Transduction on Graphs. 157-168 - Xin Yang, Sebastien Michea, Hongyuan Zha:
Conical Dimension as an Intrinsic Dimension Estimator and its Applications. 169-179 - Erion Plaku
, Lydia E. Kavraki:
Nonlinear Dimensionality Reduction using Approximate Nearest Neighbors. 180-191 - Charu C. Aggarwal:
On Point Sampling Versus Space Sampling for Dimensionality Reduction. 192-203 - Arindam Banerjee:
An Analysis of Logistic Models: Exponential Family Connections and Online Performance. 204-215 - Sandeep Pandey, Deepak Agarwal, Deepayan Chakrabarti, Vanja Josifovski:
Bandits for Taxonomies: A Model-based Approach. 216-227 - Noam Goldberg, Chung-chieh Shan:
Boosting Optimal Logical Patterns Using Noisy Data. 228-236 - Luc De Raedt, Albrecht Zimmermann:
Constraint-Based Pattern Set Mining. 237-248 - Xiaopeng Xi, Eamonn J. Keogh, Li Wei, Agenor Mafra-Neto:
Finding Motifs in a Database of Shapes. 249-260 - Huazhong Ning, Wei Xu, Yun Chi, Yihong Gong, Thomas S. Huang:
Incremental Spectral Clustering With Application to Monitoring of Evolving Blog Communities. 261-272 - Xiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonzalez:
ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets. 273-284 - Aristides Gionis, Evimaria Terzi:
Segmentations with Rearrangements. 285-296 - Jian Huang, Seyda Ertekin, Yang Song, Hongyuan Zha, C. Lee Giles:
Efficient Multiclass Boosting Classification with Active Learning. 297-308 - Hamed Valizadegan, Pang-Ning Tan:
Kernel Based Detection of Mislabeled Training Examples. 309-319 - Wei Fan, Ian Davidson:
On Sample Selection Bias and Its Efficient Correction via Model Averaging and Unlabeled Examples. 320-331 - Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherkassky:
Probabilistic Joint Feature Selection for Multi-task Learning. 332-342 - Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon:
Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem. 343-354 - Bernard N. Sheehan, Yousef Saad:
Higher Order Orthogonal Iteration of Tensors (HOOI) and its Relation to PCA and GLRAM. 355-365 - Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Faloutsos:
Less is More: Compact Matrix Decomposition for Large Sparse Graphs. 366-377 - Jun Yang, Yan Liu, Eric P. Xing, Alexander G. Hauptmann:
Harmonium Models for Semantic Video Representation and Classification. 378-389 - Claudia Perlich, Saharon Rosset:
Identifying Bundles of Product Options using Mutual Information Clustering. 390-397 - Yang Huang, Martin Farach-Colton:
Lattice based Clustering of Temporal Gene-Expression Matrices. 398-409
Short Papers
- Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Arthur Zimek:
Robust, Complete, and Efficient Correlation Clustering. 413-418 - Charu C. Aggarwal, Philip S. Yu:
On Anonymization of String Data. 419-424 - Yijian Bai, Haixun Wang, Carlo Zaniolo:
Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach. 425-430 - Arindam Banerjee, Sugato Basu:
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning. 431-436 - Michael Bertolacci, Anthony Wirth:
Are approximation algorithms for consensus clustering worthwhile?. 437-442 - Albert Bifet, Ricard Gavaldà:
Learning from Time-Changing Data with Adaptive Windowing. 443-448 - 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. 449-454 - Dongwei Cao, Daniel Boley:
A PAC Bound for Approximate Support Vector Machines. 455-460 - Haibin Cheng, Pang-Ning Tan, Rong Jin:
Localized Support Vector Machine and Its Efficient Algorithm. 461-466 - Dejing Dou, Jun Li, Han Qin, Shiwoong Kim, Sheng Zhong:
Understanding and Utilizing the Hierarchy of Abnormal BGP Events. 467-472 - Haimonti Dutta, Chris Giannella, Kirk D. Borne, Hillol Kargupta:
Distributed Top-K Outlier Detection from Astronomy Catalogs using the DEMAC System. 473-478 - Hichem Frigui, Joshua Caudill:
Mining Visual and Textual Data for Constructing a Multi-Modal Thesaurus. 479-484 - Khaled M. Hammouda, Mohamed S. Kamel:
HP2PC: Scalable Hierarchically-Distributed Peer-to-Peer Clustering. 485-490 - Qi He, Kuiyu Chang, Ee-Peng Lim, Jun Zhang:
Bursty Feature Representation for Clustering Text Streams. 491-496 - Bijit Hore, Ravi Chandra Jammalamadaka, Sharad Mehrotra:
Flexible Anonymization For Privacy Preserving Data Publishing: A Systematic Search Based Approach. 497-502 - Vagelis Hristidis, Oscar Valdivia, Michail Vlachos, Philip S. Yu:
A System for Keyword Search on Textual Streams. 503-508 - Tianming Hu, Hui Xiong, Sam Yuan Sung:
Co-Preserving Patterns in Bipartite Partitioning for Topic Identification. 509-514 - Tsuyoshi Idé, Koji Tsuda:
Change-Point Detection using Krylov Subspace Learning. 515-520 - Szymon Jaroszewicz, Marcin Korzen:
Approximating Representations for Large Numerical Databases. 521-526 - Hyunsoo Kim, Haesun Park, Hongyuan Zha:
Distance Preserving Dimension Reduction for Manifold Learning. 527-532 - Zhenzhen Kou, William W. Cohen:
Stacked Graphical Models for Efficient Inference in Markov Random Fields. 533-538 - Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang:
Summarizing Review Scores of "Unequal" Reviewers. 539-544 - Daniel Lemire:
A Better Alternative to Piecewise Linear Time Series Segmentation. 545-550 - Jure Leskovec, Mary McGlohon, Christos Faloutsos, Natalie S. Glance, Matthew Hurst:
Patterns of Cascading Behavior in Large Blog Graphs. 551-556 - Jinze Liu, Qi Zhang, Wei Wang, Leonard McMillan, Jan F. Prins:
PoClustering: Lossless Clustering of Dissimilarity Data. 557-562 - Aditya Krishna Menon, Gia Vinh Anh Pham, Sanjay Chawla, Anastasios Viglas:
An incremental data-stream sketch using sparse random projections. 563-568 - Olfa Nasraoui, Jeff Cerwinske, Carlos Rojas, Fabio A. González:
Performance of Recommendation Systems in Dynamic Streaming Environments. 569-574 - Byung-Won On, Dongwon Lee:
Scalable Name Disambiguation using Multi-level Graph Partition. 575-580 - Barna Saha, Pabitra Mitra:
Dynamic Algorithm for Graph Clustering Using Minimum Cut Tree. 581-586 - D. Sculley:
Rank Aggregation for Similar Items. 587-592 - Bin Zhou, Jian Pei:
Sketching Landscapes of Page Farms. 593-598 - György J. Simon, Vipin Kumar, Zhi-Li Zhang:
Estimating False Negatives for Classification Problems with Cluster Structure. 599-604 - Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal:
Discriminating Subsequence Discovery for Sequence Clustering. 605-610 - Dragomir Yankov, Eamonn J. Keogh, Li Wei, Xiaopeng Xi, Wendy L. Hodges:
Fast Best-Match Shape Searching in Rotation Invariant Metric Spaces. 611-616 - Ding Yuan, W. Nick Street:
HACS: Heuristic Algorithm for Clustering Subsets. 617-622 - Xiang Zhang, Wei Wang, Jun Huan:
On Demand Phenotype Ranking through Subspace Clustering. 623-628 - Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen:
Semi-Supervised Dimensionality Reduction. 629-634 - Chang Zhao, Jalal Mahmud, I. V. Ramakrishnan, Subramanyam Swaminathan:
Computing Statistical Profiles of Active Sites in Proteins. 635-640 - Zheng Zhao, Huan Liu:
Semi-supervised Feature Selection via Spectral Analysis. 641-646
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