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ORCID9th SDM 2009: Sparks, Nevada, USA
- Proceedings of the SIAM International Conference on Data Mining, SDM 2009, April 30 - May 2, 2009, Sparks, Nevada, USA. SIAM 2009, ISBN 978-0-89871-682-5
Session S1: Clustering
- Xin Jin, Sangkyum Kim, Jiawei Han, Liangliang Cao, Zhijun Yin:
GAD: General Activity Detection for Fast Clustering on Large Data. 2-13 - Andrej Taliun, Michael H. Böhlen, Arturas Mazeika:
CORE: Nonparametric Clustering of Large Numeric Databases. 14-25 - Élisa Fromont, Adriana Prado, Céline Robardet:
Constraint-Based Subspace Clustering. 26-37 - Fei Wang, Chris H. Q. Ding, Tao Li:
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations. 38-48 - Xinhai Liu, Shi Yu, Yves Moreau, Bart De Moor, Wolfgang Glänzel, Frizo A. L. Janssens:
Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets. 49-60
Session S2: Time Series
- Dan Preston, Pavlos Protopapas, Carla E. Brodley:
Event Discovery in Time Series. 61-72 - Nishant A. Mehta, Alexander G. Gray:
FuncICA for Time Series Pattern Discovery. 73-84 - Lexiang Ye, Xiaoyue Wang, Eamonn J. Keogh, Agenor Mafra-Neto:
Autocannibalistic and Anyspace Indexing Algorithms with Application to Sensor Data Mining. 85-96 - Tsuyoshi Idé
, Aurélie C. Lozano, Naoki Abe, Yan Liu:
Proximity-Based Anomaly Detection Using Sparse Structure Learning. 97-108 - Michail Vlachos, Suleyman Serdar Kozat, Philip S. Yu:
Optimal Distance Bounds on Time-Series Data. 109-120
Session S3: Statistical Methods and Applications
- Markus Müller, Christoph Schlieder, Axel Blumenstock:
Application of Bayesian Partition Models in Warranty Data Analysis. 121-132 - Martin Renqiang Min, Rui Kuang, Anthony J. Bonner, Zhaolei Zhang:
Learning Random-Walk Kernels for Protein Remote Homology Identification and Motif Discovery. 133-144 - Xingwei Yang, Longin Jan Latecki, Dragoljub Pokrajac:
Outlier Detection with Globally Optimal Exemplar-Based GMM. 145-154 - Jingrui He, Jaime G. Carbonell:
Prior-Free Rare Category Detection. 155-163 - Jianqiang Shen, Thomas G. Dietterich:
A Family of Large Margin Linear Classifiers and Its Application in Dynamic Environments. 164-172
Session S4: Unsupervised Learning and Clustering
- Emmanuel Müller, Ira Assent, Ralph Krieger, Stephan Günnemann, Thomas Seidl:
DensEst: Density Estimation for Data Mining in High Dimensional Spaces. 175-186 - Varun Chandola, Shyam Boriah, Vipin Kumar:
A Framework for Exploring Categorical Data. 187-198 - Faris Alqadah, Raj Bhatnagar:
Discovering Substantial Distinctions among Incremental Bi-Clusters. 199-210 - Hongjun Wang, Hanhuai Shan, Arindam Banerjee:
Bayesian Cluster Ensembles. 211-222 - Xiaotong Yuan, Bao-Gang Hu, Ran He:
Agglomerative Mean-Shift Clustering via Query Set Compression. 223-234
Session S5: Data Stream Mining
- Anton Dries, Ulrich Rückert:
Adaptive Concept Drift Detection. 235-246 - Kamalika Das, Kanishka Bhaduri, Sugandha Arora, Wesley Griffin, Kirk D. Borne, Chris Giannella, Hillol Kargupta:
Scalable Distributed Change Detection from Astronomy Data Streams Using Local, Asynchronous Eigen Monitoring Algorithms. 247-258 - Xiaoli Li, Philip S. Yu, Bing Liu, See-Kiong Ng:
Positive Unlabeled Learning for Data Stream Classification. 259-270 - Graham Cormode, Srikanta Tirthapura, Bojian Xu:
Time-Decayed Correlated Aggregates over Data Streams. 271-282 - Oksana Yakhnenko, Vasant G. Honavar:
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence. 283-293
Poster Spotlights
- Silvia Chiappa, Hiroto Saigo, Koji Tsuda:
A Bayesian Approach to Graphy Regression with Relevant Subgraph Selection. 295-304 - Alexandre Plastino, Erick R. Fonseca, Richard Fuchshuber, Simone L. Martins, Alex Alves Freitas, Martino Luis, Saïd Salhi:
A Hybrid Data Mining Metaheuristic for the p-Median Problem. 305-316 - Boris Cule, Bart Goethals, Céline Robardet:
A New Constraint for Mining Sets in Sequences. 317-328 - Frederik Janssen, Johannes Fürnkranz:
A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning. 329-340 - Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong:
A Semi-Supervised Framework for Feature Mapping and Multiclass Classification. 341-352 - Brian Quanz, Jun Huan:
Aligned Graph Classification with Regularized Logistic Regression. 353-364 - Michael L. Wick, Aron Culotta, Khashayar Rohanimanesh, Andrew McCallum:
An Entity Based Model for Coreference Resolution. 365-376 - Sampath Kameshwaran, Sameep Mehta, Vinayaka Pandit, Gyana R. Parija, Sudhanshu Singh, Nukala Viswanadham:
Analyses for Service Interaction Networks with Applications to Service Delivery. 377-388 - Yoshinobu Kawahara, Masashi Sugiyama:
Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation. 389-400 - R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aalst:
Context Aware Trace Clustering: Towards Improving Process Mining Results. 401-412 - Haibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster:
Detection and Characterization of Anomalies in Multivariate Time Series. 413-424 - Wei Ding, Tomasz F. Stepinski, Josue Salazar:
Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets. 425-436 - Francesco Gullo, Andrea Tagarelli, Sergio Greco:
Diversity-Based Weighting Schemes for Clustering Ensembles. 437-448 - Jie Chen, Yousef Saad:
Divide and Conquer Strategies for Effective Information Retrieval. 449-460 - K. Zhai, W. K. Ng, A. R. Herianto, S. Han:
Speeding Up Secure Computations via Embedded Caching. 461-472 - Abdullah Mueen, Eamonn J. Keogh, Qiang Zhu, Sydney Cash, M. Brandon Westover:
Exact Discovery of Time Series Motifs. 473-484 - Gerhard Paaß, Frank Reichartz:
Exploiting Semantic Constraints for Estimating Supersenses with CRFs. 485-496 - Shaoyi Zhang, M. Maruf Hossain, Md. Rafiul Hassan, James Bailey, Kotagiri Ramamohanarao:
Feature Weighted SVMs Using Receiver Operating Characteristics. 497-508 - Panagis Magdalinos, Christos Doulkeridis, Michalis Vazirgiannis:
FEDRA: A Fast and Efficient Dimensionality Reduction Algorithm. 509-520 - Warren L. Davis IV, Peter M. Schwarz, Evimaria Terzi:
Finding Representative Association Rules from Large Rule Collections. 521-532 - Hassan Sayyadi, Lise Getoor:
FutureRank: Ranking Scientific Articles by Predicting their Future PageRank. 533-544 - Kun Liu, Evimaria Terzi, Tyrone Grandison:
Highlighting Diverse Concepts in Documents. 545-556 - Snehal Pokharkar, Chandan K. Reddy:
Identifying Information-Rich Subspace Trends in High-Dimensional Data. 557-568 - Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, Heikki Mannila:
Low-Entropy Set Selection. 569-580 - Dino Pedreschi, Salvatore Ruggieri, Franco Turini:
Measuring Discrimination in Socially-Sensitive Decision Records. 581-592 - Flavia Moser, Recep Colak, Arash Rafiey, Martin Ester:
Mining Cohesive Patterns from Graphs with Feature Vectors. 593-604 - Florian Verhein:
Mining Complex Spatio-Temporal Sequence Patterns. 605-616 - Paul Whitney, Dave Engel, Nick Cramer:
Mining for Surprise Events Within Text Streams. 617-627 - Konstantin Salomatin, Yiming Yang, Abhimanyu Lad:
Multi-field Correlated Topic Modeling. 628-637 - Bin Zhao, James T. Kwok, Changshui Zhang:
Multiple Kernel Clustering. 638-649 - Mohammad Al Hasan, Mohammed Javeed Zaki:
MUSK: Uniform Sampling of k Maximal Patterns. 650-661 - Jörn David:
Noise Robust Classification Based on Spread Spectrum. 662-672 - Nikolaos Vasiloglou, Alexander G. Gray, David V. Anderson:
Non-negative Matrix Factorization, Convexity and Isometry. 673-684 - Paolo D'Alberto, Ali Dasdan:
Non-parametric Information-Theoretic Measures of One-Dimensional Distribution Functions from Continuous Time Series. 685-696 - Barna Saha, Lise Getoor:
On Maximum Coverage in the Streaming Model & Application to Multi-topic Blog-Watch. 697-708 - Xiaowei Ying, Xintao Wu:
On Randomness Measures for Social Networks. 709-720 - Charu C. Aggarwal:
On Segment-Based Stream Modeling and Its Applications. 721-732 - Lucas Vendramin, Ricardo J. G. B. Campello, Eduardo R. Hruschka:
On the Comparison of Relative Clustering Validity Criteria. 733-744 - Elad Yom-Tov, Noam Slonim:
Parallel Pairwise Clustering. 745-755 - Jong Wook Kim, K. Selçuk Candan:
PICC Counting: Who Needs Joins When You Can Propagate Efficiently?. 756-767 - Mummoorthy Murugesan, Chris Clifton:
Providing Privacy through Plausibly Deniable Search. 768-779 - Sami Hanhijärvi, Gemma C. Garriga, Kai Puolamäki:
Randomization Techniques for Graphs. 780-791 - Shuicheng Yan, Huan Wang:
Semi-supervised Learning by Sparse Representation. 792-801 - Ana Paula Appel, Deepayan Chakrabarti, Christos Faloutsos, Ravi Kumar, Jure Leskovec, Andrew Tomkins:
ShatterPlots: Fast Tools for Mining Large Graphs. 802-813 - Alexander Liu, Goo Jun, Joydeep Ghosh:
Spatially Cost-Sensitive Active Learning. 814-825 - Christian Bird, Earl T. Barr, Andre Nash, Premkumar T. Devanbu, Vladimir Filkov, Zhendong Su:
Structure and Dynamics of Research Collaboration in Computer Science. 826-837 - Daisuke Okanohara, Jun'ichi Tsujii:
Text Categorization with All Substring Features. 838-846 - Xia Ning, George Karypis:
The Set Classification Problem and Solution Methods. 847-858 - André Gohr, Alexander Hinneburg, René Schult, Myra Spiliopoulou:
Topic Evolution in a Stream of Documents. 859-870 - Gaurav Tandon, Philip K. Chan:
Tracking User Mobility to Detect Suspicious Behavior. 871-882
Session S6: Supervised Learning
- Abhimanyu Lad, Yiming Yang, Rayid Ghani, Bryan Kisiel:
Toward Optimal Ordering of Prediction Tasks. 884-893 - Jaegul Choo, Barry L. Drake, Haesun Park:
Hierarchical Linear Discriminant Analysis for Beamforming. 894-905 - Zhuang Wang, Slobodan Vucetic:
Twin Vector Machines for Online Learning on a Budget. 906-917 - Adriano Veloso, Mohammed Javeed Zaki, Wagner Meira Jr., Marcos André Gonçalves:
The Metric Dilemma: Competence-Conscious Associative Classification. 918-929
Session S7: Privacy and Social Networks
- Niklas Lavesson, Paul Davidsson:
AMORI: A Metric-Based One Rule Inducer. 930-941 - Aris Gkoulalas-Divanis, Vassilios S. Verykios, Mohamed F. Mokbel:
Identifying Unsafe Routes for Network-Based Trajectory Privacy. 942-953 - Lian Liu, Jie Wang, Jinze Liu, Jun Zhang:
Privacy Preservation in Social Networks with Sensitive Edge Weights. 954-965 - Xiaowei Ying, Xintao Wu:
Graph Generation with Prescribed Feature Constraints. 966-977 - Jiyang Chen, Osmar R. Zaïane, Randy Goebel:
Detecting Communities in Social Networks Using Max-Min Modularity. 978-989 - Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, Rong Jin:
A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks. 990-1001
Session S8: Relational Mining and High Performance Learning
- Mario Boley, Tamás Horváth, Stefan Wrobel:
Efficient Discovery of Interesting Patterns Based on Strong Closedness. 1002-1013 - Ardian Kristanto Poernomo, Vivekanand Gopalkrishnan:
Efficient Computation of Partial-Support for Mining Interesting Itemsets. 1014-1025 - Siegfried Nijssen, Luc De Raedt:
Grammar Mining. 1026-1037 - Yiping Ke, James Cheng, Jeffrey Xu Yu:
Top-k Correlative Graph Mining. 1038-1049 - Arifa Nisar, Waseem Ahmad, Wei-keng Liao, Alok N. Choudhary:
High Performance Parallel/Distributed Biclustering Using Barycenter Heuristic. 1050-1061
Session S9: Mining Graphs and Semi Structured Data
- Jimeng Sun, Spiros Papadimitriou, Ching-Yung Lin, Nan Cao, Shixia Liu, Weihong Qian:
MultiVis: Content-Based Social Network Exploration through Multi-way Visual Analysis. 1064-1075 - Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt:
Near-optimal Supervised Feature Selection among Frequent Subgraphs. 1076-1087 - Hiroki Arimura, Takeaki Uno:
Polynomial-Delay and Polynomial-Space Algorithms for Mining Closed Sequences, Graphs, and Pictures in Accessible Set Systems. 1088-1099 - Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanishi, Masashi Sugiyama, Koji Tsuda:
Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction. 1100-1111 - Yi Han, Bin Zhou, Jian Pei, Yan Jia:
Understanding Importance of Collaborations in Co-authorship Networks: A Supportiveness Analysis Approach. 1112-1123
Session S10: Text Mining and Data Reduction
- Duo Zhang, ChengXiang Zhai, Jiawei Han:
Topic Cube: Topic Modeling for OLAP on Multidimensional Text Databases. 1124-1135 - Quanquan Gu, Jie Zhou:
Local Relevance Weighted Maximum Margin Criterion for Text Classification. 1136-1147 - Jie Tang, Limin Yao, Dewei Chen:
Multi-topic Based Query-Oriented Summarization. 1148-1159 - Jun Yan, Shuicheng Yan, Ning Liu, Zheng Chen:
Straightforward Feature Selection for Scalable Latent Semantic Indexing. 1160-1171 - Sameer Singh, Jeremy Kubica, Scott Larsen, Daria Sorokina:
Parallel Large Scale Feature Selection for Logistic Regression. 1172-1183
Session S11: Mining Spatio-Temporal Data and Efficient Learning
- Tsuyoshi Idé, Sei Kato:
Travel-Time Prediction Using Gaussian Process Regression: A Trajectory-Based Approach. 1185-1196 - Seyed H. Mohammadi, Vandana Pursnani Janeja, Aryya Gangopadhyay:
Discretized Spatio-Temporal Scan Window. 1197-1208 - Heikki Mannila, Evimaria Terzi:
Finding Links and Initiators: A Graph-Reconstruction Problem. 1209-1219 - Vamsi K. Potluru, Sergey M. Plis, Morten Mørup, Vincent D. Calhoun, Terran Lane:
Efficient Multiplicative Updates for Support Vector Machines. 1220-1231 - Zheng Wang, Yangqiu Song, Changshui Zhang:
Efficient Active Learning with Boosting. 1232-1243
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