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ORCID11th SDM 2011: Mesa, Arizona, USA
- Proceedings of the Eleventh SIAM International Conference on Data Mining, SDM 2011, April 28-30, 2011, Mesa, Arizona, USA. SIAM / Omnipress 2011, ISBN 978-0-89871-992-5
Session S1 - Anomalies and Anonymity
- Shin Ando
, Einoshin Suzuki, Yoichi Seki, Theerasak Thanongphongphan, Daisuke Hoshino:
ACE: Anomaly Clustering Ensemble for Multi-perspective Anomaly Detection in Robot Behaviors. 1-12 - Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek:
Interpreting and Unifying Outlier Scores. 13-24 - Roberto J. Bayardo, Biswanath Panda:
Fast Algorithms for Finding Extremal Sets. 25-34 - Chih-Hua Tai, Philip S. Yu, De-Nian Yang, Ming-Syan Chen:
Structural Diversity for Privacy in Publishing Social Networks. 35-46 - Myunghwan Kim, Jure Leskovec:
The Network Completion Problem: Inferring Missing Nodes and Edges in Networks. 47-58
Session S2 - Scientific and Medical Applications
- Fei Wang, Jimeng Sun, Shahram Ebadollahi:
Integrating Distance Metrics Learned from Multiple Experts and its Application in Inter-Patient Similarity Assessment. 59-70 - Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang:
Learning Feature Dependencies for Noise Correction in Biomedical Prediction. 71-82 - Elisa Boari de Lima, Raquel Cardoso de Melo Minardi, Wagner Meira Jr., Mohammed Javeed Zaki:
Data Integration via Constrained Clustering: An Application to Enzyme Clustering. 83-94 - Varun Chandola, Ranga Raju Vatsavai:
A Gaussian Process Based Online Change Detection Algorithm for Monitoring Periodic Time Series. 95-106 - Jaya Kawale, Michael S. Steinbach, Vipin Kumar:
Discovering Dynamic Dipoles in Climate Data. 107-118
Session S3 - Graph Mining
- U Kang, Spiros Papadimitriou, Jimeng Sun, Hanghang Tong:
Centralities in Large Networks: Algorithms and Observations. 119-130 - Duen Horng Chau, Carey Nachenberg, Jeffrey Wilhelm, Adam Wright, Christos Faloutsos:
Large Scale Graph Mining and Inference for Malware Detection. 131-142 - Hanghang Tong, Ching-Yung Lin:
Non-Negative Residual Matrix Factorization with Application to Graph Anomaly Detection. 143-153 - Yasuo Tabei, Koji Tsuda:
Kernel-based Similarity Search in Massive Graph Databases with Wavelet Trees. 154-163 - Berkant Savas, Inderjit S. Dhillon:
Clustered low rank approximation of graphs in information science applications. 164-175
Session S4 - Classification
- Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos:
Who Should Label What? Instance Allocation in Multiple Expert Active Learning. 176-187 - Wei Liu, Sanjay Chawla:
A Quadratic Mean based Supervised Learning Model for Managing Data Skewness. 188-198 - Hao Xia, Steven C. H. Hoi:
MKBoost: A Framework of Multiple Kernel Boosting. 199-210 - Ming-Syan Chen, Keng-Pei Lin:
Efficient Kernel Approximation for Large-Scale Support Vector Machine Classification. 211-222 - Shirish K. Shevade, Balamurugan Palaniappan, S. Sundararajan, S. Sathiya Keerthi:
A Sequential Dual Method for Structural SVMs. 223-234
Session S5 - Feature Selection and Dimensionality Reduction
- Esa Junttila, Petteri Kaski:
Segmented nestedness in binary data. 235-246 - Zhengzheng Xing, Jian Pei, Philip S. Yu, Ke Wang:
Extracting Interpretable Features for Early Classification on Time Series. 247-258 - Hao Shao, Einoshin Suzuki:
Feature-based Inductive Transfer Learning through Minimum Encoding. 259-270 - Jing Peng, Guna Seetharaman, Stefan A. Robila, Aparna S. Varde, Wei Fan:
Chernoff Dimensionality Reduction-Where Fisher Meets FKT. 271-282 - Haibing Lu, Jaideep Vaidya, Vijayalakshmi Atluri, Heechang Shin, Lili Jiang:
Weighted Rank-One Binary Matrix Factorization. 283-294
Session S6 - Clustering
- Vineet Chaoji, Geng Li, Hilmi Yildirim, Mohammed Javeed Zaki:
ABACUS: Mining Arbitrary Shaped Clusters from Large Datasets based on Backbone Identification. 295-306 - Parasaran Raman, Jeff M. Phillips, Suresh Venkatasubramanian:
Spatially-Aware Comparison and Consensus for Clusterings. 307-318 - Claudia Plant:
SONAR: Signal De-mixing for Robust Correlation Clustering. 319-330 - Pu Wang, Kathryn B. Laskey, Carlotta Domeniconi, Michael I. Jordan:
Nonparametric Bayesian Co-clustering Ensembles. 331-342 - Omar Odibat, Chandan K. Reddy:
A Generalized Framework for Mining Arbitrarily Positioned Overlapping Co-clusters. 343-354
Session S7 - Social Network Analysis
- Charu C. Aggarwal, Nan Li:
On Node Classification in Dynamic Content-based Networks. 355-366 - Freddy Chong Tat Chua, Hady Wirawan Lauw, Ee-Peng Lim:
Predicting Item Adoption Using Social Correlation. 367-378 - Wei Chen, Alex Collins, Rachel Cummings, Te Ke, Zhenming Liu, David Rincón, Xiaorui Sun, Yajun Wang, Wei Wei, Yifei Yuan:
Influence Maximization in Social Networks When Negative Opinions May Emerge and Propagate. 379-390 - Charu C. Aggarwal, Yan Xie, Philip S. Yu:
Towards Community Detection in Locally Heterogeneous Networks. 391-402 - Santhanakrishnan Anand, Rajarathnam Chandramouli, Koduvayur P. Subbalakshmi:
Cost of Collaboration vs Individual Effort in Social Networks. 403-413
Session S8 - Probabilistic and Statistical Methods
- Nikolaj Tatti:
Are your Items in Order. 414-425 - Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Probabilistic Models over Ordered Partitions with Applications in Document Ranking and Collaborative Filtering. 426-437 - Kanishka Bhaduri, Kamalika Das, Chris Giannella:
Distributed Monitoring of the R2 Statistic for Linear Regression. 438-449 - Ramnath Balasubramanyan, William W. Cohen:
Block-LDA: Jointly modeling entity-annotated text and entity-entity links. 450-461 - Oliver Schulte:
A Tractable Pseudo-Likelihood Function for Bayes Nets Applied to Relational Data. 462-473
Session S9 - Text and Web Mining
- Xi Chen, Yanjun Qi, Bing Bai, Qihang Lin, Jaime G. Carbonell:
Sparse Latent Semantic Analysis. 474-485 - Xuan Li, Liang Du, Yi-Dong Shen:
Graph-Based Marginal Ranking for Update Summarization. 486-497 - Himabindu Lakkaraju, Chiranjib Bhattacharyya, Indrajit Bhattacharya, Srujana Merugu:
Exploiting Coherence for the Simultaneous Discovery of Latent Facets and associated Sentiments. 498-509 - Xia Ning, Yanjun Qi:
Semi-Supervised Convolution Graph Kernels for Relation Extraction. 510-521 - Charu C. Aggarwal, Arijit Khan, Xifeng Yan:
On Flow Authority Discovery in Social Networks. 522-533
Session S10 - Frequent Pattern Mining
- Francesco Bonchi, Matthijs van Leeuwen, Antti Ukkonen:
Characterizing Uncertain Data using Compression. 534-545 - Esther Galbrun, Pauli Miettinen:
From Black and White to Full Colour: Extending Redescription Mining Outside the Boolean World. 546-557 - Arno Siebes, René Kersten:
A Structure Function for Transaction Data. 558-569 - Kim-Ngan Nguyen, Loïc Cerf, Marc Plantevit, Jean-François Boulicaut:
Multidimensional Association Rules in Boolean Tensors. 570-581 - Mahashweta Das, Deepak Padmanabhan, Prasad Deshpande, Ramakrishnan Kannan:
Fast Rule Mining Over Multi-Dimensional Windows. 582-593
Session S11 - Novel Learning Methods
- Wei Ping, Ye Xu, Jianyong Wang, Xian-Sheng Hua:
FAMER: Making Multi-Instance Learning Better and Faster. 594-605 - James R. Foulds, Padhraic Smyth:
Multi-Instance Mixture Models. 606-617 - Xiangnan Kong, Xiaoxiao Shi, Philip S. Yu:
Multi-Label Collective Classification. 618-629 - Nicola Barbieri, Giuseppe Manco, Ettore Ritacco:
A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data. 630-641 - Tuyen N. Huynh, Raymond J. Mooney:
Online Max-Margin Weight Learning for Markov Logic Networks. 642-651
Session S12 - Data Streams and Time Series
- Charu C. Aggarwal:
On Classification of Graph Streams. 652-663 - Michael Hahsler, Margaret H. Dunham:
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time. 664-675 - Niko Vuokko, Petteri Kaski:
Significance of Patterns in Time Series Collections. 676-686 - Nuno Filipe Castro, Paulo J. Azevedo:
Time Series Motifs Statistical Significance. 687-698 - Gustavo E. A. P. A. Batista, Xiaoyue Wang, Eamonn J. Keogh:
A Complexity-Invariant Distance Measure for Time Series. 699-710
Short Presentations
- Chun Li, Charu C. Aggarwal, Jianyong Wang:
On Anonymization of Multi-graphs. 711-722 - Frank Eichinger, Christopher Oßner, Klemens Böhm:
Scalable Software-Defect Localisation by Hierarchical Mining of Dynamic Call Graphs. 723-734 - Chih-Chun Chia, Zeeshan Syed:
Computationally Generated Cardiac Biomarkers: Heart Rate Patterns to Predict Death Following Coronary Attacks. 735-746 - Hyungsul Kim, Manish Marwah, Martin F. Arlitt, Geoff Lyon, Jiawei Han:
Unsupervised Disaggregation of Low Frequency Power Measurements. 747-758 - Yasushi Sakurai, Lei Li, Yasuko Matsubara, Christos Faloutsos:
WindMine: Fast and Effective Mining of Web-click Sequences. 759-770 - Yunlong He, Renato D. C. Monteiro, Haesun Park:
A Fast Algorithm for Sparse PCA and a New Sparsity Control Criteria. 771-782 - Bin Tong, Junbin Gao, Thach Huy Nguyen, Einoshin Suzuki:
Gaussian Process for Dimensionality Reduction in Transfer Learning. 783-794 - Evgeni Tsivtsivadze, Josef Urban, Herman Geuvers, Tom Heskes:
Semantic Graph Kernels for Automated Reasoning. 795-803 - Koen Smets, Jilles Vreeken:
The Odd One Out: Identifying and Characterising Anomalies. 804-815 - Santanu Das, Nikunj C. Oza:
Sparse Solutions for Single Class SVMs: A Bi-Criterion Approach. 816-827 - Pratik Jawanpuria, Jagarlapudi Saketha Nath:
Multi-task Multiple Kernel Learning. 828-838 - Shivani Agarwal:
The Infinite Push: A New Support Vector Ranking Algorithm that Directly Optimizes Accuracy at the Absolute Top of the List. 839-850 - Jun Du, Charles X. Ling:
Active Teaching for Inductive Learners. 851-861 - Ling Chen, Chengqi Zhang:
Semi-supervised Variable Weighting for Clustering. 862-871 - Vinayaka Pandit, Sreyash Kenkre, Arindam Khan:
Discovering Bucket Orders from Data. 872-883 - Kewei Tu, Xixiu Ouyang, Dingyi Han, Vasant G. Honavar:
Exemplar-based Robust Coherent Biclustering. 884-895 - Rikiya Takahashi:
Sequential Minimal Optimization in Adaptive-Bandwidth Convex Clustering. 896-907 - Fei Wang, Ping Li, Arnd Christian König:
Efficient Document Clustering via Online Nonnegative Matrix Factorizations. 908-919 - Yi Zhang, Tao Li:
Extending Consensus Clustering to Explore Multiple Clustering Views. 920-931 - Nikola Müller, Katrin Haegler, Junming Shao, Claudia Plant, Christian Böhm:
Weighted Graph Compression for Parameter-free Clustering With PaCCo. 932-943 - Fei Wang, Jimeng Sun, Jianying Hu, Shahram Ebadollahi:
iMet: Interactive Metric Learning in Healthcare Applications. 944-955 - Charanpal Dhanjal, Stéphan Clémençon:
Maximising the Quality of Influence. 956-967 - Pedro Olmo Stancioli Vaz de Melo, Christos Faloutsos, Antonio Alfredo Ferreira Loureiro:
Human Dynamics in Large Communication Networks. 968-979 - Zhijun Yin, Liangliang Cao, Jiawei Han, Jiebo Luo, Thomas S. Huang:
Diversified Trajectory Pattern Ranking in Geo-tagged Social Media. 980-991 - Bo Liu, Yanshan Xiao, Longbing Cao, Philip S. Yu:
One-Class-Based Uncertain Data Stream Learning. 992-1003 - Hoang Thanh Lam, Toon Calders, Ninh Pham:
Online Discovery of Top-k Similar Motifs in Time Series Data. 1004-1015
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