SDM A

62 papers

YearTitle / Authors
2004A Foundational Approach to Mining Itemset Utilities from Databases.
Hong Yao, Howard J. Hamilton, Cory J. Butz
2004A Framework for Discovering Co-Location Patterns in Data Sets with Extended Spatial Objects.
Hui Xiong, Shashi Shekhar, Yan Huang, Vipin Kumar, Xiaobin Ma, Jin Soung Yoo
2004A General Framework for Adaptive Anomaly Detection with Evolving Connectionist Systems.
Yihua Liao, V. Rao Vemuri, Alejandro Pasos
2004A General Probabilistic Framework for Mining Labeled Ordered Trees.
Nobuhisa Ueda, Kiyoko F. Aoki, Hiroshi Mamitsuka
2004A Kernel-Based Semi-Naïve Bayesian Classifier Using P-Trees.
Anne Denton, William Perrizo
2004A Mixture Model for Clustering Ensembles.
Alexander P. Topchy, Anil K. Jain, William F. Punch
2004A Top-Down Method for Mining Most-Specific Frequent Patterns in Biological Sequences.
Martin Ester, Xiang Zhang
2004Active Mining of Data Streams.
Wei Fan, Yi-an Huang, Haixun Wang, Philip S. Yu
2004Active Semi-Supervision for Pairwise Constrained Clustering.
Sugato Basu, Arindam Banerjee, Raymond J. Mooney
2004Adaptive Filtering for Efficient Record Linkage.
Lifang Gu, Rohan A. Baxter
2004An Abstract Weighting Framework for Clustering Algorithms.
Richard Nock, Frank Nielsen
2004Analytical Evaluation of Clustering Results Using Computational Negative Controls.
Ronald K. Pearson, Tom Zylkin, James S. Schwaber, Gregory E. Gonye
2004BAMBOO: Accelerating Closed Itemset Mining by Deeply Pushing the Length-Decreasing Support Constraint.
Jianyong Wang, George Karypis
2004Basic Association Rules.
Guichong Li, Howard J. Hamilton
2004CREDOS: Classification Using Ripple Down Structure (A Case for Rare Classes).
Mahesh V. Joshi, Vipin Kumar
2004Class-Specific Ensembles for Active Learning.
Amit Mandvikar, Huan Liu
2004Classifying Documents Without Labels.
Daniel Barbará, Carlotta Domeniconi, Ning Kang
2004Clustering Categorical Data Using the Correlated-Force Ensemble.
Ming-Syan Chen, Kun-Ta Chuang
2004Clustering with Bregman Divergences.
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, Joydeep Ghosh
2004Conquest: A Distributed Tool for Constructing Summaries of High-Dimensional Discrete Attribute Data Sets.
Jie Chi, Mehmet Koyutürk, Ananth Grama
2004Constructing Time Decompositions for Analyzing Time-Stamped Documents.
Parvathi Chundi, Daniel J. Rosenkrantz
2004Continuous-Time Bayesian Modeling of Clinical Data.
Sathyakama Sandilya, R. Bharat Rao
2004DOMISA: DOM-Based Information Space Adsorption of Web Information Hierarchy Mining.
Hung-Yu Kao, Jan-Ming Ho, Ming-Syan Chen
2004Data Reduction in Support Vector Machines by a Kernelized Ionic Interaction Model.
Hyunsoo Kim, Haesun Park
2004Density-Connected Subspace Clustering for High-Dimensional Data.
Karin Kailing, Hans-Peter Kriegel, Peer Kröger
2004Enhancing Communities of Interest Using Bayesian Stochastic Blockmodels.
Deepak Agrawal, Daryl Pregibon
2004Equivalence of Several Two-Stage Methods for Linear Discriminant Analysis.
Peg Howland, Haesun Park
2004Exploiting Hierarchical Domain Values in Classification Learning.
Yiqiu Han, Wai Lam
2004Finding Frequent Patterns in a Large Sparse Graph.
Michihiro Kuramochi, George Karypis
2004GRM: A New Model for Clustering Linear Sequences.
Hansheng Lei
2004GenIc: A Single-Pass Generalized Incremental Algorithm for Clustering.
Chetan Gupta, Robert L. Grossman
2004HICAP: Hierarchical Clustering with Pattern Preservation.
Hui Xiong, Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar
2004Hierarchical Clustering for Thematic Browsing and Summarization of Large Sets of Association Rules.
Alípio Jorge
2004IFD: Iterative Feature and Data Clustering.
Tao Li, Sheng Ma
2004IREP++, A Faster Rule Learning Algorithm.
Oliver Dain, Robert K. Cunningham, Stephen Boyer
2004Lazy Learning by Scanning Memory Image Lattice.
Yiqiu Han, Wai Lam
2004Learning to Read Between the Lines: The Aspect Bernoulli Model.
Ata Kabán, Ella Bingham, T. Hirsimäki
2004Making Time-Series Classification More Accurate Using Learned Constraints.
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
2004Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data.
Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvrit Sra
2004Mining Patters of Activity from Video Data.
Michael C. Burl
2004Mining Relationships Between Interacting Episodes.
Carl Mooney, John F. Roddick
2004Mining Text for Word Senses Using Independent Component Analysis.
Reinhard Rapp
2004Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data.
Ashok N. Srivastava
2004Nonlinear Manifold Learning for Data Stream.
Martin H. C. Law, Nan Zhang, Anil K. Jain
2004Principal Component Analysis and Effective K-Means Clustering.
Chris H. Q. Ding, Xiaofeng He
2004Privacy Preserving Naïve Bayes Classifier for Vertically Partitioned Data.
Jaideep Vaidya, Chris Clifton
2004Privacy-Preserving Multivariate Statistical Analysis: Linear Regression and Classification.
Wenliang Du, Yunghsiang S. Han, Shigang Chen
2004Proceedings of the Fourth SIAM International Conference on Data Mining, Lake Buena Vista, Florida, USA, April 22-24, 2004
Michael W. Berry, Umeshwar Dayal, Chandrika Kamath, David B. Skillicorn
2004R-MAT: A Recursive Model for Graph Mining.
Deepayan Chakrabarti, Yiping Zhan, Christos Faloutsos
2004RBA: An Integrated Framework for Regression based on Association Rules.
Aysel Ozgur, Pang-Ning Tan, Vipin Kumar
2004Reservoir-Based Random Sampling with Replacement from Data Stream.
Byung-Hoon Park, George Ostrouchov, Nagiza F. Samatova, Al Geist
2004Resource-Aware Mining with Variable Granularities in Data Streams.
Wei-Guang Teng, Ming-Syan Chen, Philip S. Yu
2004Subspace Clustering of High Dimensional Data.
Carlotta Domeniconi, Dimitris Papadopoulos, Dimitrios Gunopulos, Sheng Ma
2004Tesselation and Clustering by Mixture Models and Their Parallel Implementations.
Qiang Du, Xiaoqiang Wang
2004Text Mining Using Non-Negative Matrix Factorizations.
V. Paul Pauca, Farial Shahnaz, Michael W. Berry, Robert J. Plemmons
2004Text Mining from Site Invariant and Dependent Features for Information Extraction Knowledge Adaptation.
Wai Lam, Tak-Lam Wong
2004The Discovery of Generalized Causal Models with Mixed Variables Using MML Criterion.
Gang Li, Honghua Dai
2004Training Support Vector Machines Using Adaptive Clustering.
Daniel Boley, Dongwei Cao
2004Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects.
Hans-Peter Kriegel, Peer Kröger, Alexey Pryakhin, Matthias Schubert
2004VEDAS: A Mobile and Distributed Data Stream Mining System for Real-Time Vehicle Monitoring.
Hillol Kargupta, Ruchita Bhargava, Kun Liu, Michael Powers, Patrick Blair, Samuel Bushra, James Dull, Kakali Sarkar, Martin Klein, Mitesh Vasa, David Handy
2004Visualizing RFM Segmentation.
Ron Kohavi, Rajesh Parekh
2004Visually Mining through Cluster Hierarchies.
Stefan Brecheisen, Hans-Peter Kriegel, Peer Kröger, Martin Pfeifle