Conferences in DBLP
Ronald K. Pearson , Tom Zylkin , James S. Schwaber , Gregory E. Gonye Analytical Evaluation of Clustering Results Using Computational Negative Controls. [Citation Graph (0, 0)][DBLP ] Conf ] Wei-Guang Teng , Ming-Syan Chen , Philip S. Yu Resource-Aware Mining with Variable Granularities in Data Streams. [Citation Graph (0, 0)][DBLP ] Conf ] Ashok N. Srivastava Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data. [Citation Graph (0, 0)][DBLP ] Conf ] Hyuk Cho , Inderjit S. Dhillon , Yuqiang Guan , Suvrit Sra Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data. [Citation Graph (0, 0)][DBLP ] Conf ] Martin H. C. Law , Nan Zhang 0002 , Anil K. Jain Nonlinear Manifold Learning for Data Stream. [Citation Graph (0, 0)][DBLP ] Conf ] Wai Lam , Tak-Lam Wong Text Mining from Site Invariant and Dependent Features for Information Extraction Knowledge Adaptation. [Citation Graph (0, 0)][DBLP ] Conf ] Michihiro Kuramochi , George Karypis Finding Frequent Patterns in a Large Sparse Graph. [Citation Graph (0, 0)][DBLP ] Conf ] Peer Kröger , Hans-Peter Kriegel , Karin Kailing Density-Connected Subspace Clustering for High-Dimensional Data. [Citation Graph (0, 0)][DBLP ] Conf ] Sathyakama Sandilya , R. Bharat Rao Continuous-Time Bayesian Modeling of Clinical Data. [Citation Graph (0, 0)][DBLP ] Conf ] Hans-Peter Kriegel , Peer Kröger , Alexey Pryakhin , Matthias Schubert Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects. [Citation Graph (0, 0)][DBLP ] Conf ] Ron Kohavi , Rajesh Parekh Visualizing RFM Segmentation. [Citation Graph (0, 0)][DBLP ] Conf ] Hyunsoo Kim , Haesun Park Data Reduction in Support Vector Machines by a Kernelized Ionic Interaction Model. [Citation Graph (0, 0)][DBLP ] Conf ] Hillol Kargupta , Ruchita Bhargava , Kun Liu , Michael Powers , Patrick Blair , Samuel Bushra , James Dull , Kakali Sarkar , Martin Klein , Mitesh Vasa , David Handy VEDAS: A Mobile and Distributed Data Stream Mining System for Real-Time Vehicle Monitoring. [Citation Graph (0, 0)][DBLP ] Conf ] Reinhard Rapp Mining Text for Word Senses Using Independent Component Analysis. [Citation Graph (0, 0)][DBLP ] Conf ] Yihua Liao , V. Rao Vemuri , Alejandro Pasos A General Framework for Adaptive Anomaly Detection with Evolving Connectionist Systems. [Citation Graph (0, 0)][DBLP ] Conf ] Alexander P. Topchy , Anil K. Jain , William F. Punch A Mixture Model for Clustering Ensembles. [Citation Graph (0, 0)][DBLP ] Conf ] V. Paul Pauca , Farial Shahnaz , Michael W. Berry , Robert J. Plemmons Text Mining Using Non-Negative Matrix Factorizations. [Citation Graph (0, 0)][DBLP ] Conf ] Hong Yao , Howard J. Hamilton , Cory J. Butz A Foundational Approach to Mining Itemset Utilities from Databases. [Citation Graph (0, 0)][DBLP ] Conf ] Byung-Hoon Park , George Ostrouchov , Nagiza F. Samatova , Al Geist Reservoir-Based Random Sampling with Replacement from Data Stream. [Citation Graph (0, 0)][DBLP ] Conf ] Aysel Ozgur , Pang-Ning Tan , Vipin Kumar RBA: An Integrated Framework for Regression based on Association Rules. [Citation Graph (0, 0)][DBLP ] Conf ] Hui Xiong , Michael Steinbach , Pang-Ning Tan , Vipin Kumar HICAP: Hierarchical Clustering with Pattern Preservation. [Citation Graph (0, 0)][DBLP ] Conf ] Richard Nock , Frank Nielsen An Abstract Weighting Framework for Clustering Algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Hui Xiong , Shashi Shekhar , Yan Huang , Vipin Kumar , Xiaobin Ma , Jin Soung Yoo A Framework for Discovering Co-Location Patterns in Data Sets with Extended Spatial Objects. [Citation Graph (0, 0)][DBLP ] Conf ] Carl Mooney , John F. Roddick Mining Relationships Between Interacting Episodes. [Citation Graph (0, 0)][DBLP ] Conf ] Chotirat (Ann) Ratanamahatana , Eamonn J. Keogh Making Time-Series Classification More Accurate Using Learned Constraints. [Citation Graph (0, 0)][DBLP ] Conf ] Amit Mandvikar , Huan Liu Class-Specific Ensembles for Active Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Jianyong Wang , George Karypis BAMBOO: Accelerating Closed Itemset Mining by Deeply Pushing the Length-Decreasing Support Constraint. [Citation Graph (0, 0)][DBLP ] Conf ] Jaideep Vaidya , Chris Clifton Privacy Preserving Naïve Bayes Classifier for Vertically Partitioned Data. [Citation Graph (0, 0)][DBLP ] Conf ] Nobuhisa Ueda , Kiyoko F. Aoki , Hiroshi Mamitsuka A General Probabilistic Framework for Mining Labeled Ordered Trees. [Citation Graph (0, 0)][DBLP ] Conf ] Qiang Du , Xiaoqiang Wang Tesselation and Clustering by Mixture Models and Their Parallel Implementations. [Citation Graph (0, 0)][DBLP ] Conf ] Hung-Yu Kao , Jan-Ming Ho , Ming-Syan Chen DOMISA: DOM-Based Information Space Adsorption of Web Information Hierarchy Mining. [Citation Graph (0, 0)][DBLP ] Conf ] Ata Kabán , Ella Bingham , T. Hirsimäki Learning to Read Between the Lines: The Aspect Bernoulli Model. [Citation Graph (0, 0)][DBLP ] Conf ] Chris H. Q. Ding , Xiaofeng He Principal Component Analysis and Effective K-Means Clustering. [Citation Graph (0, 0)][DBLP ] Conf ] Tao Li , Sheng Ma IFD: Iterative Feature and Data Clustering. [Citation Graph (0, 0)][DBLP ] Conf ] Guichong Li , Howard J. Hamilton Basic Association Rules. [Citation Graph (0, 0)][DBLP ] Conf ] Anne Denton , William Perrizo A Kernel-Based Semi-Naïve Bayesian Classifier Using P-Trees. [Citation Graph (0, 0)][DBLP ] Conf ] Sugato Basu , Arindam Banerjee , Raymond J. Mooney Active Semi-Supervision for Pairwise Constrained Clustering. [Citation Graph (0, 0)][DBLP ] Conf ] Daniel Barbará , Carlotta Domeniconi , Ning Kang Classifying Documents Without Labels. [Citation Graph (0, 0)][DBLP ] Conf ] Arindam Banerjee , Srujana Merugu , Inderjit S. Dhillon , Joydeep Ghosh Clustering with Bregman Divergences. [Citation Graph (0, 0)][DBLP ] Conf ] Gang Li , Honghua Dai The Discovery of Generalized Causal Models with Mixed Variables Using MML Criterion. [Citation Graph (0, 0)][DBLP ] Conf ] Hansheng Lei GRM: A New Model for Clustering Linear Sequences. [Citation Graph (0, 0)][DBLP ] Conf ] Deepak Agrawal , Daryl Pregibon Enhancing Communities of Interest Using Bayesian Stochastic Blockmodels. [Citation Graph (0, 0)][DBLP ] Conf ] Wei Fan , Yi-an Huang , Haixun Wang , Philip S. Yu Active Mining of Data Streams. [Citation Graph (0, 0)][DBLP ] Conf ] Martin Ester , Xiang Zhang A Top-Down Method for Mining Most-Specific Frequent Patterns in Biological Sequences. [Citation Graph (0, 0)][DBLP ] Conf ] Wenliang Du , Yunghsiang S. Han , Shigang Chen Privacy-Preserving Multivariate Statistical Analysis: Linear Regression and Classification. [Citation Graph (0, 0)][DBLP ] Conf ] Daniel Boley , Dongwei Cao Training Support Vector Machines Using Adaptive Clustering. [Citation Graph (0, 0)][DBLP ] Conf ] Lifang Gu , Rohan A. Baxter Adaptive Filtering for Efficient Record Linkage. [Citation Graph (0, 0)][DBLP ] Conf ] Mahesh V. Joshi , Vipin Kumar CREDOS: Classification Using Ripple Down Structure (A Case for Rare Classes). [Citation Graph (0, 0)][DBLP ] Conf ] Alípio Jorge Hierarchical Clustering for Thematic Browsing and Summarization of Large Sets of Association Rules. [Citation Graph (0, 0)][DBLP ] Conf ] Oliver Dain , Robert Cunningham , Stephen Boyer IREP++, A Faster Rule Learning Algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Parvathi Chundi , Daniel J. Rosenkrantz Constructing Time Decompositions for Analyzing Time-Stamped Documents. [Citation Graph (0, 0)][DBLP ] Conf ] Jie Chi , Mehmet Koyutürk , Ananth Grama Conquest: A Distributed Tool for Constructing Summaries of High-Dimensional Discrete Attribute Data Sets. [Citation Graph (0, 0)][DBLP ] Conf ] Ming-Syan Chen , Kun-Ta Chuang Clustering Categorical Data Using the Correlated-Force Ensemble. [Citation Graph (0, 0)][DBLP ] Conf ] Deepayan Chakrabarti , Yiping Zhan , Christos Faloutsos R-MAT: A Recursive Model for Graph Mining. [Citation Graph (0, 0)][DBLP ] Conf ] Peg Howland , Haesun Park Equivalence of Several Two-Stage Methods for Linear Discriminant Analysis. [Citation Graph (0, 0)][DBLP ] Conf ] Yiqiu Han , Wai Lam Exploiting Hierarchical Domain Values in Classification Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Yiqiu Han , Wai Lam Lazy Learning by Scanning Memory Image Lattice. [Citation Graph (0, 0)][DBLP ] Conf ] Michael C. Burl Mining Patters of Activity from Video Data. [Citation Graph (0, 0)][DBLP ] Conf ] Stefan Brecheisen , Hans-Peter Kriegel , Peer Kröger , Martin Pfeifle Visually Mining through Cluster Hierarchies. [Citation Graph (0, 0)][DBLP ] Conf ] Chetan Gupta , Robert L. Grossman GenIc: A Single-Pass Generalized Incremental Algorithm for Clustering. [Citation Graph (0, 0)][DBLP ] Conf ] Carlotta Domeniconi , Dimitris Papadopoulos , Dimitrios Gunopulos , Sheng Ma Subspace Clustering of High Dimensional Data. [Citation Graph (0, 0)][DBLP ] Conf ] 