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    SDM
    2003
    SIAM
    110views Data Mining» more  SDM 2003»
    Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data
    13 years 10 months ago
    Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data
    Download  www.cs.ioc.ee
    We study the interaction between global and local techniques in data mining. Specifically, we study the collections of frequent sets in clusters produced by a probabilistic clust...
    Jaakko Hollmén, Jouni K. Seppänen, Hei...
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    SDM
    2003
    SIAM
    123views Data Mining» more  SDM 2003»
    Fast Online SVD Revisions for Lightweight Recommender Systems
    13 years 10 months ago
    Fast Online SVD Revisions for Lightweight Recommender Systems
    Download  www.merl.com
    The singular value decomposition (SVD) is fundamental to many data modeling/mining algorithms, but SVD algorithms typically have quadratic complexity and require random access to ...
    Matthew Brand
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    SDM
    2003
    SIAM
    121views Data Mining» more  SDM 2003»
    Dynamic Classification of Online Customers
    13 years 10 months ago
    Dynamic Classification of Online Customers
    Download  web.mit.edu
    Dimitris Bertsimas, Adam J. Mersereau, Nitin R. Pa...
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    SDM
    2003
    SIAM
    134views Data Mining» more  SDM 2003»
    Hierarchical Document Clustering using Frequent Itemsets
    13 years 10 months ago
    Hierarchical Document Clustering using Frequent Itemsets
    Download  www.cs.sfu.ca
    A major challenge in document clustering is the extremely high dimensionality. For example, the vocabulary for a document set can easily be thousands of words. On the other hand, ...
    Benjamin C. M. Fung, Ke Wang, Martin Ester
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    SDM
    2003
    SIAM
    184views Data Mining» more  SDM 2003»
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    13 years 10 months ago
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    Download  www-users.cs.umn.edu
    The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
    Levent Ertöz, Michael Steinbach, Vipin Kumar
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    WSCG
    2004
    170views more  WSCG 2004»
    Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps
    13 years 10 months ago
    Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps
    Download  infovis.uni-konstanz.de
    In many application domains, data is collected and referenced by its geo-spatial location. Spatial data mining, or the discovery of interesting patterns in such databases, is an i...
    Daniel A. Keim, Christian Panse, Jörn Schneid...
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    IJCAI
    2003
    122views Artificial Intelligence» more  IJCAI 2003»
    Gaussian Process Models of Spatial Aggregation Algorithms
    13 years 10 months ago
    Gaussian Process Models of Spatial Aggregation Algorithms
    Download  www.cs.dartmouth.edu
    Multi-level spatial aggregates are important for data mining in a variety of scientific and engineering applications, from analysis of weather data (aggregating temperature and p...
    Naren Ramakrishnan, Christopher Bailey-Kellogg
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    SDM
    2004
    SIAM
    271views Data Mining» more  SDM 2004»
    A Foundational Approach to Mining Itemset Utilities from Databases
    13 years 10 months ago
    A Foundational Approach to Mining Itemset Utilities from Databases
    Download  siam.org
    Most approaches to mining association rules implicitly consider the utilities of the itemsets to be equal. We assume that the utilities of itemsets may differ, and identify the hi...
    Hong Yao, Howard J. Hamilton, Cory J. Butz
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    SDM
    2004
    SIAM
    177views Data Mining» more  SDM 2004»
    Reservoir-Based Random Sampling with Replacement from Data Stream
    13 years 10 months ago
    Reservoir-Based Random Sampling with Replacement from Data Stream
    Download  www.ornl.gov
    Byung-Hoon Park, George Ostrouchov, Nagiza F. Sama...
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    SDM
    2004
    SIAM
    144views Data Mining» more  SDM 2004»
    RBA: An Integrated Framework for Regression based on Association Rules
    13 years 10 months ago
    RBA: An Integrated Framework for Regression based on Association Rules
    Download  www-users.cs.umn.edu
    This paper explores a novel framework for building regression models using association rules. The model consists of an ordered set of IF-THEN rules, where the rule consequent is t...
    Aysel Ozgur, Pang-Ning Tan, Vipin Kumar
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