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    SDM
    2004
    SIAM
    211views Data Mining» more  SDM 2004»
    Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
    13 years 10 months ago
    Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
    Download  www.dbs.informatik.uni-muenchen.de
    Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
    Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
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    SDM
    2004
    SIAM
    165views Data Mining» more  SDM 2004»
    Visualizing RFM Segmentation
    13 years 10 months ago
    Visualizing RFM Segmentation
    Download  www.cs.iastate.edu
    Segmentation based on RFM (Recency, Frequency, and Monetary) has been used for over 50 years by direct marketers to target a subset of their customers, save mailing costs, and imp...
    Ron Kohavi, Rajesh Parekh
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    SDM
    2004
    SIAM
    142views Data Mining» more  SDM 2004»
    Learning to Read Between the Lines: The Aspect Bernoulli Model
    13 years 10 months ago
    Learning to Read Between the Lines: The Aspect Bernoulli Model
    Download  www.cis.hut.fi
    We present a novel probabilistic multiple cause model for binary observations. In contrast to other approaches, the model is linear and it infers reasons behind both observed and ...
    Ata Kabán, Ella Bingham, T. Hirsimäki
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    SDM
    2004
    SIAM
    224views Data Mining» more  SDM 2004»
    Hierarchical Clustering for Thematic Browsing and Summarization of Large Sets of Association Rules
    13 years 10 months ago
    Hierarchical Clustering for Thematic Browsing and Summarization of Large Sets of Association Rules
    Download  www.liaad.up.pt
    In this paper we propose a method for grouping and summarizing large sets of association rules according to the items contained in each rule. We use hierarchical clustering to par...
    Alípio Jorge
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    SDM
    2004
    SIAM
    229views Data Mining» more  SDM 2004»
    R-MAT: A Recursive Model for Graph Mining
    13 years 10 months ago
    R-MAT: A Recursive Model for Graph Mining
    Download  www.cs.cmu.edu
    How does a `normal' computer (or social) network look like? How can we spot `abnormal' sub-networks in the Internet, or web graph? The answer to such questions is vital ...
    Deepayan Chakrabarti, Yiping Zhan, Christos Falout...
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    SDM
    2004
    SIAM
    141views Data Mining» more  SDM 2004»
    Visually Mining through Cluster Hierarchies
    13 years 10 months ago
    Visually Mining through Cluster Hierarchies
    Download  www.dbs.informatik.uni-muenchen.de
    Similarity search in database systems is becoming an increasingly important task in modern application domains such as multimedia, molecular biology, medical imaging, computer aid...
    Stefan Brecheisen, Hans-Peter Kriegel, Peer Kr&oum...
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    SDM
    2004
    SIAM
    168views Data Mining» more  SDM 2004»
    GenIc: A Single-Pass Generalized Incremental Algorithm for Clustering
    13 years 10 months ago
    GenIc: A Single-Pass Generalized Incremental Algorithm for Clustering
    Download  www.risk.tsukuba.ac.jp
    Chetan Gupta, Robert L. Grossman
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    SDM
    2004
    SIAM
    163views Data Mining» more  SDM 2004»
    Basic Association Rules
    13 years 10 months ago
    Basic Association Rules
    Download  www2.cs.uregina.ca
    Previous approaches for mining association rules generate large sets of association rules. Such sets are difficult for users to understand and manage. Here, the concept of a restri...
    Guichong Li, Howard J. Hamilton
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    SDM
    2004
    SIAM
    225views Data Mining» more  SDM 2004»
    Active Semi-Supervision for Pairwise Constrained Clustering
    13 years 10 months ago
    Active Semi-Supervision for Pairwise Constrained Clustering
    Download  www.cs.utexas.edu
    Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
    Sugato Basu, Arindam Banerjee, Raymond J. Mooney
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    SDM
    2004
    SIAM
    174views Data Mining» more  SDM 2004»
    Classifying Documents Without Labels
    13 years 10 months ago
    Classifying Documents Without Labels
    Download  cs.gmu.edu
    Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform classif...
    Daniel Barbará, Carlotta Domeniconi, Ning K...
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