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    KDD
    1999
    ACM
    131views Data Mining» more  KDD 1999»
    Combining Estimators to Improve Performance
    13 years 8 months ago
    Combining Estimators to Improve Performance
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    John F. Elder IV, Greg Ridgeway
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    KDD
    1999
    ACM
    147views Data Mining» more  KDD 1999»
    Text Mining: Finding Nuggets in Mountains of Textual Data
    13 years 8 months ago
    Text Mining: Finding Nuggets in Mountains of Textual Data
    Download  maya.cs.depaul.edu
    Text mining appliesthe sameanalytical functions of datamining to the domainof textual information, relying on sophisticatedtext analysis techniques that distill information from f...
    Jochen Dörre, Peter Gerstl, Roland Seiffert
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    KDD
    1999
    ACM
    220views Data Mining» more  KDD 1999»
    Efficient Mining of Emerging Patterns: Discovering Trends and Differences
    13 years 8 months ago
    Efficient Mining of Emerging Patterns: Discovering Trends and Differences
    Download  www.cs.utsa.edu
    We introduce a new kind of patterns, called emerging patterns (EPs), for knowledge discovery from databases. EPs are defined as itemsets whose supports increase significantly from...
    Guozhu Dong, Jinyan Li
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    KDD
    1999
    ACM
    152views Data Mining» more  KDD 1999»
    Applying General Bayesian Techniques to Improve TAN Induction
    13 years 8 months ago
    Applying General Bayesian Techniques to Improve TAN Induction
    Download  www.maia.ub.es
    Tree Augmented Naive Bayes (TAN) has shown to be competitive with state-of-the-art machine learning algorithms [3]. However, the TAN induction algorithm that appears in [3] can be...
    Jesús Cerquides
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    KDD
    1999
    ACM
    128views Data Mining» more  KDD 1999»
    Towards Automated Synthesis of Data Mining Programs
    13 years 8 months ago
    Towards Automated Synthesis of Data Mining Programs
    Download  ti.arc.nasa.gov
    Code synthesis is routinely used in industry to generate GUIs, form lling applications, and database support code and is even used with COBOL. In this paper we consider the questi...
    Wray L. Buntine, Bernd Fischer 0002, Thomas Pressb...
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    KDD
    1999
    ACM
    184views Data Mining» more  KDD 1999»
    Mining Optimized Gain Rules for Numeric Attributes
    13 years 8 months ago
    Mining Optimized Gain Rules for Numeric Attributes
    Download  gkmc.utah.edu
    —Association rules are useful for determining correlations between attributes of a relation and have applications in the marketing, financial, and retail sectors. Furthermore, op...
    Sergey Brin, Rajeev Rastogi, Kyuseok Shim
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    KDD
    1999
    ACM
    237views Data Mining» more  KDD 1999»
    Using Association Rules for Product Assortment Decisions: A Case Study
    13 years 8 months ago
    Using Association Rules for Product Assortment Decisions: A Case Study
    Download  alpha.uhasselt.be
    It has been claimed that the discovery of association rules is well-suited for applications of market basket analysis to reveal regularities in the purchase behaviour of customers...
    Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert We...
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    KDD
    1999
    ACM
    193views Data Mining» more  KDD 1999»
    Data Mining of User Navigation Patterns
    13 years 8 months ago
    Data Mining of User Navigation Patterns
    Download  www.dcs.bbk.ac.uk
    Abstract. We propose a data mining model that captures the user navigation behaviour patterns. The user navigation sessions are modelled as a hypertext probabilistic grammar whose ...
    José Borges, Mark Levene
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    KDD
    1999
    ACM
    141views Data Mining» more  KDD 1999»
    Density-Based Indexing for Approximate Nearest-Neighbor Queries
    13 years 8 months ago
    Density-Based Indexing for Approximate Nearest-Neighbor Queries
    Download  research.microsoft.com
    Kristin P. Bennett, Usama M. Fayyad, Dan Geiger
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    KDD
    1999
    ACM
    115views Data Mining» more  KDD 1999»
    Horting Hatches an Egg: A New Graph-Theoretic Approach to Collaborative Filtering
    13 years 8 months ago
    Horting Hatches an Egg: A New Graph-Theoretic Approach to Collaborative Filtering
    Download  www.jos.org.cn
    Charu C. Aggarwal, Joel L. Wolf, Kun-Lung Wu, Phil...
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