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    KDD
    1998
    ACM
    95views Data Mining» more  KDD 1998»
    Initialization of Iterative Refinement Clustering Algorithms
    13 years 8 months ago
    Initialization of Iterative Refinement Clustering Algorithms
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    Usama M. Fayyad, Cory Reina, Paul S. Bradley
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    KDD
    1998
    ACM
    105views Data Mining» more  KDD 1998»
    PlanMine: Sequence Mining for Plan Failures
    13 years 8 months ago
    PlanMine: Sequence Mining for Plan Failures
    Download  www.aaai.org
    This paper presents the PLANMINE sequence mining algorithm to extract patterns of events that predict failures in databases of plan executions. New techniques were needed because ...
    Mohammed Javeed Zaki, Neal Lesh, Mitsunori Ogihara
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    KDD
    1998
    ACM
    165views Data Mining» more  KDD 1998»
    Daily Prediction of Major Stock Indices from Textual WWW Data
    13 years 8 months ago
    Daily Prediction of Major Stock Indices from Textual WWW Data
    Download  www.aaai.org
    We predict stock markets using information containedin articles published on the Web. Mostly textual articles appearingin the leading and the most influential financial newspapers...
    Beat Wüthrich, D. Permunetilleke, S. Leung, V...
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    KDD
    1998
    ACM
    212views Data Mining» more  KDD 1998»
    Learning to Predict Rare Events in Event Sequences
    13 years 8 months ago
    Learning to Predict Rare Events in Event Sequences
    Download  storm.cis.fordham.edu
    Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
    Gary M. Weiss, Haym Hirsh
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    KDD
    1998
    ACM
    102views Data Mining» more  KDD 1998»
    Discovering Technical Traders in the T-bond Futures Market
    13 years 8 months ago
    Discovering Technical Traders in the T-bond Futures Market
    Download  www.aaai.org
    Andreas S. Weigend, Fei Chen, Stephen Figlewski, S...
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    KDD
    1998
    ACM
    131views Data Mining» more  KDD 1998»
    Interestingness-Based Interval Merger for Numeric Association Rules
    13 years 8 months ago
    Interestingness-Based Interval Merger for Numeric Association Rules
    Download  www.cs.sfu.ca
    We present an algorithm for mining association rules from relational tables containing numeric and categorical attributes. The approach is to merge adjacent intervals of numeric v...
    Ke Wang, Soon Hock William Tay, Bing Liu
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    KDD
    1998
    ACM
    129views Data Mining» more  KDD 1998»
    Data Reduction Based on Hyper Relations
    13 years 8 months ago
    Data Reduction Based on Hyper Relations
    Download  www.cosc.brocku.ca
    Data reduction makes datasets smaller but preserves classication structures of interest. It is an important area of research in data mining and databases. In this paper we present...
    Hui Wang, Ivo Düntsch, David A. Bell
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    KDD
    1998
    ACM
    183views Data Mining» more  KDD 1998»
    Mining Generalized Association Rules and Sequential Patterns Using SQL Queries
    13 years 8 months ago
    Mining Generalized Association Rules and Sequential Patterns Using SQL Queries
    Download  www.aaai.org
    Database integration of mining is becoming increasingly important with tile installation of larger and larger data warehouses built around relational database technology. Most of ...
    Shiby Thomas, Sunita Sarawagi
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    KDD
    1998
    ACM
    106views Data Mining» more  KDD 1998»
    Simultaneous Reliability Evaluation of Generality and Accuracy for Rule Discovery in Databases
    13 years 8 months ago
    Simultaneous Reliability Evaluation of Generality and Accuracy for Rule Discovery in Databases
    Download  www.aaai.org
    This paper presents an algorithm for discovering conjunction rules with high reliability from data sets. The discovery of conjunction rules, each of which is a restricted form of ...
    Einoshin Suzuki
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    KDD
    1998
    ACM
    129views Data Mining» more  KDD 1998»
    Defining diff as a Data Mining Primitive
    13 years 8 months ago
    Defining diff as a Data Mining Primitive
    Download  www.aaai.org
    Ramesh Subramonian
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