Clustering association rules to build beliefs and discover unexpected patterns (2024)

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Index Terms

1. Clustering association rules to build beliefs and discover unexpected patterns

   1. Computing methodologies

      1. Machine learning

         1. Learning paradigms

            1. Unsupervised learning

               1. Cluster analysis

   2. Information systems

      1. Information systems applications

         1. Data mining

• TCOM, an innovative data structure for mining association rules among infrequent items

  Association rule mining is one of the most important areas in data mining, which has received a great deal of attention. The purpose of association rule mining is the discovery of association relationships or correlations among a set of items. In this ...

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• Reliable representations for association rules

  Association rule mining has contributed to many advances in the area of knowledge discovery. However, the quality of the discovered association rules is a big concern and has drawn more and more attention recently. One problem with the quality of the ...

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• Association rule mining with mostly associated sequential patterns

  Extraction of interesting patterns from data in the form of mostly associated sequential patterns.Speeding up the finding interesting patterns in data.Providing a tool for visual exploration of patterns extracted from data.Ability to be used for ...

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