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An inductive database system based on virtual mining views

Data Mining and Knowledge Discovery, ISSN: 1384-5810, Vol: 24, Issue: 1, Page: 247-287
2012
  • 19
    Citations
  • 0
    Usage
  • 13
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    19
    • Citation Indexes
      19
  • Captures
    13

Article Description

Inductive databases integrate database querying with database mining. In this article, we present an inductive database system that does not rely on a new data mining query language, but on plain SQL. We propose an intuitive and elegant framework based on virtual mining views, which are relational tables that virtually contain the complete output of data mining algorithms executed over a given data table. We show that several types of patterns and models that are implicitly present in the data, such as itemsets, association rules, and decision trees, can be represented and queried with SQL using a unifying framework. As a proof of concept, we illustrate a complete data mining scenario with SQL queries over the mining views, which is executed in our system. © 2011 The Author(s).

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