Document (#37093)

Author

Biskri, I.
Rompré, L.

Title

Using association rules for query reformulation

Source

Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a

Imprint

Hershey, PA : IGI Publishing

Year

2012

Pages

S.291-303

Abstract

In this paper the authors will present research on the combination of two methods of data mining: text classification and maximal association rules. Text classification has been the focus of interest of many researchers for a long time. However, the results take the form of lists of words (classes) that people often do not know what to do with. The use of maximal association rules induced a number of advantages: (1) the detection of dependencies and correlations between the relevant units of information (words) of different classes, (2) the extraction of hidden knowledge, often relevant, from a large volume of data. The authors will show how this combination can improve the process of information retrieval.

Footnote

Vgl.: http://www.igi-global.com/book/next-generation-search-engines/64430.

Theme

Data Mining
Retrievalalgorithmen

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