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Abualigah et al., 2017 - Google Patents

Feature selection with β-hill climbing search for text clustering application

Abualigah et al., 2017

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Document ID
13267658496159461451
Author
Abualigah L
Khader A
Al-Betar M
Alyasseri Z
Alomari O
Hanandeh E
Publication year
Publication venue
2017 Palestinian International Conference on Information and Communication Technology (PICICT)

External Links

Snippet

In the bases of increasing the volume of text information, the dealing with text information has become incredibly complicated. The text clustering is a suitable technique used in dealing with a tremendous amount of text documents by classifying these set of text …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705—Clustering or classification
    • G06F17/3071—Clustering or classification including class or cluster creation or modification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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