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Boolean logic algebra driven similarity measure for text based applications

Boolean logic algebra driven similarity measure for text based applications

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6fc7126e5a404419a095de0a6982eb26

Boolean logic algebra driven similarity measure for text based applications

About this item

Full title

Boolean logic algebra driven similarity measure for text based applications

Publisher

San Diego: PeerJ, Inc

Journal title

PeerJ. Computer science, 2021-07, Vol.7, p.e641-e641, Article e641

Language

English

Formats

Publication information

Publisher

San Diego: PeerJ, Inc

More information

Scope and Contents

Contents

In Information Retrieval (IR), Data Mining (DM), and Machine Learning (ML), similarity measures have been widely used for text clustering and classification. The similarity measure is the cornerstone upon which the performance of most DM and ML algorithms is completely dependent. Thus, till now, the endeavor in literature for an effective and effic...

Alternative Titles

Full title

Boolean logic algebra driven similarity measure for text based applications

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6fc7126e5a404419a095de0a6982eb26

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6fc7126e5a404419a095de0a6982eb26

Other Identifiers

ISSN

2376-5992

E-ISSN

2376-5992

DOI

10.7717/peerj-cs.641

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