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Classification of spam and non-spam messages through machine learning

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Material type: Text

TextPublication details: Lahore (unpublished) 2019Description: v., 64 p. : ill. ; 30 cm. + CDSubject(s):

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Dissertation note: Thesis (MSCS)--Riphah International University, 2019

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Item type	Current library	Call number	Status	Date due	Barcode
Thesis	Lahore Raiwind Campus	004 ASA (Browse shelf(Opens below))	Not for loan		59917

Submitted In fulfillment of the requirement for the degree of Master of Sciences in Computer Science to the Faculty of Computing.

Includes bibliographical references.

Thesis supervisor: Dr. Sheheryar Malik

Thesis (MSCS)--Riphah International University, 2019

English

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