Classification of spam and non-spam messages through machine learning
Material type:
TextPublication details: Lahore (unpublished) 2019Description: v., 64 p. : ill. ; 30 cm. + CDSubject(s): DDC classification: - 004 ASA
| Item type | Current library | Call number | Status | Date due | Barcode | |
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Thesis
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Lahore Raiwind Campus | 004 ASA (Browse shelf(Opens below)) | Not for loan | 59917 |
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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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