Classification of spam and non-spam messages through machine learning (Record no. 54025)

MARC details
000 -LEADER
fixed length control field 00831nam a2200193 4500
040 ## - CATALOGING SOURCE
Transcribing agency Riphah International University
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004
Author Mark ASA
100 ## - MAIN ENTRY--PERSONAL NAME
Authorship Muhammad Asadullah Butt (5020)
245 ## - TITLE STATEMENT
Title Classification of spam and non-spam messages through machine learning
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Lahore
Name of publisher (unpublished)
Date of publication 2019
300 ## - PHYSICAL DESCRIPTION
Extent v., 64 p.
Illustrations : ill.
Dimensions ; 30 cm.
Accompanying material + CD
500 ## - GENERAL NOTE
General note Submitted In fulfillment of the requirement for the degree of Master of Sciences in Computer Science to the Faculty of Computing.<br/>
500 ## - GENERAL NOTE
General note Includes bibliographical references.<br/>
500 ## - GENERAL NOTE
General note Thesis supervisor: Dr. Sheheryar Malik <br/><br/>
502 ## - DISSERTATION NOTE
Dissertation note Thesis (MSCS)--Riphah International University, 2019<br/>
546 ## - LANGUAGE NOTE
Language note English
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Subject Computer science
-- Classification spam
Keywords Non-spam
-- Machine learning
-- FC
-- RCSI
942 ## - ADDED ENTRY ELEMENTS (KOHA)
item type Thesis
Holdings
Not for loan Home library Current library Full call number Barcode Koha item type
  Lahore Raiwind Campus Lahore Raiwind Campus 004 ASA 59917 Thesis
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