TH-SOF-1592- User Characterization based on tweets using machine learning algorithms (Record no. 576687)

000 -LEADER
fixed length control field 00498nam a22001697a 4500
003 - CONTROL NUMBER IDENTIFIER
control field NUST
038 ## - RECORD CONTENT LICENSOR
Staff Name asad
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 200 THE
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Kinza Zahra
9 (RLIN) 69363
245 ## - TITLE STATEMENT
Title TH-SOF-1592- User Characterization based on tweets using machine learning algorithms
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. ISLAMABAD;
Date of publication, distribution, etc. 2018
Name of publisher, distributor, etc. NUST COLLEGE OF EME,
300 ## - PHYSICAL DESCRIPTION
Accompanying material CD
563 ## - BINDING INFORMATION
Binding note HB
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element MS-CSE-15, MSTHESIS
9 (RLIN) 69366
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Advisor Dr. Farooque Azam, Co-advisor Dr. Wasi Haider Butt
9 (RLIN) 69364
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Computer Files
Source of classification or shelving scheme
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Permanent Location Current Location Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
          College of Electrical & Mechanical Engineering (CEME) College of Electrical & Mechanical Engineering (CEME) Reference 12/14/2019   200 THE TH-SOF-1592 06/28/2021 06/28/2021 Computer Files
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