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Semi-supervised classification using natural-based computation / (Record no. 66328)

MARC details
000 -LEADER
fixed length control field 01827cam a2200313 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180526s2017 ua dh f m 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GiCUC
Language of cataloging eng
Transcribing agency EG-GiCUC
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
049 ## - LOCAL HOLDINGS (OCLC)
Holding library Deposite
097 ## - Thesis Degree
Thesis Level Ph.D
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.18.02.Ph.D.2017.Sh.S
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Shahira Shaaban Azab Ahmed
245 10 - TITLE STATEMENT
Title Semi-supervised classification using natural-based computation /
Statement of responsibility, etc. Shahira Shaaban Azab Ahmed ; Supervised Mohamed Farouk Abdelhady , Hesham Ahmed Hefny
246 15 - VARYING FORM OF TITLE
Title proper/short title التصنيف شبه الإشرافي باستخدام الحوسبة المستوحاة من الطبيعة
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Shahira Shaaban Azab Ahmed ,
Date of publication, distribution, etc. 2017
300 ## - PHYSICAL DESCRIPTION
Extent 146 Leaves :
Other physical details charts , facsimiles ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (Ph.D.) - Cairo University - Institute of Statistical Studies and Research - Department of Computer and Information Science
520 ## - SUMMARY, ETC.
Summary, etc. This Thesis presents a cluster-and-label model using PSO to optimize the cluster centroid. In addition, labeled data are used to label cluster and guide clustering process. In some domains, the number of clusters in semi-supervised classification is unknown as in the Automatic Knowledgebase Construction. This thesis proposes an algorithm 2ESPSO3 to detect the number of clusters in the dataset by using PSO to optimize silhouette score. Then, the detected numbers of clusters are used in exploratory semi-supervised classification tasks with an unanticipated cluster
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Particle Swarm Optimization
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Semi-supervised classification
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Swarm intelligence
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Hesham Ahmed Hefny ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Mohamed Farouk Abdelhady ,
Relator term
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Nazla
Reviser Revisor
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Shimaa
Reviser Cataloger
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
Holdings
Source of classification or shelving scheme Not for loan Home library Current library Date acquired Full call number Barcode Date last seen Koha item type Copy number
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 11.02.2024 Cai01.18.02.Ph.D.2017.Sh.S 01010110075111000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.18.02.Ph.D.2017.Sh.S 01020110075111000 22.09.2023 CD - Rom 75111.CD