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A Computational Model for Feature Selection Techniques / (Record no. 61423)

MARC details
000 -LEADER
fixed length control field 02851cam a2200337 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250223031739.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170702s2016 ua d 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 M.Sc
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.20.03.M.Sc.2016.Sa.C
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Safinaz A bdelfattah Sayed Gomaa
245 12 - TITLE STATEMENT
Title A Computational Model for Feature Selection Techniques /
Statement of responsibility, etc. Sa{uFB01}naz Abdelfattah Sayed Gomaa ; Supervised Amr Badr, Emad Nabil
246 15 - VARYING FORM OF TITLE
Title proper/short title نموذج محسب لتقنيات اختيار الدلالات
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Sa{uFB01}naz Abdelfattah Sayed Gomaa ,
Date of publication, distribution, etc. 2016
300 ## - PHYSICAL DESCRIPTION
Extent 84 Leaves :
Other physical details charts ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University -Faculty of Computers and Information - Department of Computer Science
520 ## - SUMMARY, ETC.
Summary, etc. Many applications depend on large datasets with a lot of features, some of these features may be considered irrelevant, high dimensional or noisy that will degrade the perfor- mance of the machine learning tasks so, these applications use feature selection task as an important step in their implementation such as, data mining, classi{uFB01}cation, pattern recognition, and optimization. This task can be extremely useful in reducing the dimen- sional data to be processed by the classi{uFB01}er, reducing the execution time and enhancing the recognition rate of the classi{uFB01}er. Until now, {uFB01}nding the most informative data among the large data still an open prob- lem. For the feature selection problem, the goal is to search about the most informative subset of features that represent the original features in a speci{uFB01}c domain. The selected features are used in optimization of a certain {uFB01}tness function, so the feature selection problem can be seen as an optimization problem. In the last years, the clonal selection was used to solve many problems of different applications where, it has an important role in the Arti{uFB01}cial Immune System (AIS) that describes an adaptive immune response to the stimulation of non-self-cells (antigens). This thesis presents two techniques to solve the feature selection issue, the {uFB01}rst one is an improved binary clonal selection algorithm (BCSA). While, the second is a new hybrid algorithm that combines Clonal Selection Algorithm (CSA) with Flower Pollination Algorithm (FPA) to compose Bi- nary Clonal Flower Pollination Algorithm (BCFA)
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Clonal selection algorithm (CSA)
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Feature Selection Techniques
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Flower Pollination Algorithm (FPA)
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Amr Badr ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Emad Nabil ,
Relator term
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://172.23.153.220/th.pdf">http://172.23.153.220/th.pdf</a>
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 Cai01.20.03.M.Sc.2016.Sa.C 01010110072032000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.20.03.M.Sc.2016.Sa.C 01020110072032000 22.09.2023 CD - Rom 72032.CD