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Developing a hybrid intelligent approach to recognize terrorism / (Record no. 75169)

MARC details
000 -LEADER
fixed length control field 02835cam a2200325 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191113s2019 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 Ph.D
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.20.02.Ph.D.2019.Gh.D
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Ghada Mohammed Abdelaty Soliman
245 10 - TITLE STATEMENT
Title Developing a hybrid intelligent approach to recognize terrorism /
Statement of responsibility, etc. Ghada Mohammed Abdelaty Soliman ; Supervised Mohamed Hassan Rasmy , Omar Soliman Soliman , Motaz Mohammed Hosny Khorshid
246 15 - VARYING FORM OF TITLE
Title proper/short title تطوير توجه ذكى مهجن للتعرف على الإرهاب
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Ghada Mohammed Abdeaty Soliman ,
Date of publication, distribution, etc. 2019
300 ## - PHYSICAL DESCRIPTION
Extent 145 Leaves :
Other physical details charts ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (Ph.D.) - Cairo University - Faculty of Computers and Artificial Intelligence- Department of Operations Research and Decision Support
520 ## - SUMMARY, ETC.
Summary, etc. Terrorism is a complex adaptive system and it is one of the tactical phenomena that have been defeated for years and still none can guarantee, if it could be eliminated at all in the nearest future. Some governments indicated that terrorism does not happen in a vacuum, but rather happens for different social, economic, religious, psychological as well as political reasons.Terrorism has also been receiving closer attention from many researches in recent years. On the other side data mining is a new helpful technology that concentrates on dealing with information in order to make the best use of it.The recent machine learning paradigms play important roles to solve complex problems. The aim of this research is to propose a developed hybrid computational intelligent algorithm as a decision support (DS) tool for terrorism phenomenon. It combines the recent advanced machine learning paradigms and advanced data mining technology. It will be employed to predict, investigate the existence and networks growth of terrorism in different environments under different factors in order to predict the suspicious pattern of terrorism and so can be used to minimize the risk of this phenomenon.The proposed developed algorithm and hybrid framework can be applied on different environments to investigate and analyze the terrorist group (s) and then detect a well-known pattern of terrorism in order to be used as an early alarming tool to uncover future terrorist plots and so to avoid and minimize the terrorist attacks in the nearest future
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Data Mining (DM)
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Hybrid intelligent
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Terrorism
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Mohamed Hassan Rasmy ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Motaz Mohammed Hosny Khorshid ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Omar Soliman Soliman ,
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 Cai01.20.02.Ph.D.2019.Gh.D 01010110079892000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.20.02.Ph.D.2019.Gh.D 01020110079892000 22.09.2023 CD - Rom 79892.CD