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Pattern recognition based methods for modeling and analysis of software rejuvenation / (Record no. 48003)

MARC details
000 -LEADER
fixed length control field 02342cam a2200337 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250223031100.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 141028s2014 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 M.Sc
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.20.01.M.Sc.2014.Al.P
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Alzahraa Sabry Ahmed Mohammed
245 10 - TITLE STATEMENT
Title Pattern recognition based methods for modeling and analysis of software rejuvenation /
Statement of responsibility, etc. Alzahraa Sabry Ahmed Mohammed ; Supervised Reda A. Elkhoribi , Eid Emary
246 15 - VARYING FORM OF TITLE
Title proper/short title طرق قائمة على ادراك الانماط لنمذجة وتحليل تجديد البرمجيات
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Alzahraa Sabry Ahmed Mohammed ,
Date of publication, distribution, etc. 2014
300 ## - PHYSICAL DESCRIPTION
Extent 75 Leaves :
Other physical details charts , facsimiles ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Technology
520 ## - SUMMARY, ETC.
Summary, etc. This thesis handles the software aging problem, which may be prevented using some rejuvenation techniques for the system before the crash occurs. Several machine learning based techniques are used to detect when to rejuvenate the system, in order to ensure its reliability and availability. For this purpose several machine learning based techniques are tried and tested on a set of collected bank data. Feature selection and reduction is first applied to the collected data in order to avoid the curse of dimensionality problem. A set of experiments with different classifiers are run on the processed data. These include back-propagation neural networks, K-nearest neighbors, Naive Bayes classifier, support vector machine, quadratic discriminant analysis and linear discriminant analysis. The highest obtained accuracy with respect to some online banking data is 87% using the linear discriminant analysis method. These experimental results are very promising, proving that machine learning techniques are reliable in the field of software rejuvenation
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Methods-sof
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Pattern recognition
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Ware rejuvenation
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Eid Emary ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Reda A. Elkhoribi ,
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 Aml
Reviser Cataloger
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Nazla
Reviser Revisor
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 Cai01.20.01.M.Sc.2014.Al.P 01010110063831000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.20.01.M.Sc.2014.Al.P 01020110063831000 22.09.2023 CD - Rom 63831.CD