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Towards an effective approach to detect the hidden patterns / (Record no. 84156)

MARC details
000 -LEADER
fixed length control field 03005cam a2200349 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250223032918.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220208s2021 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 Cai01.20.04.M.Sc.2021.Re.T
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Reem Kadry Ibrahim Montasser
245 10 - TITLE STATEMENT
Title Towards an effective approach to detect the hidden patterns /
Statement of responsibility, etc. Reem Kadry Ibrahim Montasser ; Supervised Hatem Mohamed Elkadi , Osama Mostafa Ismael
246 15 - VARYING FORM OF TITLE
Title proper/short title نحو منهج فعال للكشف عن الانماط المخفية
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Reem Kadry Ibrahim Montasser ,
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent 88 Leaves :
Other physical details charts ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Faculty of Computers and Artificial Intelligence - Department of Information Systems
520 ## - SUMMARY, ETC.
Summary, etc. Data mining is considered to be a field of research whose objective is to investigate good knowledge from large amount of data. Data mining field has been widely spread in the past two decades in computer science area. One of the most widely spread data mining technique is K- Nearest Neighbour, because it is simply used and can be applied on different types of data. The presence of multidimensional and outliers data have great effect on the accuracy of the KNN algorithm. In this thesis, a new hybrid approach called Particle Optimized Scored K-Nearest Neighbour was proposed in order to improve the performance of KNN. The new approach is implemented in two phases; the first phase helps to solve the multidimensional data by making feature selection using Modified Particle Swarm Optimization algorithm, the second phase helps to solve the presence of outliers by taking the result of the first phase and apply on it a new proposed scored KNN technique. The proposed approach was applied on two datasets; first, Soybean dataset which is composed of 36 attributes, 15 classes and 684 instances. Second, real life dataset gathered from 3 dental clinics in El Baharia Oasis in Egypt which is composed of 56 attributes, 2 classes and 328 instances. The model was implemented using 10 fold cross validation. Experiments showed that the proposed hybrid approach gave better performance than classical KNN and Modified KNN described in the related workReem Kadry and Osama Ismael, 2A New Hybrid KNN Classification Approach based on Particle Swarm Optimization3, International Journal of Advanced Computer Science and Applications (IJACSA), vol. 11, Issue 11, 2020. The journal is considered to be indexed, Scopus and web of science
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element information system series
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Data mining
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Hidden patterns
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term K-Nearest Neighbour (KNN)
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Hatem Elkadi ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Osama Ismael ,
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 Amira
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 Cai01.20.04.M.Sc.2021.Re.T 01010110085368000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.20.04.M.Sc.2021.Re.T 01020110085368000 22.09.2023 CD - Rom 85368.CD