Parallel Co-location pattern mining in cloud computing environment for gis application / (Record no. 60129)

MARC details
000 -LEADER
fixed length control field 02581cam a2200337 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250223031659.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170307s2016 ua o 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.2016.Em.P
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Eman Mahmoud Refaye Mohammed
245 10 - TITLE STATEMENT
Title Parallel Co-location pattern mining in cloud computing environment for gis application /
Statement of responsibility, etc. Eman Mahmoud Refaye Mohammed ; Supervised Osman Hegazy , Mohamed Nour Eldien
246 15 - VARYING FORM OF TITLE
Title proper/short title التنقيب المتوازى عن الانماط المشاركة مكانيا فى بيئة الحوسبة السحابية لتطبيقات نظم المعلومات الجغرافية
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Eman Mahmoud Refaye Mohammed ,
Date of publication, distribution, etc. 2016
300 ## - PHYSICAL DESCRIPTION
Extent 98 Leaves :
Other physical details photographs ;
Dimensions 25cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Systems
520 ## - SUMMARY, ETC.
Summary, etc. Spatial data mining become one of the important areas because of the rapid evolution in technology which leads in big spatial data. Co-locations pattern mining is an interesting and important issue in spatial data mining area which discovers the subsets of features whose events are frequently located together in geographic space. Spatial proximity is the important concept to determine the colocation patterns from massive data. The computation of co-location pattern discovery is very expensive with big data volume and nearby existence of neighborhoods. Different approaches have been developed as a solutions to overcome the spatial Co-location mining drawbacks. In this thesis, a new framework has been proposed for Co-location pattern mining process take the benefits of parallel processing models, in particular, MapReduce framework in finding the frequently constraint neighbor Co-located patterns. The proposed framework based on Hadoop MapReduce model has achieved high performance and efficient framework solution for big data processing on clusters of machines in the process of spatial mining. The experimental results of the proposed framework shows scalable and efficient computational performance
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Co- location pattern
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Gis application
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Spatial data mining
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Mohamed Nour Eldien ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Osman Hegazy ,
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 Samia
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 Cai01.20.04.M.Sc.2016.Em.P 01010110071236000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.20.04.M.Sc.2016.Em.P 01020110071236000 22.09.2023 CD - Rom 71236.CD
Cairo University Libraries Portal Implemented & Customized by: Eng. M. Mohamady Contacts: new-lib@cl.cu.edu.eg | cnul@cl.cu.edu.eg
CUCL logo CNUL logo
© All rights reserved — Cairo University Libraries
CUCL logo
Implemented & Customized by: Eng. M. Mohamady Contact: new-lib@cl.cu.edu.eg © All rights reserved — New Central Library
CNUL logo
Implemented & Customized by: Eng. M. Mohamady Contact: cnul@cl.cu.edu.eg © All rights reserved — Cairo National University Library