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Big data analysis using intelligent statistical techniques / (Record no. 81371)

MARC details
000 -LEADER
fixed length control field 02622cam a2200313 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210624s2021 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 Cai01.18.04.M.Sc.2021.Do.B
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Doaa Mahmoud Mohamed Abdelaty
245 10 - TITLE STATEMENT
Title Big data analysis using intelligent statistical techniques /
Statement of responsibility, etc. Doaa Mahmoud Mohamed Abdelaty ; Supervised Elhousainy Abdelbar Rady , Amal Mohamed Abdelfattah
246 15 - VARYING FORM OF TITLE
Title proper/short title تحليل البيانات الكبيرة بإستخدام التقنيات الإحصائية الذكية
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Doaa Mahmoud Mohamed Abdelaty ,
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent 89 P . :
Other physical details charts ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Faculty of Graduate Studies for Statistical Research - Department of Statistics and Econometrics
520 ## - SUMMARY, ETC.
Summary, etc. In the era of big data, we surrounded when in huge amounts of devices (Home Appliances) which use a very amount of electricity and this effect the community . Given the rise of smart electricity meters and the wide adoption of electricity generation technology, there is a wealth of electricity usage data available. So, The big data framework applied to smart meters offers an exception platform for data-driven forecasting and decision-making to achieve sustainable energy efficiency. The key elements for understanding and predicting household energy consumption are activities occupants perform, by clustering using of Appliances with Appliances, and Appliances with time. Appliances and the times that appliances are used, and inter-appliance dependencies. This information can be extracted from the context rich big data from smart meters. Although this is challenging because it is not trivial to mine complex interdependencies between appliances from multiple concurrent data streams, it is difficult to derive accurate relationships between interval-based events, where multiple appliance usage persists, and continuous generation of the energy consumption data can trigger changes in appliance associations with time and appliances. And This data represents a multivariate time series of power related variables, that in turn could be used to model and even forecast future electricity consumption
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Big Data
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Energy Time Series
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term LSTM
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Amal Mohamed Abdelfattah ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Elhousainy Abdelbar Rady ,
Relator term
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 Cai01.18.04.M.Sc.2021.Do.B 01010110083738000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.18.04.M.Sc.2021.Do.B 01020110083738000 22.09.2023 CD - Rom 83738.CD