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Management and mining of big spatiotemporal data / (Record no. 84303)

MARC details
000 -LEADER
fixed length control field 02656cam a2200337 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250223032922.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220222s2022 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 Cai01.20.04.Ph.D.2022.Em.M
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Eman Omar Eldawy
245 10 - TITLE STATEMENT
Title Management and mining of big spatiotemporal data /
Statement of responsibility, etc. Eman Omar Eldawy ; Supervised Hoda Mokhtar Omar Mokhtar
246 15 - VARYING FORM OF TITLE
Title proper/short title إدارة وتنقيب البيانات المكانية الزمانية الكبيرة
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Eman Omar Eldawy ,
Date of publication, distribution, etc. 2022
300 ## - PHYSICAL DESCRIPTION
Extent 73 P. :
Other physical details charts ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (Ph.D.) - Cairo University - Faculty of Computers and Artificial Intelligence - Department of Information System
520 ## - SUMMARY, ETC.
Summary, etc. The fast advancement that we are witnessing today in mobile computing techniques has generated massive spatiotemporal data. Mining spatiotemporal data and especially outlier detection in trajectory data is a crucial and challenging topic as it can be used in a wide range of applications, including transportation management, public safety, urban planning, and environment monitoring. An outlier (anomaly) trajectory is a trajectory that has different characteristics than normal trajectories. In our research, we present the CB-TOD algorithm to detect outlier sub-trajectories and outlier trajectories by utilizing a clustering-based methodology. In the CB-TOD algorithm, the computational time is reduced decreasing the size of the trajectories dataset and representing each trajectory with the summary set of line segments that are sufficient to define the trajectory behavior without missing the basic motion information. After that, similar line segments based on the distance are grouped into a cluster. After clustering, for each trajectory, we distinguish the cluster that has the smallest number of segments and neighbors.This cluster is marked as an outlier cluster for this trajectory and accordingly, the line segments included in this detected cluster are classified as outlier segments. Moreover, a trajectory that contains a considerable number of outlying partitions is identified as an outlier trajectory
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 SpatioTemporalitym
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Clustering-Based Trajectory Outlier Detection (CB-TOD)
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Mining of big spatiotemporal data
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Spatiotemporal
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Hoda Mokhtar Omar Mokhtar ,
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 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 Cai01.20.04.Ph.D.2022.Em.M 01010110085468000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.20.04.Ph.D.2022.Em.M 01020110085468000 22.09.2023 CD - Rom 85468.CD