Management and mining of big spatiotemporal data / (Record no. 84303)
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000 -LEADER | |
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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 |
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 |
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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 |