A Mobile and web based application for security intelligence gathering - a case study of Nairobi County / (Record no. 318242)

MARC details
000 -LEADER
fixed length control field 02630ntm a2200301Ia 4500
001 - CONTROL NUMBER
control field 318242
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260707210610.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 051012s2016 xx a bm 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency ORE
Transcribing agency ORE
049 ## - LOCAL HOLDINGS (OCLC)
Holding library OREV
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (OCLC)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) LD4330
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) Omolo, Francis O.
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Omolo, Francis O.
9 (RLIN) 685
245 12 - TITLE STATEMENT
Title A Mobile and web based application for security intelligence gathering - a case study of Nairobi County /
Statement of responsibility, etc by Francis O. Omolo.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Date of publication, distribution, etc c2016.
300 ## - PHYSICAL DESCRIPTION
Extent xx leaves :
Other physical details ill. ;
Dimensions 29 cm.
500 ## - GENERAL NOTE
General note Printout.
502 ## - DISSERTATION NOTE
Dissertation note Thesis ()--Oregon State University, .
520 3# - SUMMARY, ETC.
Summary, etc The security situation in Kenya has deteriorated over time due to the low number of police personnel in the country which is currently at a population ratio of 1:1150. Security challenges have increased from mere theft to carjacking attacks and to more serious and evolved challenges like murder and terrorism. The government's efforts towards reducing these crimes have been ineffective as there are no mechanisms for gathering intelligence at low levels. Intelligence gathering especially from the public is very essential in tackling matters to do with insecurity. This research proposes a simple, convenient and efficient solution to the security challenges that Kenya is currently facing with respect to systematic gathering of intelligence and its analysis by the use of a mobile and web based application. The mobile based solution will integrate the use of GPS location services and ensure that it uses machine learning by using predictive models produced from Multiclass Decision Forest Algorithm, and to be able to provide detailed descriptive statistical analysis, text mining analysis of criminal activity taking place, as well as prediction analysis to predict crime patterns. The solution has an administrative web-based backend that will be accessed by the police force to ensure they get detailed information of criminal activities. From this portal, tests were done by entering information regarding suspicious person, potential suspicious person names associated with the submitted information are provided together with relevant scores to depict the most likely accurate name.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Also available on the World Wide Web.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references (leaves - ).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Security intelligence gathering.
9 (RLIN) 686
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Security state.
9 (RLIN) 687
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mobile application architectures.
9 (RLIN) 688
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mobile and web - based application.
9 (RLIN) 689
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://hdl.handle.net/11071/4864">http://hdl.handle.net/11071/4864</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Thesis

No items available.


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