Crime rate prediction and analysis in Iriga City using k-means algorithm / (Record no. 26849)

MARC details
000 -LEADER
fixed length control field 02349nam a2200313 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field CSPC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240118142354.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240118s2023 ph a b 000 0 eng d
040 ## - CATALOGING SOURCE
Transcribing agency CSPC
Original cataloging agency CSPC
Language of cataloging eng
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) UTH BSCS P215c 2023
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Parel, Jodan B.,
Relator term author.
245 1# - TITLE STATEMENT
Title Crime rate prediction and analysis in Iriga City using k-means algorithm /
Remainder of title Jodan B. Parel, [and 3 others].
300 ## - PHYSICAL DESCRIPTION
Extent 152 leaves.
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Source rdacarrier
502 ## - DISSERTATION NOTE
Dissertation note Undergraduate Theses (BSCS) - Computer Science
Name of granting institution Camarines Sur Polytechnic Colleges, 2023.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references.
520 3# - SUMMARY, ETC.
Summary, etc. Crime is the largest issue facing the entire world now and one of the greatest threats to humanity. The goal of this study is to develop a model that can be utilize in identifying and predicting the future occurrence of crime. Data on crimes committed in Iriga City between January 2018 and April 2022 was gathered and used in the study. The model employed the k-means algorithm to uncover underlying crime trends and patterns, detect crime-prone areas, and determine which barangays have the highest crime rate. The elbow method was implemented to identify the best k value in clustering. The result of the model indicates that crimes involving damage to property and physical injury had the highest rates of occurence, and of the 36 barangays im Iriga City, San Francisco (Pob.) and San Roque (Pob.) had the highest rates of crime occurrence. It was also discovered that the crime rate has been declining over time. These findings will be very useful to law enforcement and local government units in taking necessary actions to reduce crime and in crafting safety and security policies. Moreover, the developed model can be a springboard for the future development of more reliable crime prediction and analysis applications.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ordinario, Jason S.,
Relator term author
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Alcantara, Kyla Glen,
Relator term author
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Alcantara, Nicole,
Relator term author
720 1# - ADDED ENTRY--UNCONTROLLED NAME
Name Onesa, Rosel O.,
Relator term adviser
720 1# - ADDED ENTRY--UNCONTROLLED NAME
Name Prianes, Freddie B.,
Relator term panelist, chair
720 1# - ADDED ENTRY--UNCONTROLLED NAME
Name Oñate, Joseph Jessie S.,
Relator term panelist
720 1# - ADDED ENTRY--UNCONTROLLED NAME
Name Benosa, Brenda Dy-Po,
Relator term panelist
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Unpublished Materials
Suppress in OPAC No
Classification part BSCS
Item part P215c
Call number prefix UTH
Call number suffix 2023
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Main Library Main Library Undergraduate Thesis Section 01/18/2024   UTH BSCS P215c 2023 006068UM 01/18/2024 01/18/2024 Unpublished Materials