The Mining of Co-location Patterns with Event-centric Model Approach on Spatial Database

Akhmad Sofwan, Aniati Mumi Aiymurthy, Wahyu Catur Wibowo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The increasing amount of spatial data provides us with more useful information, either explicitly or implicitly or both. To obtain the implicit information in spatial data, this paper uses a certain technique in Data Mining especially Spatial Data Mining since spatial data is used, it is Co-location Patterns Mining. An example in the application of Co-location pattern mining area is in City management for retrieving Point Of Interest (POI) in proximity neighborhood of instances, such as finding what most instances or objects near hospitals or near a school. This paper evaluates the application of Co-location patterns mining using Event-centric model and Spatial Database using PostGIS to find Point Of Interest (POI). This paper uses DKI Jakarta province data from OpenStreetMap and evaluates 10 major instances on Jakarta. This paper compares two different PostGIS spatial query functions, ST-Dwithin and ST-Distance, to obtain neighborhood relationship in Co-location patterns mining process and to know which function is more efficient or faster. This paper states that ST-Dwithin is faster than ST-Distance and also obtain mosque-school has the biggest Co-location patterns based on Participation Index it has which means that the majority instance near a mosque on Jakarta is school.

Original languageEnglish
Title of host publication2018 International Conference on Information Technology Systems and Innovation, ICITSI 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages115-120
Number of pages6
ISBN (Electronic)9781538656938
DOIs
Publication statusPublished - 22 Apr 2019
Event5th International Conference on Information Technology Systems and Innovation, ICITSI 2018 - Bandung - Padang, Indonesia
Duration: 22 Oct 201826 Oct 2018

Publication series

Name2018 International Conference on Information Technology Systems and Innovation, ICITSI 2018 - Proceedings

Conference

Conference5th International Conference on Information Technology Systems and Innovation, ICITSI 2018
CountryIndonesia
CityBandung - Padang
Period22/10/1826/10/18

Keywords

  • Co-location Patterns Mining
  • Event-centric Model
  • PostGIS
  • Spatial Database

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