Hair data model

A new data model for Spatio-Temporal data mining

Abbas Madraky, Zulaiha Ali Othman, Abdul Razak Hamdan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Spatio-Temporal data is related to many of the issues around us such as satellite images, weather maps, transportation systems and so on. Furthermore, this information is commonly not static and can change over the time. Therefore the nature of this kind of data are huge, analysing data is a complex task. This research aims to propose an intermediate data model that can represented suitable for Spatio-Temporal data and performing data mining task easily while facing problem in frequently changing the data. In order to propose suitable data model, this research also investigate the analytical parameters, the structure and its specifications for Spatio-Temporal data. The concept of proposed data model is inspired from the nature of hair which has specific properties and its growth over the time. In order to have better looking and quality, the data is needed to maintain over the time such as combing, cutting, colouring, covering, cleaning etc. The proposed data model is represented by using mathematical model and later developed the data model tools. The data model is developed based on the existing relational and object-oriented models. This paper deals with the problems of available SpatioTemporal data models for utilizing data mining technology and defines a new model based on analytical attributes and functions.

Original languageEnglish
Title of host publicationConference on Data Mining and Optimization
Pages18-22
Number of pages5
DOIs
Publication statusPublished - 2012
Event2012 4th Conference on Data Mining and Optimization, DMO 2012 - Langkawi
Duration: 2 Sep 20124 Sep 2012

Other

Other2012 4th Conference on Data Mining and Optimization, DMO 2012
CityLangkawi
Period2/9/124/9/12

Fingerprint

Data mining
Data structures
Coloring
Cleaning
Satellites
Mathematical models
Specifications

Keywords

  • data warehouse model
  • hair data model
  • spatio-temporal data models

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Software

Cite this

Madraky, A., Ali Othman, Z., & Hamdan, A. R. (2012). Hair data model: A new data model for Spatio-Temporal data mining. In Conference on Data Mining and Optimization (pp. 18-22). [6329792] https://doi.org/10.1109/DMO.2012.6329792

Hair data model : A new data model for Spatio-Temporal data mining. / Madraky, Abbas; Ali Othman, Zulaiha; Hamdan, Abdul Razak.

Conference on Data Mining and Optimization. 2012. p. 18-22 6329792.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Madraky, A, Ali Othman, Z & Hamdan, AR 2012, Hair data model: A new data model for Spatio-Temporal data mining. in Conference on Data Mining and Optimization., 6329792, pp. 18-22, 2012 4th Conference on Data Mining and Optimization, DMO 2012, Langkawi, 2/9/12. https://doi.org/10.1109/DMO.2012.6329792
Madraky A, Ali Othman Z, Hamdan AR. Hair data model: A new data model for Spatio-Temporal data mining. In Conference on Data Mining and Optimization. 2012. p. 18-22. 6329792 https://doi.org/10.1109/DMO.2012.6329792
Madraky, Abbas ; Ali Othman, Zulaiha ; Hamdan, Abdul Razak. / Hair data model : A new data model for Spatio-Temporal data mining. Conference on Data Mining and Optimization. 2012. pp. 18-22
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