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Hair-Oriented Data Model For Spatio-Temporal Data Mining, Abbas Madraky, Zulaiha Ali Othman, Razak Hamdan
Hair-Oriented Data Model For Spatio-Temporal Data Mining, Abbas Madraky, Zulaiha Ali Othman, Razak Hamdan
Abbas Madraky
Spatio-temporal data are complex in terms of number of attributes for spatial and temporal values, and the data are changing towards time. Traditional method to mining the spatio-temporal data is the fact that the data is stored in data warehouse in un-normalization form as union of spatial and temporal data know as tabular data warehouse. A Hair-Oriented Data Model (HODM) has been proved as a suitable data model for spatio-temporal data. It has reduced the file size and decreased query execution time. The spatio-temporal data stored using the HODM known as Hair-Oriented Data warehouse. However, this paper aims to presents …
Analytic Methods For Spatio-Temporal Data In A Nature-Inspired Data Model, Abbas Madraky, Zulaiha Ali Othman, Abd Razak Hamdan
Analytic Methods For Spatio-Temporal Data In A Nature-Inspired Data Model, Abbas Madraky, Zulaiha Ali Othman, Abd Razak Hamdan
Abbas Madraky
We are surrounded by information and much of it needs to be stored and analyzed. Data analysis would be easier if the data storage structure were closer to that of a natural data structure. Many storage structures and related methods have been proposed in recent years due to the importance of understanding spatial-temporal information associated with a particular place and time. In this paper, some of the most important analytic methods for spatio-temporal data are considered and categorized in terms of their algorithms. We also describe the difficulties of knowledge representation when dealing with spatio-temporal data. In addition, three of …
Hair Data Model: A New Data Model For Spatio-Temporal Data Mining, Abbas Madraky, Zulaiha Ali Othman, Abdul Razak Hamdan
Hair Data Model: A New Data Model For Spatio-Temporal Data Mining, Abbas Madraky, Zulaiha Ali Othman, Abdul Razak Hamdan
Abbas Madraky
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 …