A FRAMEWORK FOR SPATIO-TEMPORAL DATA WAREHOUSE

Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2013, Vol 4, Issue 1

Abstract

Data Warehouse (DW) is topic-oriented, integrated, static datasets which are used to support decision-making. Driven by the constraint of mass spatio-temporal data management and application, Spatio-Temporal Data Warehouse (STDW) was put forward, and many researchers scattered all over the world focused their energy on it.Although the research on STDW is going in depth , there are still many key difficulties to be solved, such as the design principle, system framework, spatio-temporal data model (STDM), spatio-temporal data process (STDP), spatial data mining (SDM) and etc. In this paper, the concept of STDW is discussed, and analyzes the organization model of spatio-temporal data. Based on the above, a framework of STDW is composed of data layer, management layer and application layer. The functions of STDW should include data analysis besides data process and data storage. When users apply certain kind of data services, STDW identifies the right data by metadata management system, then start data processing tool to form a data product which serves the data mining and OLAP. All varieties of distributed databases (DDBs) make up data sources of STDW, including Digital Elevation Model (DEM), Diagnosis-Related Group (DRG), Data Locator Group (DLG), Data Objects Management (DOM), Place Name and other databases in existence. The management layer implements heterogeneous data processing, metadata management and spatio-temporal data storage. The application layer provides data products service, multidimensional data cube, data mining tools and on-line analytical process.

Authors and Affiliations

Lax maiah, DR. A. GOVARDHAN DR. A. GOVARDHAN, DR. C. SUNIL KUMAR

Keywords

Related Articles

A Modified Leach Algorithm Using Hard and Soft Threshold in Wireless Sensor Network: A Review

Wireless sensor networks have become increasingly popular due to their wide range of application. Clustering sensor nodes organizing them hierarchically have proven to be an effective method to provide better data aggreg...

IMPROVED ANT COLONY LOAD BALANCING ALGORITHM IN CLOUD COMPUTING

Cloud Computing is an emerging computing paradigm. It aims to share data, calculations, and service transparently over a scalable network of nodes. Since Cloud computing stores the data and disseminated resources in the...

COORDINATED DISTRIBUTED SCHEDULING IN WIRELESS MESH NETWORK

IEEE 802.16 based wireless mesh networks (WMNs) are a promising broadband access solution to support flexibility, cost effectiveness and fast deployment of the fourth generation infrastructure based wireless networks. Re...

An efficient Scheme to Remove Low Density Impulse Noise From A Digital Image

An improved adaptive noise reduction scheme for images that are highly corrupted by Salt-and-Pepper noise(impulse noise), is proposed in this paper which efficiently removes the salt and pepper noise while preserving the...

Computer Aided Diagnosis of Melanoma Skin Cancer using Clinical Photographic Images

Melanoma is considered as one of the most malignant, metastatic and dangerous form of skin cancer that may cause death. The curability and survival of this type of skin cancer depends directly on the diagnosis and remova...

Download PDF file
  • EP ID EP649973
  • DOI 10.24297/ijct.v4i1c.3114
  • Views 84
  • Downloads 0

How To Cite

Lax maiah, DR. A. GOVARDHAN DR. A. GOVARDHAN, DR. C. SUNIL KUMAR (2013). A FRAMEWORK FOR SPATIO-TEMPORAL DATA WAREHOUSE. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 4(1), 146-150. https://europub.co.uk/articles/-A-649973