Data mining and warehousing for Temporal Data Objects
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 1
Abstract
Mobility data analysis became a more challenging task because of its huge application in different field of science and other daily applications like service accessibility, mobile marketing and traffic management. Online analytical processing (OLAP) and data mining (DM) techniques can be used to make the huge amount of data in to useful knowledge. The challenges of dealing this data have been studied during the last decade and applying a analytical techniques on such data is also considered. To achieve this and handle the data in efficient way we have considered the complex natured temporal data . In this paper we proposed a framework for Mobility / Temporal Data Warehousing and Mining consist of Knowledge Discovery & Delivery steps. Specifically, Trajectory Data Warehousing techniques and OLAP operations are focused for data extraction and traffic pattern management.
Authors and Affiliations
Kola Surya Prakash
Keywords
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