Affiliation:
1. Department of Computer Science, ISG Institute, Tunis University, Tunisia
2. College of Computer Science, King Khalid University, Abha, Saudi Arabia
Abstract
Classic data seems unable to keep pace with the technology era. In fact, the incredible progress related to geographic information systems, pervasive computing, and positioning technologies have motivated classic data to evolve towards new data kind called mobility data. For decisional purposes, these later have to be analysed; therefore, their integration into a decision support system becomes a must. However, the data warehouse used to store classical data seems to be inadequate for mobility data storage and analysis. This gave the birth of a new central repository type called trajectory data warehouse which is able to support mobility data extraction, transformation, loading, and analysis and/or mining. As classic data warehouses, the trajectory one often changes its content as well as its structure for various reasons such as the organizational business processes progressing over time, the evolving needs of decision makers that lead to DW structure enrichment with additional analyses axes, or even the incompleteness of needs initially captured during the design phase of the DW . This work proposes a survey that gathers the research works that deal with the issue of trajectory data warehouse modelling and evolution; then the authors present comparative study of the proposed solutions.
Subject
Information Systems and Management,Management Science and Operations Research,Strategy and Management,Information Systems,Management Information Systems
Cited by
5 articles.
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1. Moving Beyond Traditional Decision Support Systems;Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering;2021
2. The Model-Driven Architecture for the Trajectory Data Warehouse Modeling;International Journal of Data Warehousing and Mining;2020-10
3. Accounting and the ERP Systems;International Journal of Knowledge-Based Organizations;2018-04
4. Integrating Trajectory Data in the Warehousing Chain: A New Way to Handle the Trajectory ELT Process;Intelligent Interactive Multimedia Systems and Services 2017;2017-05-28
5. Override Traditional Decision Support Systems - How Trajectory ELT Processes Modeling Improves Decision Making?;Proceedings of the 5th International Conference on Model-Driven Engineering and Software Development;2017