OLAP spells success for users and developers
Data Based Advisor
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Microsoft OLAP solutions
Mining e-commerce data: the good, the bad, and the ugly
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Olap Solutions: Building Multidimensional Information Systems
Olap Solutions: Building Multidimensional Information Systems
Applications of Data Mining to Electronic Commerce
Data Mining and Knowledge Discovery
Object-Based Selective Materialization for Efficient Implementation of Spatial Data Cubes
IEEE Transactions on Knowledge and Data Engineering
On Data Warehouse and GIS Integration
DEXA '00 Proceedings of the 11th International Conference on Database and Expert Systems Applications
E-business development for competitive advantages: a case study
Information and Management
Lessons and Challenges from Mining Retail E-Commerce Data
Machine Learning
SOVAT: Spatial OLAP Visualization and Analysis Tool
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 6 - Volume 06
Oracle Data Warehousing and Business Intelligence Solutions
Oracle Data Warehousing and Business Intelligence Solutions
Regional service coverage modeling
Computers and Operations Research
International Journal of Information Technology and Management
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
OLAP on search logs: an infrastructure supporting data-driven applications in search engines
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Providing geographic-multidimensional decision support over the web
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
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E-business domains have been considered killer domains for different data analysis techniques. Most researchers have examined data mining DM techniques to analyze the databases behind E-business websites. DM has shown interesting results, but this technique presents some restrictions concerning the content of the database and the level of expertise of the users interpreting the results. In this paper, the authors show that successful and more sophisticated results can be obtained using other analysis techniques, such as Online Analytical Processing OLAP and Spatial OLAP SOLAP. Thus, the authors propose a framework that fuses or integrates OLAP with SOLAP techniques in an E-business domain to perform easier and more user-friendly data analysis non-spatial and spatial and improve decision making. In addition, the authors apply the framework to an E-business website related to online job seekers in the United Arab Emirates UAE. The results can be used effectively by decision makers to make crucial decisions in the job market of the UAE.