Browsing School of Engineering, Computer & Mathematical Sciences by Author "Usman, M"
Now showing items 1-5 of 5
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A methodology for integrating and exploiting data mining techniques in the design of data warehouses
Usman, M; Pears, R (IEEE, 2010)Data Warehousing and Data Mining are two mature disciplines in their own right. Yet, they have developed largely separate from each other, despite the fact that techniques developed for pattern recognition such as Clustering ... -
Data guided approach to generate multi-dimensional schema for targeted knowledge discovery
Pears, RL; Usman, M; Fong, A; Usman, M; Pears, RL; Fong, A (Australian Computer Society (ACS), 2012)Data mining and data warehousing are two key technologies which have made significant contributions to the field of knowledge discovery in a variety of domains. More recently, the integrated use of traditional data mining ... -
Discovering diverse association rules from multidimensional schema
Usman, M; Pears R; Fong, A (Elsevier, 2013)The integration of data mining techniques with data warehousing is gaining popularity due to the fact that both disciplines complement each other in extracting knowledge from large datasets. However, the majority of ... -
Integration of Data Mining and Data Warehousing: a practical methodology
Usman, M; Pears, R (International Journal of Advancements in Computing Technology (IJACT), 2010)The ever growing repository of data in all fields poses new challenges to the modern analytical systems. Real-world datasets, with mixed numeric and nominal variables, are difficult to analyze and require effective visual ... -
Integration of Data Mining and Data Warehousing: a practical methodology
Usman, M; Pears, R (Advanced Institute of Convergence IT (AICIT), 2010)The ever growing repository of data in all fields poses new challenges to the modern analytical systems. Real-world datasets, with mixed numeric and nominal variables, are difficult to analyze and require effective visual ...