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A Novel Pattern Merger Algorithm for generating Actionable Rules for Multi-Source Combined Mining
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 125 - Number 15 |
| Year of Publication: 2015 |
| Authors: Arti Deshpande, Anjali Mahajan |
10.5120/ijca2015906108
|
Arti Deshpande, Anjali Mahajan . A Novel Pattern Merger Algorithm for generating Actionable Rules for Multi-Source Combined Mining. International Journal of Computer Applications. 125, 15 ( September 2015), 17-21. DOI=10.5120/ijca2015906108
Abstract
The idea of combined mining is very useful and flexible for identifying in-depth patterns through combining sets of items from multiple datasets or using multiple data mining techniques. The identified combined patterns disclose in-depth business intelligence, which are more informative and actionable for business decision-making. The business data is scattered at various locations and to arrive at decisions it needs analysis of data by integrating entire data. This paper emphasizes on applying Association Rule Mining technique on various data sources located at different locations and patterns so obtained are transported to main site. Finally by applying the proposed novel Pattern Merger Algorithm on the aforesaid patterns, all the generated patterns are merged to obtain actionable rules. These actionable patterns assist in strategic business planning and also pin points various issues arising post application of the data integration technique. Domain Knowledge concept is also included in the Rule generation technique to obtain the final results which are in the form of actionable rules.
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