Analysis of the data with multiple features in retail domain

Provided by: Creative Commons
Topic: Big Data
Format: PDF
In enterprise data mining applications it is crucial to develop effective techniques for mining rules combining necessary information from multiple relevant business areas, catering for real business settings and decision-making actions rather than just providing a single line of patterns. Here, the authors adopt combined mining as a general approach to mining for informative rules combining components of multiple features. Association rules are one of the most impressive techniques for the analysis of attribute associations in a given dataset related to applications related to retail, bioinformatics, and sociology.

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