An Effective Frequent Pattern Mining with Systolic Tree on Reconfigurable Platform

In business, companies are working fast to gain a valuable competitive advantage over other businesses. A fast-growing and popular technology, which can help to gain this advantage, is data mining. Data mining technology allows a company to use the mass quantities of data that it has compiled and develop correlations and relationships among this data to help businesses improve efficiency, learn more about its customers, make better decisions and help in planning. The goal of frequent pattern (or frequent item set) mining is to determine which items in a transactional database commonly appear together. The FP-growth algorithm was originally designed from a software developer's perspective and uses recursion to traverse the tree and mine patterns.

Provided by: International Journal of Communications and Engineering Topic: Big Data Date Added: Mar 2012 Format: PDF

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