Mining Association Rules With Systolic Trees

Association Rules Mining (ARM) algorithms are designed to find sets of frequently occurring items in large databases. ARM applications have found their way into a variety of fields, including medicine, biotechnology, and marketing. This class of algorithm is typically very memory intensive, leading to prohibitive runtimes on large databases. Previous attempts at acceleration using custom or reconfigurable hardware have been limited, as many of the significant ARM algorithms were designed from a software developer's perspective and have features (e.g. dynamic linked lists, recursion) that do not translate well to hardware.

Provided by: Iowa State University Topic: Big Data Date Added: Jun 2008 Format: PDF

Find By Topic