The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 12, 2019

Filed:

Mar. 31, 2017
Applicant:

University of Virginia Patent Foundation, Charlottesville, VA (US);

Inventors:

Ke Wang, Charlottesville, VA (US);

Kevin Skadron, Charlottesville, VA (US);

Elaheh Sadredini, Charlottesville, VA (US);

Assignee:

University of Virginia Patent Foundation, Charlottesville, VA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/30 (2006.01); G06F 16/2458 (2019.01);
U.S. Cl.
CPC ...
G06F 16/2465 (2019.01);
Abstract

The present invention introduces the development of a flexible CPU-AP (Computer Processing Unit-Automata Processor) computing infrastructure for mining hierarchical patterns based on Apriori algorithm. A novel automaton design strategy, called linear design, is described to generate automata for matching and counting hierarchical patterns and apply it on SPM (Sequential Pattern Mining). In addition, another novel automaton design strategy, called reduction design, is described for the disjunctive rule matching (DRM) and counting. The present invention shows performance improvement of AP SPM and DRM solutions and broader capability over multicore and GPU (Graphics Processing Unit) implementations of GSP SPM, and shows that AP SPM and DRM solutions outperform state-of-the-art SPM algorithms SPADE and PrefixSpan (especially for larger datasets).


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