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Title: Data mining and visualization techniques

Abstract

Disclosed are association rule identification and visualization methods, systems, and apparatus. An association rule in data mining is an implication of the form X.fwdarw.Y where X is a set of antecedent items and Y is the consequent item. A unique visualization technique that provides multiple antecedent, consequent, confidence, and support information is disclosed to facilitate better presentation of large quantities of complex association rules.

Inventors:
 [1];  [1];  [1]
  1. Richland, WA
Issue Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
974568
Patent Number(s):
6711577
Application Number:
09/695,157
Assignee:
Battelle Memorial Institute (Richland, WA)
Patent Classifications (CPCs):
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y10 - TECHNICAL SUBJECTS COVERED BY FORMER USPC Y10S - TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
DOE Contract Number:  
AC06-76RL01830
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Wong, Pak Chung, Whitney, Paul, and Thomas, Jim. Data mining and visualization techniques. United States: N. p., 2004. Web.
Wong, Pak Chung, Whitney, Paul, & Thomas, Jim. Data mining and visualization techniques. United States.
Wong, Pak Chung, Whitney, Paul, and Thomas, Jim. Tue . "Data mining and visualization techniques". United States. https://www.osti.gov/servlets/purl/974568.
@article{osti_974568,
title = {Data mining and visualization techniques},
author = {Wong, Pak Chung and Whitney, Paul and Thomas, Jim},
abstractNote = {Disclosed are association rule identification and visualization methods, systems, and apparatus. An association rule in data mining is an implication of the form X.fwdarw.Y where X is a set of antecedent items and Y is the consequent item. A unique visualization technique that provides multiple antecedent, consequent, confidence, and support information is disclosed to facilitate better presentation of large quantities of complex association rules.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2004},
month = {3}
}

Patent:

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Works referenced in this record:

Finding interesting rules from large sets of discovered association rules
conference, January 1994

  • Klemettinen, Mika; Mannila, Heikki; Ronkainen, Pirjo
  • Proceedings of the third international conference on Information and knowledge management - CIKM '94
  • https://doi.org/10.1145/191246.191314

Constraint-based rule mining in large, dense databases
conference, January 1999