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:
-
- Richland, WA
- Issue Date:
- Research Org.:
- Pacific Northwest National Laboratory (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}
}
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