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Title: Scalable Association Rule Mining with Predicates on Semantic Representations of Data

Abstract

Finding semantic associations from a vast amount of heterogeneous data is an important and useful task in various applications. We present a framework to extract semantic association patterns directly from a very large graph dataset without the extra step of converting graph data into transaction data.

Authors:
 [1];  [1];  [1]
  1. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Laboratory Directed Research and Development (LDRD) Program
OSTI Identifier:
1236594
DOE Contract Number:
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: Technology and Applications of Artificial Intelligence, Tainan, Taiwan, 20151120, 20150822
Country of Publication:
United States
Language:
English

Citation Formats

Tsay, Li-Shiang, Sukumar, Sreenivas R, and Roberts, Larry W. Scalable Association Rule Mining with Predicates on Semantic Representations of Data. United States: N. p., 2015. Web.
Tsay, Li-Shiang, Sukumar, Sreenivas R, & Roberts, Larry W. Scalable Association Rule Mining with Predicates on Semantic Representations of Data. United States.
Tsay, Li-Shiang, Sukumar, Sreenivas R, and Roberts, Larry W. Thu . "Scalable Association Rule Mining with Predicates on Semantic Representations of Data". United States. doi:.
@article{osti_1236594,
title = {Scalable Association Rule Mining with Predicates on Semantic Representations of Data},
author = {Tsay, Li-Shiang and Sukumar, Sreenivas R and Roberts, Larry W},
abstractNote = {Finding semantic associations from a vast amount of heterogeneous data is an important and useful task in various applications. We present a framework to extract semantic association patterns directly from a very large graph dataset without the extra step of converting graph data into transaction data.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jan 01 00:00:00 EST 2015},
month = {Thu Jan 01 00:00:00 EST 2015}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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