Eric Louie

According to our database1, Eric Louie authored at least 13 papers between 2000 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2018
Hybrid natural language processing for high-performance patent and literature mining in IBM Watson for Drug Discovery.
IBM J. Res. Dev., 2018

2014
The Strategic IP Insight Platform (SIIP): A Foundation for Discovery.
Proceedings of the 2014 Annual SRII Global Conference, 2014

2007
DAMIA - A Data Mashup Fabric for Intranet Applications.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

2005
Analysis of using granules to find association rules.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

2004
Semantics and Syntactic Patterns in Data.
Proceedings of the Rough Sets and Current Trends in Computing, 2004

2003
Bitmap Techniques for Optimizing Decision Support Queries and Association Rule Algorithms.
Proceedings of the 7th International Database Engineering and Applications Symposium (IDEAS 2003), 2003

A fast association rule algorithm based on bitmap and granular computing.
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

Using attribute value lattice to find closed frequent itemsets.
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2003

2002
Value Added Association Rules.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2002

Semantics oriented association rules.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

2001
Association Rules in Semantically Rich Relations: Granular Computing Approach.
Proceedings of the New Frontiers in Artificial Intelligence, 2001

2000
Finding Association Rules Using Fast Bit Computation: Machine-Oriented Modeling.
Proceedings of the Foundations of Intelligent Systems, 12th International Symposium, 2000

Data mining approach using machine-oriented modeling: finding association rules using canonical names.
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2000


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