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FIRE: Interactive Visual Support for Parameter Space-Driven Rule Mining∗ Abhishek Mukherji, Xika Lin, Jason Whitehouse, Christopher R. Botaish, Elke A. Rundensteiner and Matthew O. Ward Computer Science Department, Wor
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Document Date: 2013-08-11 23:24:29

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File Size: 1,35 MB

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City

Orlando / San Francisco / Constraint / /

Company

IBM / C. R. Botaish / Intel / /

Country

United States / /

Currency

USD / /

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Facility

Stable Region Abstractions For Parameter Recommendations / Worcester Polytechnic Institute / M. Hall / Institute Road / Stable Region Abstractions / /

IndustryTerm

rule mining systems / given dataset using tools / association rule mining / http /

MarketIndex

FIRE / /

OperatingSystem

Windows 7 / /

Organization

National Science Foundation / Applied Intelligence / U.S. Securities and Exchange Commission / Matthew O. Ward Computer Science Department / Worcester Polytechnic Institute / /

Person

Jason Whitehouse / A. Hafez / V / S. Duan / V / Matthew O. Ward / Christopher R. Botaish / Elke A. Rundensteiner / /

Position

existing rule miner / the analyst / cached association rule miner / association rule miner / analyst / rule miner / /

Technology

RAM / CPU@2.3 GHz processor / bioinformatics / CRM / Machine Learning / knowledge management / rule mining algorithms / FIRE technology / Existing rule mining algorithms / data mining / online mining algorithms / APRIORI algorithm / interactive data mining technology / /

URL

http /

SocialTag