Dependency detection in MobiMine: a systems perspective

Authors:
Sweta Pittie;Hillol Kargupta;Byung-Hoon Park
Affiliations:
Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD;Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD;Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD
Venue:
Information Sciences—Informatics and Computer Science: An International Journal - special issue: Knowledge discovery from distributed information sources
Year:
2003

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Abstract

This paper considers the problem of detecting dependencies among data streams and presenting the results in a mobile data mining system. It particularly focuses on the systems issues addressed by MobiMine, a system for mining financial data streams from PDAs. It presents an overview of the MobiMine, explains the two algorithmic techniques (correlation and conditional probability rules) used for detecting dependencies between a pair of stocks, identifies the systems challenges, and offers solutions. The paper also presents experimental results supporting MobiMine's scalable performance.