Information Systems & Analytics: Faculty Publications
Developing an Associative Keyword Space of the Data Mining Literature Through Latent Semantic Analysis
Document Type
Contribution to Book
Publication Date
12-22-2007
Publication Title
Data Mining Methods and Applications
ISBN
9781420013733
Abstract
Georgia Southern University faculty member Adrian Gardiner authored "Developing an Associative Keyword Space of the Data Mining Literature Through Latent Semantic Analysis" in Data Mining Methods and Applications.
Book Summary: With today's information explosion, many organizations are now able to access a wealth of valuable data. Unfortunately, most of these organizations find they are ill-equipped to organize this information, let alone put it to work for them. Gain a Competitive Advantage Employ data mining in research and forecasting Build models with data management
Recommended Citation
Gardiner, Adrian.
2007.
"Developing an Associative Keyword Space of the Data Mining Literature Through Latent Semantic Analysis."
Data Mining Methods and Applications (1st Edition), Kenneth D. Lawrence, Stephan Kudyba, and Ronald K. Klimberg (Ed.): 255-293 New York, NY: Auerbach Publications.
isbn: 9781420013733
https://digitalcommons.georgiasouthern.edu/info-sys-facpubs/115
Copyright
This work is archived and distributed under the repository's Standard Copyright and Reuse License (opens in new tab). End users may copy, store, and distribute this work without restriction. For all other uses, permission must be obtained from the copyright owners or their authorized agents.
