Mason Archival Repository Service

From Data Mining to Knowledge Mining

Show simple item record Kaufman, Kenneth A. Michalski, Ryszard S. 2006-11-03T18:17:29Z 2006-11-03T18:17:29Z 2005 en_US
dc.identifier.citation Kaufman, K. and Michalski, R. S., "From Data Mining to Knowledge Mining," Handbook in Statistics, Vol. 24: Data Mining and Data Visualization, Rao, C.R., Solka, J.L. and Wegman, E.J. (Eds.), 47-75, Elsevier/North Holland, 2005. en_US
dc.description.abstract In view of the tremendous production of computer data worldwide, there is a strong need for new powerful tools that can automatically generate useful knowledge from a variety of data, and present it in human-oriented forms. In efforts to satisfy this need, researchers have been exploring ideas and methods developed in machine learning, statistical data analysis, data mining, text mining, data visualization, pattern recognition, etc. The first part of this chapter is a compendium of ideas on the applicability of symbolic machine learning and logical data analysis methods toward this goal. The second part outlines a multistrategy methodology for an emerging research direction, called knowledge mining, by which we mean the derivation of high-level concepts and descriptions from data through symbolic reasoning involving both data and relevant background knowledge. The effective use of background as well as previously created knowledge in reasoning about new data makes it possible for the knowledge mining system to derive useful new knowledge not only from large amounts of data, but also from limited and weakly relevant data.
dc.description.sponsorship Support for the Laboratory's research related to the presented results has been provided in part by the National Science Foundation under Grants No. DMI-9496192, IRI-9020266, IIS-9906858 and IIS-0097476; in part by the UMBC/LUCITE #32 grant; in part by the Office of Naval Research under Grant No. N00014-91-J-1351; in part by the Defense Advanced Research Projects Agency under Grant No. N00014-91-J-1854 administered by the Office of Naval Research; and in part by the Defense Advanced Research Projects Agency under Grants No. F49620-92-J-0549 and F49620-95-1-0462 administered by the Air Force Office of Scientific Research. en_US
dc.format.extent 2726 bytes
dc.format.extent 400406 bytes
dc.format.mimetype text/xml
dc.format.mimetype application/pdf
dc.language.iso en_US en_US
dc.relation.ispartofseries P 05-1 en_US
dc.title From Data Mining to Knowledge Mining en_US
dc.type Preprint en_US

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search MARS


My Account