DocumentCode
1414634
Title
Data mining: making data meaningful
Author
Mullich, Joe
Author_Institution
Glendale, CA, USA
Volume
30
Issue
9
fYear
1997
fDate
9/1/1997 12:00:00 AM
Firstpage
18
Abstract
Research groups, large businesses, government agencies and other organizations are using improved data mining technologies and techniques to discover meaningful patterns in huge databases, and now, data mining has been refined to the point where even people who aren´t highly trained statisticians can use this complex data analysis tool. Data mining´s increased popularity is due partly to technological improvements that permit faster, more effective analyses of databases
Keywords
data analysis; deductive databases; knowledge acquisition; very large databases; data analysis tool; data mining; large databases; meaningful data; technological improvements; Algorithm design and analysis; Biological neural networks; Data analysis; Data mining; Databases; Humans; Image analysis; Light sources; Observatories; Pattern analysis;
fLanguage
English
Journal_Title
Computer
Publisher
ieee
ISSN
0018-9162
Type
jour
DOI
10.1109/2.612243
Filename
612243
Link To Document