Abstract
With both commercial and scientific data sets growing at an extremely rapid rate, methods for retrieving knowledge from this data in an efficient and reliable manner are constantly needed. To do this, many knowledge discovery techniques are employed to analyze these large data sets. Generally, knowledge discovery is the process by which data is cleaned and organized, then transformed for use for pattern detection and evaluation tools and then visualized in the most meaningful manner for the user [13].
| Original language | English |
|---|---|
| Title of host publication | Computer Science Handbook, Second Edition |
| Publisher | CRC Press |
| Pages | 75-1-75-16 |
| ISBN (Electronic) | 9780203494455 |
| ISBN (Print) | 9781584883609 |
| State | Published - 1 Jan 2004 |
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Information retrieval and data mining. / Herbert, Katherine G.; Wang, Jason T.L.; Liu, Jianghui.
Computer Science Handbook, Second Edition. CRC Press, 2004. p. 75-1-75-16.Research output: Chapter in Book/Report/Conference proceeding › Chapter
TY - CHAP
T1 - Information retrieval and data mining
AU - Herbert, Katherine G.
AU - Wang, Jason T.L.
AU - Liu, Jianghui
PY - 2004/1/1
Y1 - 2004/1/1
N2 - With both commercial and scientific data sets growing at an extremely rapid rate, methods for retrieving knowledge from this data in an efficient and reliable manner are constantly needed. To do this, many knowledge discovery techniques are employed to analyze these large data sets. Generally, knowledge discovery is the process by which data is cleaned and organized, then transformed for use for pattern detection and evaluation tools and then visualized in the most meaningful manner for the user [13].
AB - With both commercial and scientific data sets growing at an extremely rapid rate, methods for retrieving knowledge from this data in an efficient and reliable manner are constantly needed. To do this, many knowledge discovery techniques are employed to analyze these large data sets. Generally, knowledge discovery is the process by which data is cleaned and organized, then transformed for use for pattern detection and evaluation tools and then visualized in the most meaningful manner for the user [13].
UR - http://www.scopus.com/inward/record.url?scp=85056539175&partnerID=8YFLogxK
M3 - Chapter
AN - SCOPUS:85056539175
SN - 9781584883609
SP - 75-1-75-16
BT - Computer Science Handbook, Second Edition
PB - CRC Press
ER -