Bath, P.A.: Data mining in health and medical information (2003)
0.00
9.401512E-4 = product of:
0.003760605 = sum of:
0.003760605 = product of:
0.011281814 = sum of:
0.011281814 = weight(_text_:a in 4263) [ClassicSimilarity], result of:
0.011281814 = score(doc=4263,freq=8.0), product of:
0.055348642 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.04800207 = queryNorm
0.20383182 = fieldWeight in 4263, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0625 = fieldNorm(doc=4263)
0.33333334 = coord(1/3)
0.25 = coord(1/4)
- Abstract
- Data mining (DM) is part of a process by which information can be extracted from data or databases and used to inform decision making in a variety of contexts (Benoit, 2002; Michalski, Bratka & Kubat, 1997). DM includes a range of tools and methods for extractiog information; their use in the commercial sector for knowledge extraction and discovery has been one of the main driving forces in their development (Adriaans & Zantinge, 1996; Benoit, 2002). DM has been developed and applied in numerous areas. This review describes its use in analyzing health and medical information.
- Type
- a
