Applications of Fuzzy Logic in Data Mining Process Export

@incollection{citeulike:6074770, abstract = {As described in the introduction, data mining is the process of extracting nontrivial relationships from data. No single technique can be defined as the optimal technique for data mining. Fuzzy logic modeling is a probability based method. It has many advantages over the conventional rule induction algorithm, which has been discussed in this chapter. The selection of technique depends on the problem and the data set. How to apply fuzzy logic to data mining problems is still a relatively new field. There are great potentials for exploiting these techniques on different data sets to extract information.}, author = {Chen, Hang}, citeulike-article-id = {6074770}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-1-84628-469-4_17}, citeulike-linkout-1 = {http://www.springerlink.com/content/p40277258627v627}, doi = {10.1007/978-1-84628-469-4_17}, journal = {Advanced Fuzzy Logic Technologies in Industrial Applications}, keywords = {fuzzy, logic, mining}, pages = {249--260}, posted-at = {2009-11-05 15:41:57}, priority = {2}, title = {Applications of Fuzzy Logic in Data Mining Process}, url = {http://dx.doi.org/10.1007/978-1-84628-469-4_17}, year = {2006} }

TY - CHAP ID - citeulike:6074770 L3 - citeulike-article-id:6074770 N2 - As described in the introduction, data mining is the process of extracting nontrivial relationships from data. No single technique can be defined as the optimal technique for data mining. Fuzzy logic modeling is a probability based method. It has many advantages over the conventional rule induction algorithm, which has been discussed in this chapter. The selection of technique depends on the problem and the data set. How to apply fuzzy logic to data mining problems is still a relatively new field. There are great potentials for exploiting these techniques on different data sets to extract information. JF - Advanced Fuzzy Logic Technologies in Industrial Applications EP - 260 TI - Applications of Fuzzy Logic in Data Mining Process SP - 249 KW - fuzzy KW - logic KW - mining AU - Chen, Hang PY - 2006/// UR - http://dx.doi.org/10.1007/978-1-84628-469-4_17 ER -