LEADER 02228nam 2200433 450 001 9910138270603321 005 20230828215926.0 010 $a953-51-5710-8 035 $a(CKB)3230000000075413 035 $a(NjHacI)993230000000075413 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/66201 035 $a(EXLCZ)993230000000075413 100 $a20221015d2012 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdvances in data mining knowledge discovery and applications /$fedited by Adem Karahoca 210 $cIntechOpen$d2012 210 1$aRijeka, Croatia :$cInTech,$d[2012] 210 4$dİ2012 215 $a1 online resource (402 pages) $cillustrations 311 $a953-51-0748-8 320 $aIncludes bibliographical references. 330 $aAdvances in Data Mining Knowledge Discovery and Applications aims to help data miners, researchers, scholars, and PhD students who wish to apply data mining techniques. The primary contribution of this book is highlighting frontier fields and implementations of the knowledge discovery and data mining. It seems to be same things are repeated again. But in general, same approach and techniques may help us in different fields and expertise areas. This book presents knowledge discovery and data mining applications in two different sections. As known that, data mining covers areas of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence, and other areas. In this book, most of the areas are covered with different data mining applications. The eighteen chapters have been classified in two parts: Knowledge Discovery and Data Mining Applications. 517 $aAdvances in data mining knowledge 606 $aData mining 610 $aDatabases 615 0$aData mining. 676 $a006.312 700 $aKarahoca$b Adem$4edt$01382792 702 $aKarahoca$b Adem 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910138270603321 996 $aAdvances in data mining knowledge discovery and applications$93426770 997 $aUNINA