LEADER 02573nam 2200457 450 001 9910555035103321 005 20211005231017.0 010 $a1-119-54446-7 010 $a1-119-54444-0 010 $a1-119-54448-3 035 $a(CKB)4100000010870942 035 $a(MiAaPQ)EBC6177671 035 $a(CaSebORM)9781119544456 035 $a(OCoLC)1149370344 035 $a(EXLCZ)994100000010870942 100 $a20200818h20202020 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aIntelligent data analysis $efrom data gathering to data comprehension /$fedited by Deepak Gupta [and three others] 210 1$aHoboken, NJ :$cWiley,$d2020. 210 4$dİ2020 215 $a1 online resource (xxix, 398 pages) $cillustrations 311 $a1-119-54445-9 320 $aIncludes bibliographical references and index. 330 $a"The new tool for analyses is ?Intelligent Data Analysis (IDA)?. IDA can be defined as the use of specialized statistical, pattern recognition, machine learning, data abstraction, and visualization tools for analysis of data and discovery of mechanisms that created the data. Such data are typically complex, meaning that they are characterized by many records, many variables, subtle interactions between variables, or a combination of all three. Engineering, computing sciences, database science, machine learning, and even artificial intelligence are bringing their powers to this newly born data analysis discipline. The main idea underlying the concept of Intelligent Data Analysis is extracting knowledge from a very large amount of data, with a very large amount of variables; data that represents very complex, non-linear, real-life problems. Moreover, IDA can help when starting from the raw data, coping with prediction tasks without knowing the theoretical description of the underlying process, classification tasks of new events based on past ones, or modeling the aforementioned unknown process. Classification, prediction, and modeling are the cornerstones that Intelligent Data Analysis can bring to us"--$cProvided by publisher. 606 $aData mining 606 $aComputational intelligence 615 0$aData mining. 615 0$aComputational intelligence. 676 $a006.312 702 $aGupta$b Deepak 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910555035103321 996 $aIntelligent data analysis$9443686 997 $aUNINA