Introduction to the special section on new trends in data mining, games engineering and database systems

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dc.contributor.authorAljawarneh, Shadi A.
dc.contributor.authorBayat, Oğuz
dc.contributor.authorEssaaidi, Mohamed
dc.date.accessioned2021-05-15T12:42:32Z
dc.date.available2021-05-15T12:42:32Z
dc.date.issued2018
dc.departmentMühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.descriptionEssaaidi, Mohamed/0000-0001-9215-3263; , Shadi/0000-0001-5748-4921
dc.description.abstractOver the course of the last twenty years, research in data mining and databases have seen a substantial increase in interest, attracting original contributions from various disciplines including computer science, electrical engineering, games engineering systems, genetics engineering, statistics, operations research, and information systems. Data mining supports a wide range of applications, from electrical power engineering,mining, medical decision making, bioinformatics, web-usage mining, and text and image recognition to prominent business engineering applications in corporate planning, direct marketing, and credit scoring. In addition, database technologies have been developed such as XML and RDF databases to fit modern information systems applications. Research in information systems equally reflects this inter- and multi-disciplinary approach, thereby advocating a series of papers at the intersection of data mining, games engineering and database research. The actual data mining task is the automatic or semi-automatic analysis of large quantities of data to extract previously unknown, interesting patterns such as groups of data records, unusual records and dependencies. The Knowledge Discovery in Databases (KDD) process is commonly defined with the following stages: (1) Selection, (2) Pre-processing (3) Transformation, (4) Data Mining and (5) Interpretation/Evaluation.en_US
dc.identifier.doi10.1016/j.compeleceng.2018.07.038
dc.identifier.endpage1104en_US
dc.identifier.issn0045-7906
dc.identifier.issn1879-0755
dc.identifier.scopus2-s2.0-85053196354
dc.identifier.scopusqualityQ1
dc.identifier.startpage1102en_US
dc.identifier.urihttps://doi.org/10.1016/j.compeleceng.2018.07.038
dc.identifier.urihttps://hdl.handle.net/20.500.12939/948
dc.identifier.volume70en_US
dc.identifier.wosWOS:000446151100084
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorBayat, Oğuz
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofComputers & Electrical Engineering
dc.relation.publicationcategoryDiğeren_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEngineeringen_US
dc.subjectGames Engineeringen_US
dc.subjectData Miningen_US
dc.titleIntroduction to the special section on new trends in data mining, games engineering and database systems
dc.typeEditorial

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WoS İndeksli Yayınlar Koleksiyonu
Bilgisayar Mühendisliği Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu