Introduction to the special section on new trends in data mining, games engineering and database systems
[ X ]
Tarih
2018
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Pergamon-Elsevier Science Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Over 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.
Açıklama
Essaaidi, Mohamed/0000-0001-9215-3263; , Shadi/0000-0001-5748-4921
Anahtar Kelimeler
Engineering, Games Engineering, Data Mining
Kaynak
Computers & Electrical Engineering
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
70
