Recent Advances on Soft Computing and Data Mining Proceedings of the Third International Conference on Soft Computing and Data Mining (SCDM 2018), Johor, Malaysia, February 06-07, 2018 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Ghazali, Rozaida (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Deris, Mustafa Mat (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Nawi, Nazri Mohd (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Abawajy, Jemal H. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Advances in Intelligent Systems and Computing, 700
• Θέματα: Computational intelligence.; Artificial intelligence.; Computational Intelligence.; Artificial Intelligence.
• Φυσική περιγραφή: XXVI, 518 p. 152 illus., 111 illus. in color. online resource.
• ISBN: 9783319725505
• ISSN: 2194-5357 ;
• DOI: 10.1007/978-3-319-72550-5

This book offers a systematic overview of the concepts and practical techniques that readers need to get the most out of their large-scale data mining projects and research studies. It guides them through the data-analytical thinking essential to extract useful information and obtain commercial value from the data. Presenting the outcomes of International Conference on Soft Computing and Data Mining (SCDM-2017), held in Johor, Malaysia on February 6-8, 2018, it provides a well-balanced integration of soft computing and data mining techniques. The two constituents are brought together in various combinations of applications and practices. To thrive in these data-driven ecosystems, researchers, engineers, data analysts, practitioners, and managers must understand the design choice and options of soft computing and data mining techniques, and as such this book is a valuable resource, helping readers solve complex benchmark problems and better appreciate the concepts, tools, and techniques employed.