Data Science and Big Data Analytics ACM-WIR 2018 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Mishra, Durgesh Kumar (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Yang, Xin-She (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Unal, Aynur (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Lecture Notes on Data Engineering and Communications Technologies, 16
• Θέματα: Computational intelligence.; Big data.; Data mining.; Computer security.; Computational Intelligence.; Big Data.; Data Mining and Knowledge Discovery.; Systems and Data Security.
• Φυσική περιγραφή: XXIV, 406 p. 152 illus., 95 illus. in color. online resource.
• ISBN: 9789811076411
• ISSN: 2367-4512 ;
• DOI: 10.1007/978-981-10-7641-1

This book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing. It discusses major issues pertaining to big data analysis using computational intelligence techniques, and the conjectural elements are supported by simulation and modelling applications to help address real-world problems. An extensive bibliography is provided at the end of each chapter. Further, the main content is supplemented by a wealth of figures, graphs, and tables, offering a valuable guide for researchers in the field of big data analytics and computational intelligence.