Computational Intelligence in Data Mining Proceedings of the International Conference on CIDM 2017 /

The International Conference on "Computational Intelligence in Data Mining" (ICCIDM), after three successful versions, has reached to its fourth version with a lot of aspiration. The best selected conference papers are reviewed and compiled to form this volume. The proceedings discusses th...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Behera, Himansu Sekhar (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Nayak, Janmenjoy (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Naik, Bighnaraj (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Abraham, Ajith (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:Advances in Intelligent Systems and Computing, 711
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Computational Intelligence in Data Mining  |h [electronic resource] :  |b Proceedings of the International Conference on CIDM 2017 /  |c edited by Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik, Ajith Abraham. 
250 |a 1st ed. 2019. 
264 1 |a Singapore :  |b Springer Singapore :  |b Imprint: Springer,  |c 2019. 
300 |a XXIX, 899 p. 393 illus.  |b online resource. 
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490 1 |a Advances in Intelligent Systems and Computing,  |x 2194-5357 ;  |v 711 
505 0 |a Preface -- Acknowledgement -- About the Editors -- Organizing Committee -- Table of Contents -- 79 Papers -- Author Index. 
520 |a The International Conference on "Computational Intelligence in Data Mining" (ICCIDM), after three successful versions, has reached to its fourth version with a lot of aspiration. The best selected conference papers are reviewed and compiled to form this volume. The proceedings discusses the latest solutions, scientific results and methods in solving intriguing problems in the fields of data mining, computational intelligence, big data analytics, and soft computing. The volume presents a sneak preview into the strengths and weakness of trending applications and research findings in the field of computational intelligence and data mining along with related field. . 
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650 0 |a Data mining. 
650 0 |a Artificial intelligence. 
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