TY - BOOK ID - 8062804 TI - Computational Intelligence in Data Mining—Volume 1 : Proceedings of the International Conference on CIDM, 5-6 December 2015 AU - Behera, Himansu Sekhar. AU - Mohapatra, Durga Prasad. PY - 2016 SN - 8132227328 8132227344 PB - New Delhi : Springer India : Imprint: Springer, DB - UniCat KW - Computer Science KW - Engineering & Applied Sciences KW - Computational intelligence KW - Data mining KW - Engineering KW - Construction KW - Engineering. KW - Data mining. KW - Computers. KW - Computational intelligence. KW - Computational Intelligence. KW - Data Mining and Knowledge Discovery. KW - Computing Methodologies. KW - Intelligence, Computational KW - Artificial intelligence KW - Soft computing KW - Automatic computers KW - Automatic data processors KW - Computer hardware KW - Computing machines (Computers) KW - Electronic brains KW - Electronic calculating-machines KW - Electronic computers KW - Hardware, Computer KW - Computer systems KW - Cybernetics KW - Machine theory KW - Calculators KW - Cyberspace KW - Algorithmic knowledge discovery KW - Factual data analysis KW - KDD (Information retrieval) KW - Knowledge discovery in data KW - Knowledge discovery in databases KW - Mining, Data KW - Database searching KW - Industrial arts KW - Technology KW - Artificial intelligence. KW - Artificial Intelligence. KW - AI (Artificial intelligence) KW - Artificial thinking KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers UR - https://www.unicat.be/uniCat?func=search&query=sysid:8062804 AB - The book is a collection of high-quality peer-reviewed research papers presented in the Second International Conference on Computational Intelligence in Data Mining (ICCIDM 2015) held at Bhubaneswar, Odisha, India during 5 – 6 December 2015. The two-volume Proceedings address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. The book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics. ER -