TY - BOOK ID - 8360232 TI - Challenges in Computational Statistics and Data Mining AU - Matwin, Stan. AU - Mielniczuk, Jan. PY - 2016 SN - 3319187805 3319187813 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Computer Science KW - Engineering & Applied Sciences KW - Engineering. KW - Data mining. KW - Artificial intelligence. KW - Statistics. KW - Computational intelligence. KW - Computational Intelligence. KW - Data Mining and Knowledge Discovery. KW - Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. KW - Artificial Intelligence (incl. Robotics). KW - Intelligence, Computational KW - Artificial intelligence KW - Soft computing KW - Statistical analysis KW - Statistical data KW - Statistical methods KW - Statistical science KW - Mathematics KW - Econometrics KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains 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 - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers 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 - Construction KW - Industrial arts KW - Technology KW - Artificial Intelligence. KW - Mathematical statistics. KW - Statistical inference KW - Statistics, Mathematical KW - Statistics KW - Probabilities KW - Sampling (Statistics) KW - Statistics . UR - https://www.unicat.be/uniCat?func=search&query=sysid:8360232 AB - This volume contains nineteen research papers belonging to the areas of computational statistics, data mining, and their applications. Those papers, all written specifically for this volume, are their authors’ contributions to honour and celebrate Professor Jacek Koronacki on the occcasion of his 70th birthday. The book’s related and often interconnected topics, represent Jacek Koronacki’s research interests and their evolution. They also clearly indicate how close the areas of computational statistics and data mining are. ER -