IT training challenges in computational statistics and data mining matwin mielniczuk 2015 07 08 1
➤ Gửi thông báo lỗi ⚠️ Báo cáo tài liệu vi phạmNội dung chi tiết: IT training challenges in computational statistics and data mining matwin mielniczuk 2015 07 08 1
IT training challenges in computational statistics and data mining matwin mielniczuk 2015 07 08 1
Studies in Computational Intelligence 605Stan MatwinJan Mielniczuk EditorsChallenges in Computational Statisticsand Data Mining0 springerStudies in Co IT training challenges in computational statistics and data mining matwin mielniczuk 2015 07 08 1omputational IntelligenceVolume 605Series editorJanusz Kacprzyk, Polish Academy of Sciences, Warsaw. Poland e-mail: kacprzyk@>ibspan.waw.plAbout this SeriesThe scries “Studies in Computational Intelligence” (SCI) publishes new developments and advances in the various areas of computational intellige IT training challenges in computational statistics and data mining matwin mielniczuk 2015 07 08 1nce— quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded iIT training challenges in computational statistics and data mining matwin mielniczuk 2015 07 08 1
n the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, leStudies in Computational Intelligence 605Stan MatwinJan Mielniczuk EditorsChallenges in Computational Statisticsand Data Mining0 springerStudies in Co IT training challenges in computational statistics and data mining matwin mielniczuk 2015 07 08 1onary compulation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership arc the short publication timeframe and the worldwide distribution, which enable both IT training challenges in computational statistics and data mining matwin mielniczuk 2015 07 08 1 wide and rapid dissemination of research output.More information about this series at http://www.springcr.com/scrics/7092Stan Matwin • Jan MielniczukIT training challenges in computational statistics and data mining matwin mielniczuk 2015 07 08 1
EditorsChallenges in ComputationalStatistics and Data MiningSpringerEditorsSian MatwinFaculty of Computer ScienceDalhousic UniversityHalifax, NSCanadaStudies in Computational Intelligence 605Stan MatwinJan Mielniczuk EditorsChallenges in Computational Statisticsand Data Mining0 springerStudies in Co IT training challenges in computational statistics and data mining matwin mielniczuk 2015 07 08 1-9503 (electronic)Studies in Computational IntelligenceStudies in Computational Intelligence 605Stan MatwinJan Mielniczuk EditorsChallenges in Computational Statisticsand Data Mining0 springerStudies in CoGọi ngay
Chat zalo
Facebook