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VSE knjižnice (vzajemna bibliografsko-kataložna baza podatkov COBIB.SI)
  • Data mining for business analytics : concepts, techniques, and applications in R
    Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration Readers will learn ... how to implement a variety of popular data mining algorithms in R (a free and open-source software) to tackle business problems and opportunities. This is the fifth version of this successful text, and the first using R. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. Data Mining for Business Analytics: Concepts, Techniques, and Applications in R is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology.--
    Vrsta gradiva - knjiga ; neleposlovje za odrasle
    Založništvo in izdelava - Hoboken (New Jersey) : John Wiley & Sons, 2018
    Jezik - angleški
    ISBN - 978-1-118-87936-8; 1-118-87936-8
    COBISS.SI-ID - 15356577

Knjižnica/institucija Kraj Akronim Za izposojo Druga zaloga
Mednarodna fakulteta za družbene in poslovne študije, Celje Celje MFDPS na dom 1 izv.
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