Data mining for business analytics : concepts, techniques, and applications in R

International School for Social and Business Studies, Celje (MFDPS)

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.--

Type of material - book ; adult, serious

Publication and manufacture - Hoboken (New Jersey) : John Wiley & Sons, 2018

Language - english

ISBN - 978-1-118-87936-8; 1-118-87936-8

COBISS.SI-ID - 15356577

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Shmueli, Galit, 1971-

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Pickup location	Material status	Reservation
International School for Social and Business Studies, Celje	on loan - outside loan, due date: 13.09.2024 Expected to be available after: 14.09.2024 (1. in queue)

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Knjižnica Mednarodne fakultete 004 DATA MINING... IN: 000003358	on loan - outside loan, due date: 13.09.2024 Expected to be available after: 14.09.2024 (1. in queue)

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Shmueli, Galit, 1971-

Source: Personal bibliographies and: SICRIS

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