Data Mining Applications With R
Publication details: Haryana, Elsevier 2018 Edition: 1stDescription: 470 Pg PbISBN: 9789351072188Subject(s): Computer ScienceDDC classification: 005.74/ZHA/DatItem type | Home library | Collection | Call number | Materials specified | Status | Notes | Date due | Barcode |
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VVM's Shree Damodar College of Commerce & Economics Margao Reference | Reference | 005.74/ZHA/Dat (Browse shelf(Opens below)) | Available | Book Purchased Under BCA Funds @ Rs.3,575/- with bill no: 366, dtd: 18/01/2024 | VVM-36310 |
Book Purchased Under BCA Funds @ Rs. 3,575/-
Contents:
1. Power Grid Data Analysis With R and Hadoop.
2. Picturing Bayesian Classifiers: A Visual Data Mining Approach to Parameters Operation
3. Text Mining and Network Analysis of Digital Libraries in R
Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many different industries, including government, finance, insurance, medicine, scientific research and more. This book presents 15 different real-world case studies illustrating various techniques in rapidly growing areas. It is an ideal companion for data mining researchers in academia and industry looking for ways to turn this versatile software into a powerful analytic tool.
R code, Data and color figures for the book are provided at the RDataMining.com website.
Helps data miners to learn to use R in their specific area of work and see how R can apply in different industries
Presents various case studies in real-world applications, which will help readers to apply the techniques in their work
Provides code examples and sample data for readers to easily learn the techniques by running the code by themselves
English
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