000			01643nam a2200145 4500
020			_a9789352605248
082			_a004 _bSEE/D
100			_aSeema Acharya
245			_aData analytics using R
260			_aChennai _bMcGraw Hill _c2018
300			_a555 p.
520			_aThis book is aimed at undergraduate students of computerscience and engineering. The book will be useful companion for IT professionalsto data analysts and decision makers responsible for driving strategicinitiatives, and management graduates and business analysts, engaged inself-study. This book by Acharya unleashes the power of R as astatistical data analytics and visualization tool and introduces the learnersto several data mining algorithms and chart forms / visualizations. It has goodemphasis on ‘asking the right questions’. • Exhaustivecoverage includes installation of R and its package, getting accustomed to Rinterface and R commands, working with data from disparate data sources (.csv,JSON, XML, RDBMS etc.), getting conversant with classification, clustering,association rule mining, regression, text mining etc. • 12 Casestudies namely Insurance Fraud Detection, Customer Insights Analysis, SalesForecasting, Credit Card Spending by Customer Groups and Helping RetailersPredict In-store Customer Traffic • Pedagogy o 300+chapter-end and check your progress questions for self-assessment o 200Multiple-choice questions o 10+hands-on practical exercises o Exhaustiveillustrations
650			_aData analytics _aComputer science
942			_cBK
999			_c66252 _d66252