Data Mining: Techniques and Trends

Name: Data Mining: Techniques and Trends
Brand: PHI Learning Pvt Ltd
SKU: 9788120338128
Price: 371.0 INR
Availability: InStock

by Sivaselvan B. , Gopalan N. P.

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ISBN13: 9788120338128
Binding: Paperback
Subject: N/A
Publisher: PHI Learning Pvt Ltd
Publisher Imprint: PHI Learning Pvt Ltd
Publication Date: November 16, 2018
Pages: 592
Original Price: INR 495.0
Language: English
Edition: N/A
Item Weight: 750 grams
BISAC Subject(s): Data Science / Data Analytics

About The Book

Data Analysis Using Statistics and Probability with R Language is a complete introduction to data analysis. It provides a sound understanding of the foundations of the data analysis, in addition to covering many important advanced topics. Moreover, all the techniques have been implemented using R language as well as Excel.

This book is intended for the undergraduate and postgraduate students of Management and Engineering disciplines. It is also useful for research scholars

KEY FEATURES

1. Covers data analysis topics such as:

• Descriptive statistics like mean, median, mode, standard deviation, skewness, kurtosis, correlation and regression

• Probability and probability distribution

• Inferential statistics like estimation of parameters, hypothesis testing, ANOVA test, chi-square and t-test

• Statistical quality control, time series analysis, statistical decision theory

• Explorative data analysis like clustering and classification

• Advanced techniques like conjoint analysis, panel data analysis, and logistic regression analysis

2. Comprises 12 chapters which include examples, solved problems, review questions and unsolved problems.

3. Requires no programming background and can be used to understand theoretical concepts also by skipping programming.

4. R and Excel implementations, and additional advanced topics are available at https://www.phindia.com/partha_sarathi_bishnu_and_vandana_bhattacherjee

5. Whenever in any branch, data analysis technique is required, this book is the best.

TARGET AUDIENCE

• Students of MBA, ME/M.Tech, and BE/B.Tech.

• M.Sc. (Computer Science), MCA, BCA, and research scholars

About The Author

PARTHA SARATHI BISHNU, PhD, is Assistant Professor, Department of Computer Science and Engineering, Birla Institute of Technology, Ranchi. He has twelve years of teaching and six years of research experience. Dr. Bishnu has published more than 30 research articles. His research area includes Data Analysis, Data Mining, and Data Structure. |VANDANA BHATTACHERJEE, PhD, is Professor, Department of Computer Science and Engineering, Birla Institute of Technology, Ranchi. She has over 60 National and International publications in Journal and Conference Proceedings and published more than 100 research articles. She is a member of IEEE Computer Society and Life Member of Computer Society of India. Her research area includes Software Engineering and Data Mining.

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