Parteek Bhatia
Data Mining and Data Warehousing: Principles and Practical Techniques
Data Mining and Data Warehousing: Principles and Practical Techniques
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This textbook is a comprehensive guide to data mining and data warehousing, covering key concepts, practical implementation, and advanced topics. It is designed for undergraduate students in computer science, engineering, and information technology.
Format: Paperback / softback
Length: 506 pages
Publication date: 27 June 2019
Publisher: Cambridge University Press
This comprehensive textbook serves as a valuable resource for students seeking to gain a comprehensive understanding of data mining and data warehousing. Written in lucid language, it brings together fundamental concepts from these two domains in a single volume. The book covers a wide range of important topics, including information theory, decision tree, Naïve Bayes classifier, distance metrics, partitioning clustering, associate mining, data marts, and operational data store.
The textbook is designed to cater to the needs of undergraduate students studying computer science, engineering, and information technology. It simplifies the understanding of complex concepts through a combination of theoretical explanations and practical examples. Each chapter is extensively discussed, providing detailed insights into classification, associate mining, and cluster analysis, among other topics.
To enhance the learning experience, the book incorporates practical implementation exercises using popular data mining tools such as Weka and the R language. This allows students to apply the theoretical knowledge gained in the text to real-world scenarios. Additionally, advanced topics such as big data analytics, relational data models, and NoSQL are explored in depth, providing students with a comprehensive understanding of the latest developments in the field.
To further aid comprehension, the book includes pedagogical features such as unsolved problems and multiple-choice questions. These exercises challenge students to apply their knowledge and test their understanding of the material. By incorporating these features, the textbook ensures that students have a solid grasp of the concepts and are well-prepared for future applications in data mining and data warehousing.
In conclusion, this textbook is an essential resource for anyone seeking to delve into the world of data mining and data warehousing. Its comprehensive coverage, practical examples, and pedagogical features make it an invaluable tool for students, professionals, and researchers alike. Whether you are a beginner or an experienced practitioner, this book will provide you with the knowledge and skills necessary to succeed in this rapidly evolving field.
Weight: 664g
Dimension: 240 x 183 x 21 (mm)
ISBN-13: 9781108727747
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