Data Mining and Data Warehousing
| Learning Data Mining, Machine Learning, Data Warehousing Simplified Manner |
| Dear Friends Data Mining and Data Warehousing: Principles and Practical Techniques Written in lucid language, this valuable textbook brings together fundamental concepts of data mining, machine learning and data warehousing in a single volume. Important topics including information theory, decision tree, Naïve Bayes classifier, distance metrics, partitioning clustering, associate mining, data marts, and operational data store are discussed comprehensively. The textbook is written to cater to the needs of undergraduate students of computer science, engineering and information technology for a course on data mining and data warehousing or machine learning. The text simplifies the understanding of the concepts through exercises and practical examples. Chapters such as classification, associate mining and cluster analysis are discussed in detail with their practical implementation using Weka and R language data mining tools. Advanced topics including big data analytics, NoSQL and web mining are discussed in detail. Pedagogical features including unsolved problems and multiple-choice questions are interspersed throughout the book for better. Please review it and recommend it to your students and the Institute library. To download the PPTs To Order the Book |
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| Table of Contents |
| Data Mining and Data Warehousing Preface Acknowledgment Dedication 1. Beginning with machine learning 2. Introduction to data mining 3. Beginning with Weka and R language 4. Data pre-processing 5. Classification 6. Implementing classification in Weka and R 7. Cluster analysis 8. Implementing clustering with Weka and R 9. Association mining 10. Implementing association mining with Weka and R 11. Web mining and search engine 12. Operational data store and data warehouse 13. Data warehouse schema 14. Online analytical processing 15. Big data and NoSQL Reference Index. Read More » |
| About the Author |
| Parteek Bhatia Dr. Bhatia is an Associate Professor in the Department of Computer Science and Engineering at Thapar Institute of Engineering and Technology, Patiala. He has more than twenty years of teaching experience and has published papers in journals. His current research includes natural language processing, machine learning and human-computer interface. He has taught courses including data mining and data warehousing, big data analysis and database management system at undergraduate and graduate levels. He also runs online courses at Udemy portal. Read More » |
| Books from the Same Authors |
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| Beginning with SQL It covers creation of tables, joining of tables, grouping of data, sub queries etc. in simplified manner to train learners on basic concepts quickly and better prepare them for placements and interviews. Explore this book » NoSQL in a Day It covers NoSQL, Its models and Big Data in simplified manner to train learners on advanced concepts quickly and better prepare them for placements and interviews. It is specially designed in kindle format to facilitate learning anywhere, anytime from smart phone. Explore this book » |
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