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Data Mining and Data Warehousing | Udit Agarwal | 2nd Edition (2016) | S.K. Kataria & Sons (English Medium)
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| 484-595 |
[Shipping Cost = Standard Mode, Expedite Mode]
Data Mining and Data Warehousing | Udit Agarwal | 2nd Edition (2016) | S.K. Kataria & Sons (English Medium)
Data Mining and Data Warehousing, written by Udit Agarwal, is a comprehensive guide to understanding the concepts and techniques of data mining and data warehousing. This second edition, published in 2016 by S.K. Kataria & Sons, provides updated information on the latest trends and developments in the field. The book covers a wide range of topics related to data mining and data warehousing, including data preprocessing, data mining algorithms, clustering, classification, association rule mining, decision trees, neural networks, genetic algorithms, and more. It also delves into the various components of data warehousing such as ETL (extract-transform-load) processes, OLAP (online analytical processing), data modeling, and multidimensional databases. One of the key features of this book is its practical approach to learning. The author provides numerous examples and case studies to help readers understand how to apply the concepts discussed in real-world scenarios. Additionally, each chapter includes review questions and exercises that allow readers to test their understanding of the material covered. Whether you are a student looking to expand your knowledge of data mining and data warehousing or a professional seeking to enhance your skills in these areas, this book is an invaluable resource. It serves as a comprehensive reference guide that covers all aspects of these important fields in a clear and concise manner. Overall, Data Mining and Data Warehousing by Udit Agarwal is a must-have for anyone interested in gaining a deeper understanding of how to extract valuable insights from large datasets and effectively manage organizational data for decision-making purposes.
Search Keywords - Data Mining, Data Warehousing, Udit Agarwal, S.K. Kataria & Sons, Data Mining techniques, Data Warehousing concepts, Second Edition 2016, Data Preprocessing, ETL processes, OLAP, Multidimensional databases, Clustering algorithms, Classification methods, Association rule mining, Decision trees, Neural networks, Genetic algorithms, Data modeling, Practical examples, Case studies
Data Mining and Data Warehousing, written by Udit Agarwal, is a comprehensive guide to understanding the concepts and techniques of data mining and data warehousing. This second edition, published in 2016 by S.K. Kataria & Sons, provides updated information on the latest trends and developments in the field. The book covers a wide range of topics related to data mining and data warehousing, including data preprocessing, data mining algorithms, clustering, classification, association rule mining, decision trees, neural networks, genetic algorithms, and more. It also delves into the various components of data warehousing such as ETL (extract-transform-load) processes, OLAP (online analytical processing), data modeling, and multidimensional databases. One of the key features of this book is its practical approach to learning. The author provides numerous examples and case studies to help readers understand how to apply the concepts discussed in real-world scenarios. Additionally, each chapter includes review questions and exercises that allow readers to test their understanding of the material covered. Whether you are a student looking to expand your knowledge of data mining and data warehousing or a professional seeking to enhance your skills in these areas, this book is an invaluable resource. It serves as a comprehensive reference guide that covers all aspects of these important fields in a clear and concise manner. Overall, Data Mining and Data Warehousing by Udit Agarwal is a must-have for anyone interested in gaining a deeper understanding of how to extract valuable insights from large datasets and effectively manage organizational data for decision-making purposes.
Search Keywords - Data Mining, Data Warehousing, Udit Agarwal, S.K. Kataria & Sons, Data Mining techniques, Data Warehousing concepts, Second Edition 2016, Data Preprocessing, ETL processes, OLAP, Multidimensional databases, Clustering algorithms, Classification methods, Association rule mining, Decision trees, Neural networks, Genetic algorithms, Data modeling, Practical examples, Case studies
Product Details
| SKU / BOOK Code: | SKKS-DMDW-UA-2E-2016-(E) |
| Publisher: | S.K. Kataria and Sons |
| Author: | Udit Agarwal |
| Binding Type: | Paperback |
| No. of Pages: | 400 |
| ISBN-10: | 9350144905 |
| ISBN-13: | 978-93-5014-490-9 |
| Edition: | 2nd edition |
| Language: | English Medium |
| Publish Year: | 2016-01 |
| Weight (g): | 650 |
| Product Condition: | New |
| Reading Age: | Above 10 Years |
| Country of Origin: | India |
| Genre: | Textbooks & Study Guides |
| Manufacturer: | S.K. Kataria and Sons |
| Importer: | S.K. Kataria and Sons |
| Packer: | Fullfilled by Supplier |
Product Description
Data Mining and Data Warehousing | Udit Agarwal | 2nd Edition (2016) | S.K. Kataria & Sons (English Medium)
Data Mining and Data Warehousing, written by Udit Agarwal, is a comprehensive guide to understanding the concepts and techniques of data mining and data warehousing. This second edition, published in 2016 by S.K. Kataria & Sons, provides updated information on the latest trends and developments in the field. The book covers a wide range of topics related to data mining and data warehousing, including data preprocessing, data mining algorithms, clustering, classification, association rule mining, decision trees, neural networks, genetic algorithms, and more. It also delves into the various components of data warehousing such as ETL (extract-transform-load) processes, OLAP (online analytical processing), data modeling, and multidimensional databases. One of the key features of this book is its practical approach to learning. The author provides numerous examples and case studies to help readers understand how to apply the concepts discussed in real-world scenarios. Additionally, each chapter includes review questions and exercises that allow readers to test their understanding of the material covered. Whether you are a student looking to expand your knowledge of data mining and data warehousing or a professional seeking to enhance your skills in these areas, this book is an invaluable resource. It serves as a comprehensive reference guide that covers all aspects of these important fields in a clear and concise manner. Overall, Data Mining and Data Warehousing by Udit Agarwal is a must-have for anyone interested in gaining a deeper understanding of how to extract valuable insights from large datasets and effectively manage organizational data for decision-making purposes.
Search Keywords - Data Mining, Data Warehousing, Udit Agarwal, S.K. Kataria & Sons, Data Mining techniques, Data Warehousing concepts, Second Edition 2016, Data Preprocessing, ETL processes, OLAP, Multidimensional databases, Clustering algorithms, Classification methods, Association rule mining, Decision trees, Neural networks, Genetic algorithms, Data modeling, Practical examples, Case studies
Data Mining and Data Warehousing, written by Udit Agarwal, is a comprehensive guide to understanding the concepts and techniques of data mining and data warehousing. This second edition, published in 2016 by S.K. Kataria & Sons, provides updated information on the latest trends and developments in the field. The book covers a wide range of topics related to data mining and data warehousing, including data preprocessing, data mining algorithms, clustering, classification, association rule mining, decision trees, neural networks, genetic algorithms, and more. It also delves into the various components of data warehousing such as ETL (extract-transform-load) processes, OLAP (online analytical processing), data modeling, and multidimensional databases. One of the key features of this book is its practical approach to learning. The author provides numerous examples and case studies to help readers understand how to apply the concepts discussed in real-world scenarios. Additionally, each chapter includes review questions and exercises that allow readers to test their understanding of the material covered. Whether you are a student looking to expand your knowledge of data mining and data warehousing or a professional seeking to enhance your skills in these areas, this book is an invaluable resource. It serves as a comprehensive reference guide that covers all aspects of these important fields in a clear and concise manner. Overall, Data Mining and Data Warehousing by Udit Agarwal is a must-have for anyone interested in gaining a deeper understanding of how to extract valuable insights from large datasets and effectively manage organizational data for decision-making purposes.
Search Keywords - Data Mining, Data Warehousing, Udit Agarwal, S.K. Kataria & Sons, Data Mining techniques, Data Warehousing concepts, Second Edition 2016, Data Preprocessing, ETL processes, OLAP, Multidimensional databases, Clustering algorithms, Classification methods, Association rule mining, Decision trees, Neural networks, Genetic algorithms, Data modeling, Practical examples, Case studies
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