Data Mining Methods and Techniques

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Data Mining Methods and Techniques

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This text is written at an introductory level and provides real world problem analysis and practical examples as well as data mining theory to enable students to apply the concepts of data mining outside the classroom. This mix of theory and practical application makes this text directly suitable for a wide variety of undergraduate disciplines such as business computer science, students engineering, economics, statistics, marketing, information systems and information technology Table of Contents 1. Fundamentals of Data Mining 2. Data Processing and Data Warehouse 3. WEKA: An Attractive Data Mining Tool 4. The Classification Task 5. Artificial Neural Networks and Support Vector Machines 6. Model Evaluation Techniques 7. Association Rule Mining 8. The Clustering Task 9. The Estimation Task 10. Mining of Time Series 11. Text and Web Mining 12. Privacy, Security and Ethical Issues in Data Mining Table of Contents: 1. Fundamentals of Data Mining 2. Data Processing and Data Warehouse 3. WEKA: An Attractive Data Mining Tool 4. The Classification Task 5. Artificial Neural Networks and Support Vector Machines 6. Model Evaluation Techniques 7. Association Rule Mining 8. The Clustering Task 9. The Estimation Task 10. Mining of Time Series 11. Text and Web Mining 12. Privacy, Security and Ethical Issues in Data Mining


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This text is written at an introductory level and provides real world problem analysis and practical examples as well as data mining theory to enable students to apply the concepts of data mining outside the classroom. This mix of theory and practical application makes this text directly suitable for a wide variety of undergraduate disciplines such as business computer science, students engineering, economics, statistics, marketing, information systems and information technology Table of Contents 1. Fundamentals of Data Mining 2. Data Processing and Data Warehouse 3. WEKA: An Attractive Data Mining Tool 4. The Classification Task 5. Artificial Neural Networks and Support Vector Machines 6. Model Evaluation Techniques 7. Association Rule Mining 8. The Clustering Task 9. The Estimation Task 10. Mining of Time Series 11. Text and Web Mining 12. Privacy, Security and Ethical Issues in Data Mining Table of Contents: 1. Fundamentals of Data Mining 2. Data Processing and Data Warehouse 3. WEKA: An Attractive Data Mining Tool 4. The Classification Task 5. Artificial Neural Networks and Support Vector Machines 6. Model Evaluation Techniques 7. Association Rule Mining 8. The Clustering Task 9. The Estimation Task 10. Mining of Time Series 11. Text and Web Mining 12. Privacy, Security and Ethical Issues in Data Mining
Additional Information
Title Data Mining Methods and Techniques Height
Shawkat Ali Width
ISBN-13 9788131509517 Binding Paperback
ISBN-10 #8131509516 Spine Width
Publisher Cengage Learning India Pvt. Ltd Pages 312
Edition 2010 Availability In Stock

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