Introduction to Data Mining and its Applications

• Κύριοι συγγραφείς: Sumathi, S. (Συγγραφέας), Sivanandam, S. N. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
• Σειρά: Studies in Computational Intelligence, 29
• Θέματα: Computer science.; Data mining.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Computer Science.; Data Mining and Knowledge Discovery.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).

This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing wor...

Πίνακας περιεχομένων:

• to Data Mining Principles
• Data Warehousing, Data Mining, and OLAP
• Data Marts and Data Warehouse
• Evolution and Scaling of Data Mining Algorithms
• Emerging Trends and Applications of Data Mining
• Data Mining Trends and Knowledge Discovery
• Data Mining Tasks, Techniques, and Applications
• Data Mining: an Introduction – Case Study
• Data Mining & KDD
• Statistical Themes and Lessons for Data Mining
• Theoretical Frameworks for Data Mining
• Major and Privacy Issues in Data Mining and Knowledge Discovery
• Active Data Mining
• Decomposition in Data Mining - A Case Study
• Data Mining System Products and Research Prototypes
• Data Mining in Customer Value and Customer Relationship Management
• Data Mining in Business
• Data Mining in Sales Marketing and Finance
• Banking and Commercial Applications
• Data Mining for Insurance
• Data Mining in Biomedicine and Science
• Text and Web Mining
• Data Mining in Information Analysis and Delivery
• Data Mining in Telecommunications and Control
• Data Mining in Security.