Data Mining A Knowledge Discovery Approach /

• Κύριοι συγγραφείς: Cios, Krzysztof J. (Συγγραφέας), Swiniarski, Roman W. (Συγγραφέας), Pedrycz, Witold (Συγγραφέας), Kurgan, Lukasz A. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US, 2007.
• Θέματα: Computer science.; Database management.; Data mining.; Information storage and retrieval.; Artificial intelligence.; Pattern recognition.; Statistics.; Computer Science.; Database Management.; Artificial Intelligence (incl. Robotics).; Data Mining and Knowledge Discovery.; Information Storage and Retrieval.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Pattern Recognition.

This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribe the sequence in which data mining projects should be performed. Data Mining offers an authoritative treatment of all development phases from problem and data understanding through da...

Πίνακας περιεχομένων:

• Data Mining and Knowledge Discovery Process
• The Knowledge Discovery Process
• Data Understanding
• Data
• Concepts of Learning, Classification, and Regression
• Knowledge Representation
• Data Preprocessing
• Databases, Data Warehouses, and OLAP
• Feature Extraction and Selection Methods
• Discretization Methods
• Data Mining: Methods for Constructing Data Models
• Unsupervised Learning: Clustering
• Unsupervised Learning: Association Rules
• Supervised Learning: Statistical Methods
• Supervised Learning: Decision Trees, Rule Algorithms, and Their Hybrids
• Supervised Learning: Neural Networks
• Text Mining
• Data Models Assessment
• Assessment of Data Models
• Data Security and Privacy Issues
• Data Security, Privacy and Data Mining.