Data mining and the data warehouse The knowledge discovery process Setting up a KDD environment Some real-life applications Some formal aspects of learning algorithms, Most chapters begin with "Introduction", while all chapters finish with "Conclusion". Overview of the Book. An Expanding Universe of Data. Information as a Production Factor. Computer Systems That Can Learn. Data Mining.
| Author: | Voodoolkree Fausar |
| Country: | Croatia |
| Language: | English (Spanish) |
| Genre: | Career |
| Published (Last): | 26 December 2013 |
| Pages: | 376 |
| PDF File Size: | 2.29 Mb |
| ePub File Size: | 1.6 Mb |
| ISBN: | 759-2-54245-631-2 |
| Downloads: | 63788 |
| Price: | Free* [*Free Regsitration Required] |
| Uploader: | Taut |
Data mining and the data warehouse The knowledge discovery process Setting up a KDD environment Some real-life applications Some formal aspects of learning algorithms, Most chapters begin with "Introduction", while all chapters finish with "Conclusion".
Overview of the Book. An Expanding Universe of Data. Information as a Production Factor. Computer Systems That Can Learn. Data Mining. Data Mining Versus Query Tools. Data Mining in Marketing. Practical Applications of Data Mining. What is Learning? Self-Learning Computer Systems. Machine Learning and the Methodology of Science. Concept Learning. A Kangaroo in Mist. Data Mining and the Data Warehouse.
Designing Decision Support Systems. Integration With Data Mining. Multi-Processing Machine. Cost Justification. The Knowledge Discovery Process. The Knowledge Discovery Process in Detail. Data Selection. Visualization Techniques.
Likelihood and Distance. OLAP Tools. K-Nearest Neighbour. Decision Trees. Association Rules. Neural Networks. Genetic Algorithms. Setting Up a Kdd Environment. Different Forms of Knowledge. Getting Started. The KDD Environment. Ten Golden Rules. Some Real-Life Applications. Customer Profiling.
Predicting Bid Behaviour of Pilots. Discovering Foreign Key Relationships. Some Formal Aspects of Learning Algorithms. Learning as Compression of Data Sets. The Information Content of a Message. Noise and Redundancy. The Significance of Noise.
Fuzzy Databases. The Traditional Theory of the Relational Database. From Relations To Tables. From Keys To Statistical Dependencies.
Data Mining Primitives. Further Reading.
DIDEROT BRECHT EISENSTEIN PDF
Data Mining Pieter Adriaans, Dolf Zantinge - PowerPoint PPT Presentation
Data mining and the data warehouse. Other Authors Zantinge, Dolf. Setting up a data mining environment is not a trivial task, and the long term aim is to create a self-learning organization that makes optimal use of the information it generates. Ir directamente al contenido principal.
BETRIEBSSYSTEME EDUARD GLATZ PDF
DATA MINING BY PIETER ADRIAANS PDF
.
DIVERTIMENTOS MATEMATICOS BRIAN BOLT PDF
DATA MINING PIETER ADRIAANS DOLF ZANTINGE PDF
.
H11AA1 PDF
Data Mining by Pieter Adriaans and Dolf Zantinge (1996, Paperback)
.