DATA MINING PIETER ADRIAANS DOLF ZANTINGE PDF

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. You have successfully signed out and will be required to sign back in should you need to download more resources. El vendedor asume toda la responsabilidad de este anuncio.

Author:Meztitilar Magore
Country:Timor Leste
Language:English (Spanish)
Genre:Music
Published (Last):21 August 2007
Pages:500
PDF File Size:17.65 Mb
ePub File Size:8.1 Mb
ISBN:691-2-23325-132-5
Downloads:15226
Price:Free* [*Free Regsitration Required]
Uploader:Arashigar



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.

BHAVARTHA RATNAKARA PDF

Data Mining Pieter Adriaans, Dolf Zantinge - PowerPoint PPT Presentation

Australian Institute of Management. Wagga Wagga Campus Library. My library Help Advanced Book Search. Preeti Gangwar marked it as to-read May 24, Though I would recommend that you know the basic of data mining in depth data mining by pieter adriaans understand the data mining by pieter adriaans much better. Kashish Srivastava marked it as to-read Jan 04, Be the first to add this to a list. Custom textbooks and eBooks Pick and choose content from one or more texts plus carefully-selected third-party content, and combine it into a bespoke book, unique to your course. Hakan Kjellerstrand rated it it was ok Apr 05, Guru marked it as to-read Nov 27, To ask other readers questions about Data Miningplease sign up.

INTERPROCESS COMMUNICATIONS IN UNIX THE NOOKS AND CRANNIES PDF

DATA MINING PIETER ADRIAANS DOLF ZANTINGE PDF

.

BRIAN SETZER LEGENDARY LICKS PDF

Data mining

.

Related Articles