<p><P>Data warehousing and data mining provide techniques for collecting information from distributed databases and for performing data analysis. The ever expanding, tremendous amount of data collected and stored in large databases has far exceeded our human ability to comprehend--without the proper
Data Modeling Techniques for Data Warehousing
β Scribed by IBM Redbooks
- Publisher
- Ibm
- Year
- 1998
- Tongue
- English
- Leaves
- 216
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
<p>This book presents Hyper-lattice, a new algebraic model for partially ordered sets, and an alternative to lattice. The authors analyze some of the shortcomings of conventional lattice structure and propose a novel algebraic structure in the form of Hyper-lattice to overcome problems with lattice.
Written in lucid language, this valuable textbook brings together fundamental concepts of data mining and data warehousing in a single volume. Important topics including information theory, decision tree, NaΓ―ve Bayes classifier, distance metrics, partitioning clustering, associate mining, data marts
Written in lucid language, this valuable textbook brings together fundamental concepts of data mining and data warehousing in a single volume. Important topics including information theory, decision tree, NaΓ―ve Bayes classifier, distance metrics, partitioning clustering, associate mining, data marts
Intelligent Techniques for Warehousing and Mining Sensor Network Data presents fundamental and theoretical issues pertaining to data management. Covering a broad range of topics on warehousing and mining sensor networks, this advanced title provides significant industry solutions to those in databas