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Data can be assigned with classes or concepts. It can be useful to describe individual classes and concepts and in summarized, concise, and yet precise terms. Such descriptions of a class or a concept are called Class or Concept Description.
These descriptions can be derived via-
a) Data characterization, by summarizing the data of the class under […]
The process of grouping a set of physical or abstract objects into classes of similar objects is called clustering. a cluster is a collection of data objects that are similar to one another with in the same cluster and are dissimilar to the objects in other clusters, a cluster of data objects can be treated […]
Clap for OLAP, coz its online analytical processing technique with functionality such as summarization, aggregation and consolidation as well as the ability to view information from different spectrum of angles. This OLAP system manages large amount of historical data and stores-manage diferent levels of granuality. These features make the data easier to use and informed […]
After virtual 3D games, here comes virtual data warehouse. Actually it’s a set of views over operational databases. For most efficient query processing and navigation only some of the possible summary views may be materialized. A virtual data warehouse model is extremely easy to build but at the same time requires access capacity on operational […]
Data mining refers to extracting or “mining” knowledge from large amounts of data. A we know that mining of gold from rocks or sand is referred to as gold mining rather than rock or sand mining. Thus data mining should have been more appropriately named as “knowledge mining from data”.
Data mining has attracted a great […]