26-06-2014, 11:50 AM
Data Mining System Products and Research Prototypes
Data Mining System.ppt (Size: 294 KB / Downloads: 18)
Data Mining is a relatively young field with many issues that still need to be researched in depth.
They are already great many off-the-shelf data mining system products and domain-specific data mining application software available.
A new Data Mining system appear on the market every year; new functions features, and visualization tools are added to existing system on a constant basis.
Data Types:
Most data mining systems that are available on the market handle formatted, Record-Based, Relational-Like Data with Numerical, Categorical, and Symbolic Attributes.
System issues:
A given data mining system may run on only one operating system, or on several. The most popular operating systems that host data mining software are UNIX and Microsoft Windows (including 95, 98, 2000, and NT). There are also data mining systems that run on OS/2, Macintosh, and Linux.
Large industry-oriented data mining systems should ideally adopt a client/server architecture, where the client could be a personal computer running on Microsoft Windows, and the server could be a set of powerful parallel computers running on UNIX.
A recent trend has data mining systems providing Web-based interfaces and allowing XML data as input and/or output.
Coupling data mining with database anti/or data warehouse systems
A data mining system should be coupled with a database and/or data warehouse system, where the coupled components are seamlessly integrated into a uniform information processing environment.
In general, there are four forms of such coupling:
No Coupling,
Data ruining query language and graphical user interface:
Data mining is an exploratory process. An easy-to-use and high-quality graphical user interface is essential in order to promote user-guided, highly interactive data mining.
Most data mining systems provide user-friendly interfaces for mining. Most data mining systems do not share any underlying data mining query language.
Lack of a standard data mining language makes it difficult to standardize data mining products and to ensure the interoperability of data mining systems.
Recent efforts at defining and standardizing data mining query languages, one such language are Microsoft’s OLEDB for