DATA WAREHOUSING & DATA MINING

Data mining is due to the wide availability of huge amounts of data and the approach need for turning such data into useful information and knowledge. The information and knowledge gained can be used for applications ranging from market analysis, fraud detection, and customer retention, to production control and science exploration.Data mining can be viewed as a result of the natural evolution of information technology. The database system in the development of the following functionalities: data collection and database creation, data management (including data storage and retrieval, and database transaction processing), and advanced data analysis (involving data warehousing and data mining).

Evolution of Database Technology

1960s

Data collection, database creation, IMS and network DBMS

            Since the 1960s, database and information technology has been evolving systematically from primitive file processing systems to sophisticated and powerful database systems. The research and development in database systems

1970s

Relational data model, relational DBMS implementation

            Since the 1970s has progressed from early hierarchical and network database systems to the development of relational database systems (where data are stored in relational table structures; data modeling tools, and indexing and accessing methods.

Efficient methods for on-line transaction processing (OLTP).

1980s

RDBMS, advanced data models (extended-relational, OO, deductive, etc.)

   Research and development activities on new and powerful database systems

           Application-oriented DBMS (spatial, scientific, engineering, etc.)

1990s

Data mining, data warehousing, multimedia databases, and Web databases

2000

Stream data management and mining

Data mining and its applications

Web technology (XML, data integration) and global information systems.