Data mining techniques using decision tree model in materialised projection and selection view

With the availability of very large data storage today, redundant data
structures are no longer a big issue. However, an intelligent way of managing
materialised projection and selection views that can lead to fast access of
data is the central issue dealt with in this paper. A set of implementation
steps for the data warehouse administrators or decision makers to improve
the response time of queries is also defined. The study concludes that both
attributes and tuples, are important factors to be considered to improve the
response time of a query. The adoption of data mining techniques in the
physical design of data warehouses has been shown to be useful in practice.