Data Mining and OLAP# Database - 数据库
p*y
1 楼
Data mining and OLAP are two different processes.
OLAP helps users to perform many kinds of queries, which are useful for
analysis. The input of OLAP is ad-hoc queries that are usually complex. The
output of OLAP is the query result -- tuples. The goal of OLAP is to support
all kind queries and to perform the queries efficiently and correctly. It
requires specific query evaluation algorithms and query optimization in
support of long-running, CPU intensive queries. The inputted queries are
usuall
OLAP helps users to perform many kinds of queries, which are useful for
analysis. The input of OLAP is ad-hoc queries that are usually complex. The
output of OLAP is the query result -- tuples. The goal of OLAP is to support
all kind queries and to perform the queries efficiently and correctly. It
requires specific query evaluation algorithms and query optimization in
support of long-running, CPU intensive queries. The inputted queries are
usuall