Abstract-Traditional data warehouse mainly adopts methods of
data organization of dual level of granularity, partitioning data
and so on, which are department-oriented or OLAP and cannot
satisfy the need of customized data analysis. The article proposes
a method of data organization in data warehouse based on
predicate classification through analyzing conditions (predicate)
of former queries and statistics. The method, which bases on
affinitive frequency structures an equivalence relation, generates
relative materialized views through predicate classification and
selection of core predicate in order to form customer-oriented
method of data organization in data warehouse. In sum, this
method improves the efficiency of data analysis for customers
and provides a new quotable method for organizing data in data
warehouse.