multi-dimensional data

Experiment results prove that this refined algorithm has better clustering results on multi-dimensional data set than SNN algorithm.

An R-Tree data structure stores information about multi-dimensional data and is used for indexes on spatial or geographical data.

Pattern recognition in multi-dimensional data classification is an import- ant research topic.

Fourthly, using MDX language and ADO MD as a multi-dimensional data access interface to visit scientific research data.

Maintenance management in the tobacco industry introduction to operation cost, the cost of access to multi-dimensional data.

CART decision tree has outstanding advantages on the issue of classification in dealing with multi-dimensional data with complex structure.

Proposed dynamic clustering algorithm has strong robustness in clustering of time series multi-dimensional data.

A new visualizing technique for multi-dimensional data is proposed, which effectively integrates the information of typhoon.

Then, it uses multi-dimensional data modeling technology to improve a logistics data warehouse information model.

The method is a new way of thinking. The experiment results show good in solving the multi-dimensional data.

A dynamic clustering algorithm was proposed based on consistent matrix of dependent function for time series multi-dimensional data.

This paper presented a method of construction of multi-dimensional data model based on relation databases and XML technology.

Then it construct data warehouse and make the multi-dimensional data set of customers category, service type and time and so on.

Dynamic Selection of Materialized Views of Multi-Dimensional Data