Mining time series data by a fuzzy linguistic summary system

In this paper, we are interested in mining the data with natural ordering a ccording to some attributes, and the time series data is one of this kind o f data. The problem of mining the time series data is that the quantity at different time may be very close or even equal to each other. To solve this problem, we propose a fuzzy linguistic summary as one of the data mining f unctions in our KDD (Knowledge Discovery in Databases) system to discover u seful knowledge from the database. To help users to premine a database, our system also provides a graphic display tool so that the users can predeter mine what knowledge could be discovered from the database. To demonstrate t hat our system works correctly, we use our system to analyze a time series data problem, the resources usage analysis problem, to predict the utilizat ion ranks of different resources at a specific time. (C) 2000 Elsevier Scie nce B.V. All rights reserved.