Time-Series Prediction with Cloud Models in DMKD

Authors:
Rong Jiang;Deyi Li;Hui Chen
Affiliations:
-;-;-
Venue:
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Year:
1999

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Encoding words into Cloud models from interval-valued data via fuzzy statistics and membership function fitting

Knowledge-Based Systems

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Abstract

A growing attention has been paid to mining time-series knowledge, while time-series prediction becomes one of the important aspects of data mining and knowledge discovery (DMKD). This paper presents a new mechanism of time-series prediction with cloud models. This mechanism not only synthesizes different predictive knowledge with different granularities, but also combines two kinds of predictive strategy: local prediction and overall prediction. We focus this paper on the application of cloud models to transform between quantitative and qualitative knowledge, synthesize different kinds of knowledge and realize the soft inference.