In this chapter, we first introduce the various fuzzy sequential pattern approaches and the general principles they are based on. Then, we focus on a complete ...
The proposed algorithm integrates the concepts of fuzzy sets and the AprioriAll algorithm to find interesting sequential patterns and fuzzy association rules ...
The proposed algorithm integrates fuzzy set concepts and the Aprioriall mining algorithm to find fuzzy similar sequential patterns in a given transaction data ...
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Sep 17, 2005 · Since sequential patterns are also very important for real-world applications, this paper thus focuses on finding fuzzy sequential patterns from ...
The objective of mining quantitative sequential patterns is to discover complete sets of sequential patterns with quantities in databases.
Since sequential patterns are also very important for real-world applications, this paper thus focuses on finding fuzzy sequential patterns from quantitative ...
Since sequential patterns are also very important for real-world applications, this paper thus focuses on finding fuzzy sequential patterns from quantitative ...
The problem is to mine the exact set of constrained fuzzy sequential patterns over a quantitative data stream. Let I = {I1,. I2, … , Ip} be the set of all ...
Sep 17, 2005 · The patterns mined out thus exhibit the sequential quantita- tive regularity in databases and can be used to provide some suggestions to ...
Given a sequence database and minimum support threshold, the goal of mining quantitative sequential patterns is to discover the complete set of sequential ...