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Sequential pattern mining is a topic of data mining concerned with finding statistically relevant patterns between data examples where the values are delivered in a sequence. It is usually presumed that the values are discrete, and thus time series mining is closely related, but usually considered a different activity.
Jan 3, 1991 · Abstract. Sequence data arise naturally in many applica- tions, and can be viewed as an ordering of events,.
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In this paper, we study the problem of mining for frequent episodes in sequence data. We present a framework for efficient mining of frequent episodes which ...
Aug 27, 1998 · In this paper, we study the problem of mining for frequent episodes in sequence data. We present a framework for efficient mining of frequent ...
Sequential pattern mining extracts frequent subsequences from a sequence database which is helpful in making predictions, improving usability of systems, detect ...
The goal of sequence mining is to discover interesting patterns in data with respect to some subjective or objective measure of how interesting it is. Typically ...
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May 19, 2022 · Sequence Pattern Mining identifies a set of items which occur sequentially in a specific order. Learn the application, types and algorithms ...
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Sep 23, 2021 · Sequential pattern mining (SPM) [2] involves discovering frequent subsequences as patterns from a database that consists of ordered event ...
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Sequential pattern mining, a well-studied and important issue in data mining field, is for discovering frequent subsequences as patterns in a sequence database.
May 24, 2022 · The act of finding patterns and other valuable information from huge data sets is known as Data Mining. It is sometimes known as Knowledge ...
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