In this paper, we consider the problem of the incremental mining of sequential patterns when new transactions or new customers are added to an original ...
ABSTRACT. Many real life sequence databases grow incrementally. It is undesirable to mine sequential patterns from scratch each.
In this study, we develop an efficient algorithm, IncSpan, for incremental mining of sequential patterns, by exploring some interesting properties. Our ...
Mar 4, 2002 · In this paper we consider the problem of the incremental mining of sequential patterns when new transactions or new customers are added to ...
Improvements of IncSpan: Incremental Mining of Sequential Patterns in ...
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Recently, a new incremental mining algorithm, called IncSpan was proposed at the International Conference on Knowledge Discovery and Data Mining (KDD'04).
Abstract: Mining of sequential patterns in a transactional database is time consuming due to its complexity. Maintaining present patterns is a non-trivial ...
In this paper, we consider the problem of the incremental mining of sequential patterns when new transactions or new customers are added to an original ...
The goal of incremental mining is to efficiently and incrementally mine patterns when a database is updated as opposed to mining all of the patterns from ...
Experimental evaluation supports the claim that sequential pattern mining based on biased reservoir sampling needs small memory requirements. Besides, we also ...
In this study, we develop an efficient algorithm, IncSpan, for incremental mining of sequential patterns, by exploring some interesting properties. Our ...