Backtrack Pattern Collection Algorithm for Mining Closed Sequential Patterns

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Provided by: AICIT
Topic: Big Data
Format: PDF
Generation of data with an inherent sequential nature is the order of today's digital society. This kind of data is composed of discrete events that have either a temporal or spatial ordering and is generally obtained by sectors like telecommunication networks, e-commerce, Internet servers and gene databases, medical domain to name a few. The ability to explore and exploit the sequential nature of the data for prediction leverages strategic decision making and problem solving. Symbolic sequence data consists of long sequence of ordered events with possible relationships among them.
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