Mining Positive and Negative Sequential Pattern in Incremental Transaction Databases

Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
Positive and negative sequential patterns mining is used to discover interesting sequential patterns in a incremental transaction databases, and it is one of the essential data mining tasks widely used in various application fields. Implementation of this approach, construct tree for appended transactions and will merge this tree with existing tree to get the Updated tree. Positive and negative sequential Patterns mining is an aim to find more interesting sequential patterns, considering the minimum support of each data item in a sequence database.

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