Binary Matrix Approach for Mining Frequent Sequential Pattern in Large Databases

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
Data mining is the computational process of discovering patterns in large datasets involving methods at the intersection of artificial intelligence, machine learning, statistics, and systems. Mining sequential patterns from inaccurate or uncertain data, such as those data arising from sensor readings and GPS trajectories, is important for discovering hidden knowledge in such applications. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Here this paper was proposed to find the frequent sequential patterns in a large uncertain database.

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