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IJSRDV2I4231.pdf

🔗 Source: ijsrd.com

📊 Size: 344 KB

👤 Author: ijsrd

⬇️ Downloads: 100

Summary

Sequential pattern mining is a crucial task in data mining, as it helps to uncover hidden patterns and relationships in data. The paper discusses various techniques for sequential pattern mining, including frequent item sets, association rules, and time-series data mining. It also highlights the importance of considering time stamps in data mining and introduces the concept of sequential rules, which can be used to make more accurate and useful predictions. The paper reviews existing algorithms for mining sequential rules, including those proposed by Das et al. and Harms et al., and discusses their limitations. Finally, it introduces the Recursive Prefix Suffix Pattern detection (RPSP) algorithm, which is an efficient bi-directional sequential pattern mining approach.

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Description

Sequential pattern mining is a crucial task in data mining, as it helps to uncover hidden patterns and relationships in data.

Technical Information

File Format: PDF
File Size: 344 KB
Pages: 2
Language: EN
Author: ijsrd
Total Downloads: 100
Last Updated: 7 hours ago

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