Implementation Of Sequential Pattern Algorithms In Web Usage Mining.
Sequential pattern mining is a data-mining technique used for determining time-related behaviour in sequential databases. The information extracted from sequential pattern mining can be used in marketing fields, medical records, sales analysis, and so on. Several algorithms for maintaining sequentia...
| Published in: | Turkish Journal of Physiotherapy Rehabilitation Vol. 32; no. 2; pp. 539 - 546 |
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| Main Authors: | , , |
| Format: | tables/charts Journal Article |
| Published: |
Turkish Journal of Physiotherapy & Rehabilitation
2021
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| Online Access: | View this record in EBSCOhost |
| Summary: | Sequential pattern mining is a data-mining technique used for determining time-related behaviour in sequential databases. The information extracted from sequential pattern mining can be used in marketing fields, medical records, sales analysis, and so on. Several algorithms for maintaining sequential patterns have been developed. Although there have been many recent updates on the sequential patterns in static database. The complexity of sequential pattern mining increases in the dynamic database because of the insertion of new data sets. This paper characterizing sequential pattern-mining algorithms based on significant key highlights upheld by the strategies. This paper targets comprehension of sequential pattern mining issues. |
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