TEMPORAL SEQUENTIAL PATTERN IN DATA MINING TASKS

Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 7

Abstract

The rapid increase in the data available leads to the difficulty for analyzing those data and different types of frameworks are required for unearthing useful knowledge that can be extracted from such databases. The field of temporal data mining is relatively young and one expects to see many new developments in the near future. In all data mining applications, the primary constraint is the large volume of data. Hence there is always a need for efficient algorithms. This paper gives an overview of the temporal data mining task and highlights the related work in this context.

Authors and Affiliations

DR. NAVEETA MEHTA , MS. SHILPA DANG

Keywords

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  • EP ID EP102875
  • DOI -
  • Views 109
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How To Cite

DR. NAVEETA MEHTA, MS. SHILPA DANG (2011). TEMPORAL SEQUENTIAL PATTERN IN DATA MINING TASKS. International Journal on Computer Science and Engineering, 3(7), 2674-2678. https://europub.co.uk/articles/-A-102875