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| Paper Title | : | Review on Periodicity Mining Techniques in Time Series Data |
| Author Name | : | Yogesh Malode, Rahila Patel |
| Abstract | : | The rapid growth in data and databases increased a need of powerful data mining technique that will guide to analyze, forecast and predict behaviour of events. Periodicity mining needs to give more attention as its increased need in real life applications. In this paper, we are going to discuss on various periodicity mining techniques in Time Series Databases as well as symbolization. Here, we propose a periodicity mining technique that will detect various periodic patterns (symbol periodicity, sequence or partial periodicity, segment or full cycle periodicity) in time series databases using Fast Fourier Transform. |
| Keywords | : | Time Series Database, Periodic Pattern, Periodicity Mining, Symbol Periodicity, Sequence or Partial Periodicity, Segment or Full Cycle Periodicity. |
| Cite this article | : | Yogesh Malode, Rahila Patel " Review on Periodicity Mining Techniques in Time Series Data " ,ICETT-2012 ,Page No : 212-216. |
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