Searching for Periodicities in Data Series

• Autorzy: Nicolas Farmakis
• Języki publikacji: EN

Abstrakty

EN

A new idea for searching and mining latent periodicities from labeled data (time series, aminoacid or DNA sequences, etc.) is proposed. This new method is based on systematic sampling procedures. A materializing algorithm is proposed and some supporting theoretical results are given. This method is very useful for biologists, environmental researchers, financial researchers and managers, etc., etc. Also some illustrating examples are given. (original abstract)

Słowa kluczowe

EN

Algorithms; Mathematical statistics

PL

Algorytmy; Statystyka matematyczna

• Czasopismo: Statistics in Transition
• Rocznik: 2009
• Tom: 10
• Numer: nr 2
• Strony: 317--335

Twórcy

autor

Nicolas Farmakis

• Aristotle University of Thessaloniki, Greece

Bibliografia

• COCHRAN, W. (1977) "Sampling Techniques", John Wiley & Sons, New York, Toronto.
• FARMAKIS, N. (2002) "Introduction to Sampling", Editing A & P Cristodoulidi, Thessaloniki, (in Greek).
• KOROTKOV, E.V., KOROTKOVA, M.A. (1995) "Latent Periodicity of DNA Sequences from Some Human Gene Regions", DNA Sequence-The Journal of Sequencing and Mapping, Vol. 5, pp 353-358.
• PASQUIER, C., PROBONAS, V., VARVAYANNIS, N., HAMODRAKAS, S.(1998) "A Web Server to Locate Periodicities in a Sequence", Bioinformatics App. Note, Vol. 14, No 8, pp 749-750.
• THOMSON, M. E. (1997) "Theory of Sample Surveys", Chapman & Hall, London, New York.
• THOMSON, S. K. (1992) "Sampling", John Wiley & Sons, New York, Toronto.