Taming surprises

Struzik, Z.R.

A methodological trajectory has been described dealing with the `novelty' or `surprise' issue in time series records arising from real world complex systems. It is based on extracting regularity (or scaling) characteristics of non-differentiable time series with wavelet transform, on modelling the complex system using multi-fractal properties and on investigating novelty in the context of the possible non-stationarity of such a model.

Additional Metadata
ACM	MODELS AND PRINCIPLES (acm H.1), PATTERN RECOGNITION (acm I.5), MISCELLANEOUS (acm J.m), PHYSICAL SCIENCES AND ENGINEERING (acm J.2), DATA STORAGE REPRESENTATIONS (acm E.2)
MSC	Fractals (msc 28A80), Pattern recognition, speech recognition (msc 68T10), Searching and sorting (msc 68P10)
THEME	Information (theme 2)
Publisher	CWI
Series	Information Systems [INS]
Organisation	Database Architectures
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Struzik, Z. R. (2002). Taming surprises. Information Systems [INS]. CWI.

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