Linguistic summarization of time series under different granulation of describing features

J. Kacprzyk; A. Wilbik; S. Zadrozny

doi:10.1007/978-3-540-73451-2_25

Linguistic summarization of time series under different granulation of describing features

J. Kacprzyk, A. Wilbik, S. Zadrozny

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

28 Citations (Scopus)

Abstract

We consider an extension to a new approach to the linguistic summarization of time series data proposed in our previous papers. We summarize trends identified here with straight segments of a piecewise linear approximation of time series. Then we employ, as a set of features, the duration, dynamics of change and variability, and assume different, human consistent granulations of their values. The problem boils down to a linguistic quantifier driven aggregation of partial trends that is done via the classic Zadeh’s calculus of linguistically quantified propositions but with different t-norms. We show an application to linguistic summarization of time series data on daily quotations of an investment fund over an eight year period.

Original language	English
Title of host publication	Rough Sets and Intelligent Systems Paradigms
Subtitle of host publication	International Conference, RSEISP 2007, Warsaw, Poland, June 28-30, 2007. Proceedings
Editors	M. Kryszkiewicz, J.F. Peters, H. Rybinski, A. Skowron
Place of Publication	Berlin
Publisher	Springer
Chapter	25
Pages	230-240
Number of pages	11
ISBN (Electronic)	978-3-540-73451-2
ISBN (Print)	978-3-540-73450-5
DOIs	https://doi.org/10.1007/978-3-540-73451-2_25
Publication status	Published - 2007
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (LNCS)
Volume	4585
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Name	Lecture Notes in Artificial Intelligence (LNAI)
Volume	4585
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Access to Document

10.1007/978-3-540-73451-2_25

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Kacprzyk, J., Wilbik, A., & Zadrozny, S. (2007). Linguistic summarization of time series under different granulation of describing features. In M. Kryszkiewicz, J. F. Peters, H. Rybinski, & A. Skowron (Eds.), Rough Sets and Intelligent Systems Paradigms: International Conference, RSEISP 2007, Warsaw, Poland, June 28-30, 2007. Proceedings (pp. 230-240). (Lecture Notes in Computer Science (LNCS); Vol. 4585), (Lecture Notes in Artificial Intelligence (LNAI); Vol. 4585). Springer. https://doi.org/10.1007/978-3-540-73451-2_25

Kacprzyk, J. ; Wilbik, A. ; Zadrozny, S. / Linguistic summarization of time series under different granulation of describing features. Rough Sets and Intelligent Systems Paradigms: International Conference, RSEISP 2007, Warsaw, Poland, June 28-30, 2007. Proceedings. editor / M. Kryszkiewicz ; J.F. Peters ; H. Rybinski ; A. Skowron. Berlin : Springer, 2007. pp. 230-240 (Lecture Notes in Computer Science (LNCS)). (Lecture Notes in Artificial Intelligence (LNAI)).

@inproceedings{a25080ca0d454ccaad2b094bae52ae9d,

title = "Linguistic summarization of time series under different granulation of describing features",

abstract = "We consider an extension to a new approach to the linguistic summarization of time series data proposed in our previous papers. We summarize trends identified here with straight segments of a piecewise linear approximation of time series. Then we employ, as a set of features, the duration, dynamics of change and variability, and assume different, human consistent granulations of their values. The problem boils down to a linguistic quantifier driven aggregation of partial trends that is done via the classic Zadeh{\textquoteright}s calculus of linguistically quantified propositions but with different t-norms. We show an application to linguistic summarization of time series data on daily quotations of an investment fund over an eight year period.",

author = "J. Kacprzyk and A. Wilbik and S. Zadrozny",

year = "2007",

doi = "10.1007/978-3-540-73451-2_25",

language = "English",

isbn = "978-3-540-73450-5",

series = "Lecture Notes in Computer Science (LNCS)",

publisher = "Springer",

pages = "230--240",

editor = "M. Kryszkiewicz and J.F. Peters and H. Rybinski and A. Skowron",

booktitle = "Rough Sets and Intelligent Systems Paradigms",

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}

Kacprzyk, J, Wilbik, A & Zadrozny, S 2007, Linguistic summarization of time series under different granulation of describing features. in M Kryszkiewicz, JF Peters, H Rybinski & A Skowron (eds), Rough Sets and Intelligent Systems Paradigms: International Conference, RSEISP 2007, Warsaw, Poland, June 28-30, 2007. Proceedings. Lecture Notes in Computer Science (LNCS), vol. 4585, Lecture Notes in Artificial Intelligence (LNAI), vol. 4585, Springer, Berlin, pp. 230-240. https://doi.org/10.1007/978-3-540-73451-2_25

Linguistic summarization of time series under different granulation of describing features. / Kacprzyk, J.; Wilbik, A.; Zadrozny, S.
Rough Sets and Intelligent Systems Paradigms: International Conference, RSEISP 2007, Warsaw, Poland, June 28-30, 2007. Proceedings. ed. / M. Kryszkiewicz; J.F. Peters; H. Rybinski; A. Skowron. Berlin: Springer, 2007. p. 230-240 (Lecture Notes in Computer Science (LNCS); Vol. 4585), (Lecture Notes in Artificial Intelligence (LNAI); Vol. 4585).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Linguistic summarization of time series under different granulation of describing features

AU - Kacprzyk, J.

AU - Wilbik, A.

AU - Zadrozny, S.

PY - 2007

Y1 - 2007

N2 - We consider an extension to a new approach to the linguistic summarization of time series data proposed in our previous papers. We summarize trends identified here with straight segments of a piecewise linear approximation of time series. Then we employ, as a set of features, the duration, dynamics of change and variability, and assume different, human consistent granulations of their values. The problem boils down to a linguistic quantifier driven aggregation of partial trends that is done via the classic Zadeh’s calculus of linguistically quantified propositions but with different t-norms. We show an application to linguistic summarization of time series data on daily quotations of an investment fund over an eight year period.

AB - We consider an extension to a new approach to the linguistic summarization of time series data proposed in our previous papers. We summarize trends identified here with straight segments of a piecewise linear approximation of time series. Then we employ, as a set of features, the duration, dynamics of change and variability, and assume different, human consistent granulations of their values. The problem boils down to a linguistic quantifier driven aggregation of partial trends that is done via the classic Zadeh’s calculus of linguistically quantified propositions but with different t-norms. We show an application to linguistic summarization of time series data on daily quotations of an investment fund over an eight year period.

U2 - 10.1007/978-3-540-73451-2_25

DO - 10.1007/978-3-540-73451-2_25

M3 - Conference contribution

SN - 978-3-540-73450-5

T3 - Lecture Notes in Computer Science (LNCS)

SP - 230

EP - 240

BT - Rough Sets and Intelligent Systems Paradigms

A2 - Kryszkiewicz, M.

A2 - Peters, J.F.

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PB - Springer

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ER -

Kacprzyk J, Wilbik A, Zadrozny S. Linguistic summarization of time series under different granulation of describing features. In Kryszkiewicz M, Peters JF, Rybinski H, Skowron A, editors, Rough Sets and Intelligent Systems Paradigms: International Conference, RSEISP 2007, Warsaw, Poland, June 28-30, 2007. Proceedings. Berlin: Springer. 2007. p. 230-240. (Lecture Notes in Computer Science (LNCS)). (Lecture Notes in Artificial Intelligence (LNAI)). doi: 10.1007/978-3-540-73451-2_25

Linguistic summarization of time series under different granulation of describing features

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