A new insight into the linguistic summarization of time series via a degree of support: elimination of infrequent patterns

J. Kacprzyk; A. Wilbik

doi:10.1007/978-3-540-85027-4_47

A new insight into the linguistic summarization of time series via a degree of support: elimination of infrequent patterns

J. Kacprzyk
, A. Wilbik

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

9 Citaten (Scopus)

Samenvatting

We extend our previous works on using a fuzzy logic based calculus of linguistically quantified propositions for linguistic summarization of time series (cf. Kacprzyk, Wilbik and Zadrożny [4, 5, 6, 7, 8, 9, 10, 11, 12, 13]. That approach, using the classic degree of truth (validity) to be maximized, is here extended by adding a degree of support. On the one hand, this can reflect in natural language the essence of traditional statistical approaches, and on the other hand, can help discard linguistic summaries with a high degree of truth but a low degree of support so that they concern infrequently occurring patterns and may be uninteresting. We show an application to the absolute performance analysis of an investment (mutual) fund.

Originele taal-2	Engels
Titel	Soft methods for handling variability and imprecision
Redacteuren	D. Dubois, M.A. Lubiano, H. Prade, M.A. Gil, P. Grzegorzewski, O. Hryniewicz
Plaats van productie	Berlin
Uitgeverij	Springer
Hoofdstuk	47
Pagina's	393-400
Aantal pagina's	8
ISBN van elektronische versie	978-3-540-85027-4
ISBN van geprinte versie	978-3-540-85026-7
DOI's	https://doi.org/10.1007/978-3-540-85027-4_47
Status	Gepubliceerd - 2008
Extern gepubliceerd	Ja

Publicatie series

Naam	Advances in Soft Computing (AINSC)
Volume	48
ISSN van geprinte versie	1867-5662

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10.1007/978-3-540-85027-4_47

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Kacprzyk, J., & Wilbik, A. (2008). A new insight into the linguistic summarization of time series via a degree of support: elimination of infrequent patterns. In D. Dubois, M. A. Lubiano, H. Prade, M. A. Gil, P. Grzegorzewski, & O. Hryniewicz (editors), Soft methods for handling variability and imprecision (blz. 393-400). (Advances in Soft Computing (AINSC); Vol. 48). Springer. https://doi.org/10.1007/978-3-540-85027-4_47

Kacprzyk, J. ; Wilbik, A. / A new insight into the linguistic summarization of time series via a degree of support : elimination of infrequent patterns. Soft methods for handling variability and imprecision. redacteur / D. Dubois ; M.A. Lubiano ; H. Prade ; M.A. Gil ; P. Grzegorzewski ; O. Hryniewicz. Berlin : Springer, 2008. blz. 393-400 (Advances in Soft Computing (AINSC)).

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title = "A new insight into the linguistic summarization of time series via a degree of support: elimination of infrequent patterns",

abstract = "We extend our previous works on using a fuzzy logic based calculus of linguistically quantified propositions for linguistic summarization of time series (cf. Kacprzyk, Wilbik and Zadro{\.z}ny [4, 5, 6, 7, 8, 9, 10, 11, 12, 13]. That approach, using the classic degree of truth (validity) to be maximized, is here extended by adding a degree of support. On the one hand, this can reflect in natural language the essence of traditional statistical approaches, and on the other hand, can help discard linguistic summaries with a high degree of truth but a low degree of support so that they concern infrequently occurring patterns and may be uninteresting. We show an application to the absolute performance analysis of an investment (mutual) fund.",

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Kacprzyk, J & Wilbik, A 2008, A new insight into the linguistic summarization of time series via a degree of support: elimination of infrequent patterns. in D Dubois, MA Lubiano, H Prade, MA Gil, P Grzegorzewski & O Hryniewicz (reds.), Soft methods for handling variability and imprecision. Advances in Soft Computing (AINSC), vol. 48, Springer, Berlin, blz. 393-400. https://doi.org/10.1007/978-3-540-85027-4_47

A new insight into the linguistic summarization of time series via a degree of support: elimination of infrequent patterns. / Kacprzyk, J.; Wilbik, A.
Soft methods for handling variability and imprecision. reds. / D. Dubois; M.A. Lubiano; H. Prade; M.A. Gil; P. Grzegorzewski; O. Hryniewicz. Berlin: Springer, 2008. blz. 393-400 (Advances in Soft Computing (AINSC); Vol. 48).

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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N2 - We extend our previous works on using a fuzzy logic based calculus of linguistically quantified propositions for linguistic summarization of time series (cf. Kacprzyk, Wilbik and Zadrożny [4, 5, 6, 7, 8, 9, 10, 11, 12, 13]. That approach, using the classic degree of truth (validity) to be maximized, is here extended by adding a degree of support. On the one hand, this can reflect in natural language the essence of traditional statistical approaches, and on the other hand, can help discard linguistic summaries with a high degree of truth but a low degree of support so that they concern infrequently occurring patterns and may be uninteresting. We show an application to the absolute performance analysis of an investment (mutual) fund.

AB - We extend our previous works on using a fuzzy logic based calculus of linguistically quantified propositions for linguistic summarization of time series (cf. Kacprzyk, Wilbik and Zadrożny [4, 5, 6, 7, 8, 9, 10, 11, 12, 13]. That approach, using the classic degree of truth (validity) to be maximized, is here extended by adding a degree of support. On the one hand, this can reflect in natural language the essence of traditional statistical approaches, and on the other hand, can help discard linguistic summaries with a high degree of truth but a low degree of support so that they concern infrequently occurring patterns and may be uninteresting. We show an application to the absolute performance analysis of an investment (mutual) fund.

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Kacprzyk J, Wilbik A. A new insight into the linguistic summarization of time series via a degree of support: elimination of infrequent patterns. In Dubois D, Lubiano MA, Prade H, Gil MA, Grzegorzewski P, Hryniewicz O, redacteurs, Soft methods for handling variability and imprecision. Berlin: Springer. 2008. blz. 393-400. (Advances in Soft Computing (AINSC)). doi: 10.1007/978-3-540-85027-4_47

A new insight into the linguistic summarization of time series via a degree of support: elimination of infrequent patterns

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