TY - CONF
T1 - Mining time series data via linguistic summaries of trends by using a modified Sugeno integral based aggregation
AU - Kacprzyk, Janusz
AU - Wilbik, Anna
AU - Zadrozny, Slawomir
N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2007
Y1 - 2007
N2 - Linguistic summaries as descriptions of trends in time series data are proposed. We further extend our (cf. Kacprzyk, Wilbik and Zadrozny [1], [2], [3], [4], [5]) previous works in which we put forward a new approach to the linguistic summarization of time series. In this paper we basically propose a modification of our previous work on the use of the Sugeno integral developed in [5) by employing a modified fuzzy measure and its related modified Sugeno integral. This gives better results in particular in the case of some more sophisticated and extended types of summaries.
AB - Linguistic summaries as descriptions of trends in time series data are proposed. We further extend our (cf. Kacprzyk, Wilbik and Zadrozny [1], [2], [3], [4], [5]) previous works in which we put forward a new approach to the linguistic summarization of time series. In this paper we basically propose a modification of our previous work on the use of the Sugeno integral developed in [5) by employing a modified fuzzy measure and its related modified Sugeno integral. This gives better results in particular in the case of some more sophisticated and extended types of summaries.
U2 - 10.1109/CIDM.2007.368950
DO - 10.1109/CIDM.2007.368950
M3 - Paper
SP - 742
EP - 749
ER -