Automatically Generated Linguistic Summaries of Energy Consumption Data

Author

Van der Heide, Albert ; Trivio, G.

Author_Institution

Cognitive Comput.: Comput. with Perceptions, Eur. Centre for Soft Comput., Mieres, Spain

fYear

2009

fDate

Nov. 30 2009-Dec. 2 2009

Firstpage

553

Lastpage

559

Abstract

In this paper a method is described to automatically generate linguistic summaries of real world time series data provided by a utility company. The methodology involves the following main steps: partitioning of time series into fuzzy intervals, calculation of statistical indicators for the partitions, generation of summarising sentences and determination of the truth-fullness of these sentences, and finally selection of relevant sentences from the generated set of sentences.

Keywords

computational linguistics; fuzzy logic; natural language processing; time series; automatically generated linguistic summaries; energy consumption data; fuzzy intervals; real world time series data; statistical indicators; summarising sentences; utility company; Data mining; Energy consumption; Fuzzy logic; Fuzzy sets; Humans; Intelligent systems; Natural languages; Relational databases; Statistical analysis; Warehousing; fuzzy logic; quality in agreement; relevance;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications, 2009. ISDA '09. Ninth International Conference on

Conference_Location

Pisa

Print_ISBN

978-1-4244-4735-0

Electronic_ISBN

978-0-7695-3872-3

Type

conf

DOI

10.1109/ISDA.2009.8

Filename

5364975