DocumentCode :
2844181
Title :
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
Link To Document :
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