Subtitle:

Książka = Book ; KS/4/2002/R03P04

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Description:

[5], 168-174 pages ; 21 cm ; Bibliography p. 174

Type of object:

Book/Chapter

Abstract:

Finding similarity of time-series is an important issue in temporal data mining. It may be useful in many areas including market and economy analysis, customer behavior, prediction of natural disasters, diagnosis and monitoring of processes etc. Finding objects with similar behavior can be also used for explanations in expert systems. Works focus on defining similarity measures for time-series and sequences and building fast and efficient algorithms for analyzing time-series and sequences. This article presents a method for finding similar time-series based on symbolic description.

Relation:

Książka = Book

Detailed Resource Type:

Book

Resource Identifier:

oai:rcin.org.pl:205772

Source:

KS-2002-04-R03P04

Language:

pol

Language of abstract:

pol

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Access:

Open