Metadata language
Książka = Book ; KS/4/2002/R03P04
Creator: Publisher:Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences
Place of publishing: Date issued/created: Description:[5], 168-174 pages ; 21 cm ; Bibliography p. 174
Type of object: 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: Resource type: Detailed Resource Type: Source: Language: Language of abstract: 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: Access: