Specifications

Authors: Hu, Shaolin1 ; Li, Ye2 ; Zhang, Wei1/;李晔;
Author affiliation:
1 State Key Laboratory of Astronautic Dynamics, Xi'an City, 710043, China
2 School of Automation, Xi'an University of Technology, Xi'an, 710048, China
Corresponding author: Hu, S. ([e-mail])
Source title: Applied Mechanics and Materials
Abbreviated source title: Appl. Mech. Mater.
Volume: 263-266
Issue: PART 1
Monograph title: Information Technology Applications in Industry
Issue date: 2013
Publication year: 2013
Pages: 1844-1848
Language: English
ISSN: 16609336
E-ISSN: 16627482
ISBN-13: 9783037855744
Document type: Conference article (CA)
Conference name: 2012 International Conference on Information Technology and
Management Innovation, ICITMI 2012
Conference date: November 10, 2012 - November 11, 2012
Conference location: Guangzhou, China
Conference code: 95052
Sponsor: Information Science School of Guangdong; University of Business Studies
Publisher: Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670,
Germany
Abstract: Oriented at dynamic data from complicated process with noise disturbance, it is
very difficult to discover knowledge of correlativity and orderliness. Following some analyzing
results about the shortcoming of relative coefficients in mining non-stationary time series, a
series of new algorithms are built in this paper to mine correlativity in two-dimensional time
series. These new algorithms are based on a expansible framework of model set. Based on these
new mining algorithms, a making decision table is listed not only to mine correlativity in
two-dimensional time series, but also to discover deepening knowledge to transform the
qualitative knowledge "nonlinear relativity" as well as "non-relativity" into deeper quantitative
knowledge about analytical model. These new approaches given in this paper is exoteric in
framework and can be enriched with additional new models. In this way, some professional data
mining and knowledge discovery cab be fulfilled to aim at some specific professional fields. ©
(2013) Trans Tech Publications, Switzerland.
Number of references: 8
Main heading: Data mining
Controlled terms: Algorithms - Decision tables - Information technology -
Mathematical transformations - Relativity - Time series - Two dimensional
Uncontrolled terms: Correlativity - Data mining and knowledge discovery -
Dynamic data - Making decision - Mining algorithms - Model set - Noise