A Spatial Data Mining Method Based on the Concept Lattice of Compact Dependencies
(*) Corresponding author
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)
This article is focusing on solving spatial data and relating problems by applying GIS spatial data structure concept. I also combined formation and analysis of spatial data concept and temporal together and created an original theory - compact reliance. Starting with combining concept of lattice and spatial data, the article transferred spatial data into problem of lattice concept. Then by applying nature of compact reliance, we could find out all association rules that has confidence coefficient of 1. There for we can get spatial data association rules.
Copyright © 2013 Praise Worthy Prize - All rights reserved.
P Valduriez. Join indices.ACM Transactions on Database Systems,Vol.12,no.2,pp. 218-246,1987.
Y SHI, Y F .SUN, ZUO Chun The research and development of spatial data mining. Journal of Computer Research And Development, Vol 26, no.11, pp. 1301-1309, 1999.
R Godin,et al.Incremental Concept Formation Algorithm Based on Galois Lattices, Computational Intelligence, Vol.11, no.2, pp.246-267, 1995.
K. Qu, Y.H.Zhai, J.Y.Liang,Study of decision implications based on formal concept analysis,International Journal of General Systems,Vol.36,no.2,pp.147-156,2007.
C. Claudio, R. Giovanni. Concept Data Analysis(John Wiley & Sons, 2004).
J. F.Albacete, C. Pelaez-Moreno. Towards a Generalization of Formal Concept Analysis for Data Mining Purposes. Formal Concept Analysis: Proceedings of 4th International Conference, ICFCA 2006(Page: 161-176 Year of Publication: 2006 ISBN: 3540322035, 9783540322030 ) .
Li Yang,DaiyunWeng,An Improved Depth-First Frequent Item-Set Data Mining Algorithm, International Review on Computers and Software, Vol. 7 no. 2, pp. 835-838,2012.
G. Bernhard,R. Wille,Formal. Concept Analysis(Springer ,1999).
Y. MA, X. D. ZHANG, C.Y. Chi. Compact Dependencies and Intent Waned Values. Journal of Software, Vol.22, no.5, pp.962-971, 2011.
Yu-Cheng Lin, Toly Chen,Interval Cycle Time Estimation in a Semiconductor Manufacturing System with a Data-Mining Approach, International Review on Computers and Software ,Vol. 4, no. 6, pp. 737-742,2009.
K .Zeitouni, L .Yeh, Aufaure M. Join Indices as a Tool for Spatial Data Mining. Proceedings of 2000 International Workshop on Temporal Spatial and Spatio-Temporal Data Mining (Page:102-114 Year of Publication: 2000 ISBN: 9783540417736).
- There are currently no refbacks.
Please send any question about this web site to firstname.lastname@example.org
Copyright © 2005-2023 Praise Worthy Prize