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CORR
2002
Springer
139views Education» more  CORR 2002»
13 years 8 months ago
Symbolic Methodology in Numeric Data Mining: Relational Techniques for Financial Applications
Currently statistical and artificial neural network methods dominate in financial data mining. Alternative relational (symbolic) data mining methods have shown their effectiveness...
Boris Kovalerchuk, Evgenii Vityaev, H. Yusupov
GRC
2010
IEEE
13 years 6 months ago
Genetic-Fuzzy Data Mining Techniques
This paper surveys some genetic-fuzzy data mining techniques for mining both membership functions and fuzzy association rules. The motivation from crisp mining to fuzzy mining wil...
Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng
IGARSS
2010
13 years 6 months ago
Designing an Illegal Mining Detection System based on DinSAR
Satellite Differential Radar Interferometry (DInSAR) has demonstrated its ability for monitoring mine-induced ground subsidence. However, it is still a challenging task to routine...
Zhe Hu, Linlin Ge, Xiaojing Li, Chris Rizos
EUSFLAT
2009
233views Fuzzy Logic» more  EUSFLAT 2009»
13 years 6 months ago
SaM: A Split and Merge Algorithm for Fuzzy Frequent Item Set Mining
This paper presents SaM, a split and merge algorithm for frequent item set mining. Its distinguishing qualities are an exceptionally simple algorithm and data structure, which not ...
Christian Borgelt, Xiaomeng Wang
WWW
2006
ACM
14 years 9 months ago
Template guided association rule mining from XML documents
Compared with traditional association rule mining in the structured world (e.g. Relational Databases), mining from XML data is confronted with more challenges due to the inherent ...
Rahman Ali Mohammadzadeh, Sadegh Soltan, Masoud Ra...