Paper Info
Title
Location-Aware data mining for mobile users based on neuro-fuzzy system
Abstract
Data mining tools generally deal with highly structured and precise data. However, classical methods fail to handle imprecise or uncertain information. This paper proposes a neuro-fuzzy data mining approach which provides a means to deal with the uncertainty of data. This presents a location-based service collaboration framework and uses the neuro-fuzzy algorithm for data mining. It also introduces the user-profile frequency count (UFC) function to determine the relevance of the information to mobile users. The result of using neuro-fuzzy system provides comprehensive and highly accurate rules.
Year
DOI
Venue
2006
10.1007/11881599_158
FSKD
Keywords
Field
DocType
neuro-fuzzy data mining approach,data mining,mobile user,classical method,accurate rule,precise data,location-aware data mining,uncertain information,location-based service collaboration framework,neuro-fuzzy algorithm,data mining tool,neuro-fuzzy system,neuro fuzzy
Mobile computing,Data structure,Data mining,Neuro-fuzzy,Data stream mining,Computer science,Mobile agent,Information extraction,Artificial intelligence,Knowledge extraction,Machine learning,Fuzzy rule
Conference
Volume
ISSN
ISBN
4223
0302-9743
3-540-45916-2
Citations 
PageRank 
References 
8
0.54
14
Authors
4
Name
Order
Citations
PageRank
Romeo Mark A. Mateo1377.20
Marley Lee280.88
Su-Chong Joo310513.18
Jaewan Lee46214.66