Computer
Induction of fuzzy decision trees
Fuzzy Sets and Systems
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Induction of fuzzy rules and membership functions from training examples
Fuzzy Sets and Systems
A fuzzy inductive learning strategy for modular rules
Fuzzy Sets and Systems
Processing individual fuzzy attributes for fuzzy rule induction
Fuzzy Sets and Systems
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Mobile Computing and Databases-A Survey
IEEE Transactions on Knowledge and Data Engineering
Exploiting Data Mining Techniques for Broadcasting Data in Mobile Computing Environments
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
An Adaptive Location Management Algorithm for Mobile Computing
LCN '97 Proceedings of the 22nd Annual IEEE Conference on Local Computer Networks
Mining Association Rules with Weighted Items
IDEAS '98 Proceedings of the 1998 International Symposium on Database Engineering & Applications
Mobility Pattern Learning and Route Prediction Based Location Management in PCS Network
AINA '06 Proceedings of the 20th International Conference on Advanced Information Networking and Applications - Volume 02
Mining fuzzy sequential patterns from quantitative transactions
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Statistical fuzzy interval neural networks for currency exchange rate time series prediction
Applied Soft Computing
Time sequence data mining using time-frequency analysis and soft computing techniques
Applied Soft Computing
Mobility management in current and future communications networks
IEEE Network: The Magazine of Global Internetworking
Mining the change of customer behavior in fuzzy time-interval sequential patterns
Applied Soft Computing
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Wireless networks and mobile applications have grown very rapidly and have made a significant impact on computer systems. Especially, the usage of mobile phones and PDA is increased very rapidly. Added functions and values with these devices are thus greatly developed. If some regularity can be known from the user mobility behavior, then these functions and values can be further expanded and used intelligently. This paper thus attempts to discover fuzzy personal mobility patterns for helping systems provide personalized service in a wireless network. The arrival time and the duration time of each location area visited by a mobile user are used as important attributes in representing the results. Since both the arrival time and the duration time are numeric, fuzzy concepts are used to process them and to form linguistic terms. A fuzzy mining algorithm has then been proposed, which is based on the AprioriAll algorithm, but different from it in several ways. The difference causes a delicate consideration in the design of the algorithm. An example is also given to demonstrate the algorithm. The linguistic representation of personal mobility patterns will be more natural and understandable for the system managers to provide better personalized service in a wireless network.