Using neural networks for data mining
Future Generation Computer Systems - Special double issue on data mining
A genetic algorithm methodology for data mining and intelligent knowledge acquisition
Computers and Industrial Engineering
High-performance data mining with skeleton-based structured parallel programming
Parallel Computing - Parallel data-intensive algorithms and applications
Data mining of association structures to model consumer behaviour
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Using Rough Sets to Build-up Web-Based One to One Customer Services
COMPSAC '00 24th International Computer Software and Applications Conference
Fuzzy data mining for interesting generalized association rules
Fuzzy Sets and Systems - Theme: Learning and modeling
Expert Systems with Applications: An International Journal
Data mining a diabetic data warehouse
Artificial Intelligence in Medicine
Expert Systems with Applications: An International Journal
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In the e-commerce era, the organization knowledge within a centralized knowledge management server can be easily accessed over the Internet by the client PCs at distinct locations. Currently, the personal digital assistant (PDA) has been widely used as the carrier for personal memos and daily records for its high mobility. Taking advantage of the personal information, the user requirements for knowledge can be determined. This research presents an intelligent KM scheme by integrating the PDA information (including notes, schedules and address book) mining model and mobile knowledge management mechanism. Based on the user profile mining technique, the PDA-ready knowledge that fits user requirements can be imported from the knowledge server to the client PDA. Demonstration cases are also provided to illustrate the applications of the proposed model in the content services and healthcare industry. By application of the mobile KM technique, the organization knowledge can be seamlessly provided to the PDA user via the data synchronization process. The attempt of this paper is to present an applicable and intelligent mobile knowledge carrier for realization of the mobile office.