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ICTAI
2010
IEEE
13 years 2 months ago
Pocket Data Mining: Towards Collaborative Data Mining in Mobile Computing Environments
Abstract--Pocket Data Mining PDM is our new term describing collaborative mining of streaming data in mobile and distributed computing environments. With sheer amounts of data stre...
Frederic T. Stahl, Mohamed Medhat Gaber, Max Brame...
DAWAK
2007
Springer
13 years 11 months ago
OLAP Technology for Business Process Intelligence: Challenges and Solutions
The emerging area of business process intelligence aims at enhancing the analysis power of business process management systems by employing data warehousing and mining technologies...
Svetlana Mansmann, Thomas Neumuth, Marc H. Scholl
WWW
2001
ACM
14 years 5 months ago
A Logic-based Framework for Mobile Intelligent Information Agents
Information agents are computational software systems that provides transparent access to many different information sources in the Internet, and to be able to retrieve, analyze, ...
Naoki Fukuta, Takayuki Ito, Toramatsu Shintani
HAIS
2009
Springer
13 years 9 months ago
A Generic and Extendible Multi-Agent Data Mining Framework
A generic and extendible Multi-Agent Data Mining (MADM) framework, EMADS (the Extendible Multi-Agent Data mining System) is described. The central feature of the framework is that ...
Kamal Ali Albashiri, Frans Coenen
KER
2011
12 years 7 months ago
Data mining: past, present and future
Data mining has become a well established discipline within the domain of Artificial Intelligence (AI) and Knowledge Engineering (KE). It has its roots in machine learning and st...
Frans Coenen