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KDD
2009
ACM
239views Data Mining» more  KDD 2009»
16 years 7 months ago
Tell me something I don't know: randomization strategies for iterative data mining
There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however...
Heikki Mannila, Kai Puolamäki, Markus Ojala, ...
EDBT
2009
ACM
218views Database» more  EDBT 2009»
16 years 1 months ago
Data integration flows for business intelligence
Business Intelligence (BI) refers to technologies, tools, and practices for collecting, integrating, analyzing, and presenting large volumes of information to enable better decisi...
Umeshwar Dayal, Malú Castellanos, Alkis Sim...
VISUALIZATION
2005
IEEE
16 years 8 days ago
Distributed Data Management for Large Volume Visualization
We propose a distributed data management scheme for large data visualization that emphasizes efficient data sharing and access. To minimize data access time and support users wit...
Jinzhu Gao, Jian Huang, C. Ryan Johnson, Scott Atc...
HICSS
2009
IEEE
143views Biometrics» more  HICSS 2009»
16 years 1 months ago
Instance Data Evaluation for Semantic Web-Based Knowledge Management Systems
As semantic web technologies are increasingly used to empower knowledge management systems (KMSs), there is a growing need for mechanisms and automated tools for checking content ...
Jiao Tao, Li Ding, Deborah L. McGuinness
RTCSA
2006
IEEE
16 years 21 days ago
Data Freshness and Overload Handling in Embedded Systems
In this paper we consider data freshness and overload handling in embedded systems. The requirements on data management and overload handling are derived from an engine control so...
Thomas Gustafsson, Jörgen Hansson