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» Relational Methodology for Data Mining and Knowledge Discove...
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GFKL
2005
Springer
133views Data Mining» more  GFKL 2005»
15 years 3 months ago
Finding Persisting States for Knowledge Discovery in Time Series
Abstract. Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the ...
Fabian Mörchen, Alfred Ultsch
SIGMOD
1998
ACM
271views Database» more  SIGMOD 1998»
14 years 9 months ago
Towards On-Line Analytical Mining in Large Databases
Great e orts have been paid in the Intelligent Database Systems Research Lab for the research and development of e cient data mining methods and construction of on-line analytical...
Jiawei Han
ICMCS
2009
IEEE
147views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Knowledge discovery over community-sharing media: From signal to intelligence
The explosive growth of photos/videos and the advent of mediasharing services have drastically increased the volume of usercontributed multimedia resources, which bring profound s...
Winston H. Hsu, Tao Mei, Rong Yan
SSDBM
1996
IEEE
168views Database» more  SSDBM 1996»
15 years 2 months ago
Data Mining: Machine Learning, Statistics, and Databases
Knowledge discovery in databases and data mining aim at semiautomatic tools for the analysis of large data sets. We give an overview of the area and present someof the research is...
Heikki Mannila
IV
2007
IEEE
184views Visualization» more  IV 2007»
15 years 4 months ago
Visual Data Mining of Web Navigational Data
Discovering web navigational trends and understanding data mining results is undeniably advantageous to web designers and web-based application builders. It is also desirable to i...
Jiyang Chen, Tong Zheng, William Thorne, Osmar R. ...