DMIN
2006
13 years 6 months ago
2006
Abstract: Data preparation is a significant preprocessing task to prepare data for mining. The data mining process cannot succeed without a serious effort to prepare data. Very oft...
FLAIRS
2010
13 years 7 months ago
2010
We propose a generic framework that uses utility in decision making to drive the data mining process. We use concepts from meta-learning and build on earlier work by Elovici and B...
MLDM
2009
Springer
13 years 9 months ago
2009
Springer
The induction of knowledge from a data set relies in the execution of multiple data mining actions: to apply filters to clean and select the data, to train different algorithms (...
KDD
2009
ACM
13 years 9 months ago
2009
ACM
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
EUROCAST
2005
Springer
13 years 10 months ago
2005
Springer
The incorporation of temporal semantic into the traditional data mining techniques has caused the creation of a new area called Temporal Data Mining. This incorporation is especial...
AISADM
2005
Springer
13 years 10 months ago
2005
Springer
Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
— Outliers refer to “minority” data that are different from most other data. They usually disturb data mining process. But, sometimes they provide valuable information. Thus,...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
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...