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Mining Multiple Models
2006
Contributions to Probability and Statistics: Applications and Challenges
Data mining is much more than simply building statistical models from large collections of data. In particular, this paper records a core task of mining as exploring through the space of models that are built in a data mining project. The idea was first introduced through the concept of multiple inductive learning (MIL) (Williams, 1988 (Williams, , 1991 and further developed in practise as mining the data mine (Williams and Huang, 1997). Many data mining advances that have since emerged have
doi:10.1142/9789812772466_0022
fatcat:k57vtscysvbjdmage7l73yl57u