Paper Info
Title
Combining Discrete Algorithmic and Probabilistic Approaches in Data Mining
Abstract
Data mining research has approached the problems of analyzing large data sets in two ways. Simplifying a lot, the approaches can be characterized as follows. The database approach has concentrated on figuring out what types of summaries can be computed fast, and then finding ways of using those summaries. The model-based approach has focused on first finding useful model classes and then fast ways of fitting those models. In this talk I discuss some examples of both and describe some recent developments which try to combine the two approaches.
Year
DOI
Venue
2001
10.1007/3-540-44794-6_42
ECML
Keywords
DocType
ISBN
probabilistic approaches,data mining research,data mining,model-based approach,large data set,combining discrete algorithmic,fast way,useful model class,recent development,database approach
Conference
3-540-42534-9
Citations 
PageRank 
References 
3
0.61
2
Authors
1
Name
Order
Citations
PageRank
Heikki Mannila165951495.69