396 search results - page 21 / 80 » A survey of Knowledge Discovery and Data Mining process mode... |
DAWAK
1999
Springer
15 years 1 months ago
1999
Springer
Efficient query processing is one of the basic needs for data mining algorithms. Clustering algorithms, association rule mining algorithms and OLAP tools all rely on efficient quer...
115
Voted
GFKL
2005
Springer
15 years 3 months ago
2005
Springer
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 ...
DAGSTUHL
2004
14 years 11 months ago
2004
Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
FLAIRS
2010
14 years 12 months ago
2010
Nowadays, graph-based knowledge discovery algorithms do not consider numeric attributes (they are discarded in the preprocessing step, or they are treated as alphanumeric values w...
ASC
2008
14 years 9 months ago
2008
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...