MLDM
2009
Springer
14 years 6 months ago
2009
Springer
The paper describes a method for predicting climate time series that consist of significant annual and diurnal seasonal components and a short-term stockastic component. A memory...
MLDM
2009
Springer
14 years 6 months ago
2009
Springer
We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...
MLDM
2009
Springer
14 years 6 months ago
2009
Springer
Existing data mining techniques mostly focus on finding global patterns and lack the ability to systematically discover regional patterns. Most relationships in spatial datasets ar...
MLDM
2009
Springer
14 years 6 months ago
2009
Springer
MLDM
2009
Springer
14 years 6 months ago
2009
Springer
In a world where massive amounts of data are recorded on a large scale we need data mining technologies to gain knowledge from the data in a reasonable time. The Top Down Induction...
MLDM
2009
Springer
14 years 6 months ago
2009
Springer
We consider a new data mining problem of detecting the members of a rare class of data, the needles, that have been hidden in a set of records, the haystack. Besides the haystack, ...