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KDD
2012
ACM
11 years 10 months ago
2012
ACM
Most time series data mining algorithms use similarity search as a core subroutine, and thus the time taken for similarity search is the bottleneck for virtually all time series d...
KDD
2000
ACM
13 years 11 months ago
2000
ACM
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...
CIKM
2004
Springer
14 years 1 months ago
2004
Springer
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
EUSFLAT
2009
13 years 5 months ago
2009
Besides the problem of searching for effective methods for extracting knowledge from large databases (KDD) there are some additional problems with handling ecological data, namely ...
PAKDD
2009
ACM
14 years 2 months ago
2009
ACM
The usual data mining setting uses the full amount of data to derive patterns for different purposes. Taking cues from machine learning techniques, we explore ways to divide the d...