50 search results - page 1 / 10 » A Recent-Biased Dimension Reduction Technique for Time Serie... |
PAKDD
2005
ACM
13 years 10 months ago
2005
ACM
AICCSA
2008
IEEE
13 years 7 months ago
2008
IEEE
Time Series are ubiquitous, hence, similarity search is one of the biggest challenges in the area of mining time series data. This is due to the vast data size, number of sequence...
IS
2008
13 years 5 months ago
2008
Performing data mining tasks in streaming data is considered a challenging research direction, due to the continuous data evolution. In this work, we focus on the problem of clust...
SODA
2008
ACM
13 years 6 months ago
2008
ACM
The Fast Johnson-Lindenstrauss Transform (FJLT) was recently discovered by Ailon and Chazelle as a novel technique for performing fast dimension reduction with small distortion fr...
ICCS
2005
Springer
13 years 10 months ago
2005
Springer
Existing methods for time series clustering rely on the actual data values can become impractical since the methods do not easily handle dataset with high dimensionality, missing v...