512 search results - page 5 / 103 » Explorative Data Mining on Stock Data - Experimental Results... |
AUSDM
2007
Springer
14 years 1 months ago
2007
Springer
Time series data poses a significant variation to the traditional segmentation techniques of data mining because the observation is derived from multiple instances of the same und...
ICDM
2008
IEEE
14 years 2 months ago
2008
IEEE
1 The aim of data mining is to find novel and actionable insights. However, most algorithms typically just find a single explanation of the data even though alternatives could e...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
EDM
2010
13 years 9 months ago
2010
Rare association rules are those that only appear infrequently even though they are highly associated with very specific data. In consequence, these rules can be very appropriate f...
AUSDM
2008
Springer
13 years 9 months ago
2008
Springer
Predicting stock market movements is always difficult. Investors try to guess a stock's behavior, but it often backfires. Thumb rules and intuition seems to be the major indi...