512 search results - page 42 / 103 » Explorative Data Mining on Stock Data - Experimental Results... |
CIKM
2005
Springer
14 years 2 months ago
2005
Springer
Data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interes...
KDD
2006
ACM
14 years 9 months ago
2006
ACM
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
DAWAK
2007
Springer
14 years 3 months ago
2007
Springer
Several business applications such as marketing basket analysis, clickstream analysis, fraud detection and churning migration analysis demand gradient data analysis. By employing g...
ICEIS
2009
IEEE
13 years 6 months ago
2009
IEEE
One of the main difficulties of pattern mining is to deal with items of different nature in the same itemset, which can occur in any domain except basket analysis. Indeed, if we co...
ICDE
2010
IEEE
14 years 1 months ago
2010
IEEE
Modern science is collecting massive amounts of data from sensors, instruments, and through computer simulation. It is widely believed that analysis of this data will hold the key ...