307 search results - page 58 / 62 » An Iterative Method for Mining Frequent Temporal Patterns |
ICDE
2008
IEEE
14 years 11 months ago
2008
IEEE
Abstract- Data streams of real numbers are generated naturally in many applications. The technology of online subsequence searching in data streams becomes more and more important ...
KDD
2009
ACM
14 years 4 months ago
2009
ACM
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
KDD
2005
ACM
14 years 10 months ago
2005
ACM
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
CIKM
2009
Springer
14 years 4 months ago
2009
Springer
Features in many real world applications such as Cheminformatics, Bioinformatics and Information Retrieval have complex internal structure. For example, frequent patterns mined fr...
KDD
2007
ACM
14 years 10 months ago
2007
ACM
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...