DEEC
2006
IEEE
14 years 3 months ago
2006
IEEE
Abstract. Engineering workflow applications are becoming more and more complex, involving numerous interacting business objects within considerable processes. Analysing the interac...
DAWAK
2006
Springer
14 years 3 months ago
2006
Springer
More and more integration systems use ontologies to solve the problem of semantic heterogeneities between autonomous databases. To automate the integration process, a number of the...
DAWAK
2006
Springer
14 years 3 months ago
2006
Springer
Abstract. Biobanks are gaining in importance by storing large collections of patient's clinical data (e.g. disease history, laboratory parameters, diagnosis, life style) toget...
DAWAK
2006
Springer
14 years 3 months ago
2006
Springer
Abstract. Individual privacy will be at risk if a published data set is not properly de-identified. k-anonymity is a major technique to de-identify a data set. A more general view ...
41
Voted
DAWAK
2006
Springer
14 years 3 months ago
2006
Springer
DAWAK
2006
Springer
14 years 3 months ago
2006
Springer
Though in most data warehousing applications no relevance is given to the time when events are recorded, some domains call for a different behavior. In particular, whenever late re...
DAWAK
2006
Springer
14 years 3 months ago
2006
Springer
In the paper, a new evolutionary algorithm (EA) for mixed tree learning is proposed. In non-terminal nodes of a mixed decision tree different types of tests can be placed, ranging ...
DAWAK
2006
Springer
14 years 3 months ago
2006
Springer
Recently, the data stream, which is an unbounded sequence of data elements generated at a rapid rate, provides a dynamic environment for collecting data sources. It is likely that ...
DAWAK
2006
Springer
14 years 3 months ago
2006
Springer
Rapidly changing environments such as robots, sensor networks, or medical services are emerging. To deal with them, DBMS should persist sensor data streams instantaneously. To achi...
DAWAK
2006
Springer
14 years 3 months ago
2006
Springer
Abstract. Association rule mining is one of the most popular data mining techniques. Significant work has been done to extend the basic association rule framework to allow for mini...