Sciweavers

DEEC
2006
IEEE
14 years 11 days ago
A Bottom-Up Workflow Mining Approach for Workflow Applications Analysis
Abstract. Engineering workflow applications are becoming more and more complex, involving numerous interacting business objects within considerable processes. Analysing the interac...
Walid Gaaloul, Karim Baïna, Claude Godart
DAWAK
2006
Springer
14 years 11 days ago
A Versioning Management Model for Ontology-Based Data Warehouses
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...
Dung Nguyen Xuan, Ladjel Bellatreche, Guy Pierra
DAWAK
2006
Springer
14 years 11 days ago
Priority-Based k-Anonymity Accomplished by Weighted Generalisation Structures
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...
Konrad Stark, Johann Eder, Kurt Zatloukal
DAWAK
2006
Springer
14 years 11 days ago
Achieving k-Anonymity by Clustering in Attribute Hierarchical Structures
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 ...
Jiuyong Li, Raymond Chi-Wing Wong, Ada Wai-Chee Fu...
DAWAK
2006
Springer
14 years 11 days ago
Multidimensional Design by Examples
Oscar Romero, Alberto Abelló
DAWAK
2006
Springer
14 years 11 days ago
What Time Is It in the Data Warehouse?
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...
Stefano Rizzi, Matteo Golfarelli
DAWAK
2006
Springer
14 years 11 days ago
Mixed Decision Trees: An Evolutionary Approach
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 ...
Marek Kretowski, Marek Grzes
DAWAK
2006
Springer
14 years 11 days ago
An Approximate Approach for Mining Recently Frequent Itemsets from Data Streams
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 ...
Jia-Ling Koh, Shu-Ning Shin
DAWAK
2006
Springer
14 years 11 days ago
Providing Persistence for Sensor Data Streams by Remote WAL
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...
Hideyuki Kawashima, Michita Imai, Yuichiro Anzai
DAWAK
2006
Springer
14 years 11 days ago
Efficient Mining of Dissociation Rules
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...
Mikolaj Morzy