Discovery of frequent DATALOG patterns
Data Mining and Knowledge Discovery
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Composing mappings among data sources
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Mining significant graph patterns by leap search
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Structural characterizations of schema-mapping languages
Proceedings of the 12th International Conference on Database Theory
Models for association rules based on clustering and correlation
Intelligent Data Analysis
Inverting schema mappings: bridging the gap between theory and practice
Proceedings of the VLDB Endowment
Towards a Formal Definition of a Computing Cloud
SERVICES '10 Proceedings of the 2010 6th World Congress on Services
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Compute cloud interoperability across different domains represents a major challenge for the System administrator community. This work takes a look at the issues for enabling heterogeneous synchronization of virtual disk log attributes by use of an associative mapping technique. We explore this concern as a function of providing secure log auditing for the virtual machine (VM) cloud. Our contribution provides novel theoretical foundations that can be used to establish these synchronized log audit requirements supported by practical case study results.