American Journal of Database Theory and Application is a peer-reviewed international journal that provides a chance for academic and industry professionals to discuss recent progress in the area of database theory and application. It aims to be a forum that facilitates and support research relevant to database theory and application technology and the applications.
Subject areas suitable for publication include, but are not limited to the following fields:
Data Mining and Information Extraction
Data Modeling and Architectures
Data Provenance
Data Quality
Data Security, Privacy and Trust
Data Streaming
Dynamic Data Mining
Heterogeneous Databases
Inference and Disclosure Control for Data Mining
Integration of Data Warehousing
Interactive and Online Mining
Intermittently Connected Data
KDD Process and Human Interaction
Mining Trends, Opportunities or Risks
OLAP and Data Mining
Parallel and Distributed Data Mining
Physical Database Design and Performance Evaluation
Privacy Preserving Data Aggregation and Integration
Privacy Preserving Data Mining