The complexity of deploying high-performance spatial structures in transactional DBMS environments has motivated researchers to experiment with the idea of reusing the effort inve...
Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...
Separation of concerns has been central to software engineering for decades, yet its many advantages are still not fully realized. A key reason is that traditional modularization ...
Peri L. Tarr, William H. Harrison, Harold Ossher, ...
This paper describes the mixtures-of-trees model, a probabilistic model for discrete multidimensional domains. Mixtures-of-trees generalize the probabilistic trees of Chow and Liu...
Previous work on mining transactional database has focused primarily on mining frequent itemsets, association rules, and sequential patterns. However, interesting relationships be...