Existing sequence comparison software applications lack automation, abstraction, performance, and flexibility. Users need a new way of studying and applying sequence comparisons i...
Data mining aims at discovering important and previously unknown patterns from the dataset in the underlying database. Database mining performs mining directly on data stored in r...
Conventional operators for data retrieval are either based on exact matching or on total order relationship among elements. Neither of them is appropriate to manage complex data, s...
Discovery of association rules from large databases of item sets is an important data mining problem. Association rules are usually stored in relational databases for future use i...
A growing mount of available text data are being stored in relational databases, giving rise to an increasing need for the RDBMSs to support effective text retrieval. In this pape...