This paper proposes the compression of data in Relational Database Management Systems (RDBMS) using existing text compression algorithms. Although the technique proposed is general...
Abstract. In many data mining projects the data to be analysed contains personal information, like names and addresses. Cleaning and preprocessing of such data likely involves dedu...
We examine the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. Our methodology is comprised of two steps: a burst dete...
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Understanding the functional significance of alternative splicing and other mechanisms that generate RNA transcript diversity is an important challenge facing modern-day molecular...
Ann E. Loraine, Gregg A. Helt, Melissa S. Cline, M...