Data analysis is an inherently iterative process. That is, what we know about the data greatly
determines our expectations, and hence, what result we would find the most interesting. With …

Mining patterns is a core task in data analysis and, beyond issues of efficient enumeration,
the selection of patterns constitutes a major challenge. The Minimum Description Length …

Knowledge discovery from data is an inherently iterative process. That is, what we know
about the data greatly determines our expectations, and therefore, what results we would …

Network traffic monitoring is a very difficult task, given the amount of network traffic
generated even in small networks. One approach to facilitate this task is network traffic …

For a book, its title and abstract provide a good first impression of what to expect from it. For
a database, obtaining a good first impression is typically not so straightforward. While low …

Deciding whether the results of two different mining algorithms provide significantly different
information is an important, yet understudied, open problem in exploratory data mining …

Deciding whether the results of two different mining algorithms provide significantly different
information is an important open problem in exploratory data mining. Whether the goal is to …

Optimized on parts of data, applied on part of the data (Bringmann and Zimmermann, 2005)
Optimized on all data, applied on all data (Thoma et al, 2009) Optimized on parts of data …

Large real-world graph (aka network, relational) data are omnipresent, in online media,
businesses, science, and the government. Analysis of these massive graphs is crucial, in …

Estas notas tienen por objeto presentar los elementos as importantes utilizados en el
desarrollo de aglomeraciones en clústeres. Se hace una presentación de los principios y …