The problem of finding frequent patterns from graph-based datasets is an important one that finds applications in drug discovery, protein structure analysis, XML querying, and soc...
Abstract. Event processing rules may be prescribed in many different ways, including by finite state machines, graphical methods, ECA (event-conditionaction) rules or reactive rule...
Data mining and machine learning must confront the problem of pattern maintenance because data updating is a fundamental operation in data management. Most existing data-mining alg...
Abstract. The most popular data mining techniques consist in searching databases for frequently occurring patterns, e.g. association rules, sequential patterns. We argue that in co...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
: Seriation is an exploratory combinatorial data analysis technique to reorder objects into a sequence along a one-dimensional continuum so that it best reveals regularity and patt...