Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
Andrew Fast, Lisa Friedland, Marc Maier, Brian Tay...
Mining subgraphs is an area of research where we have a given set of graphs, and we search for (connected) subgraphs contained in these graphs. In this paper we focus on the analy...
Edgar H. de Graaf, Walter A. Kosters, Joost N. Kok...
This paper introduces support envelopes--a new tool for analyzing association patterns--and illustrates some of their properties, applications, and possible extensions. Specifical...
This paper investigates a brute-force technique for mining classification rules from large data sets. We employ an association rule miner enhanced with new pruning strategies to c...
Abstract. Data mining algorithms are often embedded in more complex systems, serving as the provider of data for internal decision making within these systems. In this paper we add...