A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
This paper argues that ERP systems take the part of an organization’s administrative paradox. An administrative paradox is two sides of the same coin when coordinating organizat...
In the complex and dynamic environment of electronic marketplaces, organisations need to identify the issues that will impact on their identification and realisation of benefits. ...
A simple new algorithm is suggested for frequent itemset mining, using item probabilities as the basis for generating candidates. The method first finds all the frequent items, an...
In this paper, we first focus our attention on the question of how much space remains for performance improvement over current association rule mining algorithms. Our strategy is...