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IJCAI
2001
15 years 8 months ago
Approximate inference for first-order probabilistic languages
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...
Hanna Pasula, Stuart J. Russell
ECIS
2003
15 years 8 months ago
The ERP system as a part of an organization's administrative paradox
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...
Ulf Melin
ECIS
2003
15 years 8 months ago
Issues affecting benefit realisation in electronic marketplaces
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. ...
Rosemary Stockdale, Craig Standing
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FIMI
2003
95views Data Mining» more  FIMI 2003»
15 years 8 months ago
Probabilistic Iterative Expansion of Candidates in Mining Frequent Itemsets
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...
Attila Gyenesei, Jukka Teuhola
FIMI
2003
146views Data Mining» more  FIMI 2003»
15 years 8 months ago
ARMOR: Association Rule Mining based on ORacle
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...
Vikram Pudi, Jayant R. Haritsa