Sciweavers

Share
WISE
2010
Springer
8 years 8 months ago
Neighborhood-Restricted Mining and Weighted Application of Association Rules for Recommenders
Abstract. Association rule mining algorithms such as Apriori were originally developed to automatically detect patterns in sales transactions and were later on also successfully ap...
Fatih Gedikli, Dietmar Jannach
DATAMINE
2006
117views more  DATAMINE 2006»
8 years 10 months ago
A Rule-Based Approach for Process Discovery: Dealing with Noise and Imbalance in Process Logs
Effective information systems require the existence of explicit process models. A completely specified process design needs to be developed in order to enact a given business proce...
Laura Maruster, A. J. M. M. Weijters, Wil M. P. va...
AI
2008
Springer
8 years 10 months ago
An experimental evaluation of simplicity in rule learning
While recent research on rule learning has focussed largely on finding highly accurate hypotheses, we evaluate the degree to which these hypotheses are also simple, that is small....
Ulrich Rückert, Luc De Raedt
ISASSCI
2001
8 years 11 months ago
Distributing the Derivation and Maintenance of Subset Descriptor Rules
This draft paper describes a solution to the rule maintenance problem for data descriptor rules derived from data that may subsequently change. The method utilises any available c...
Jerome Robinson, Barry G. T. Lowden, Mohammed Al H...
SDM
2007
SIAM
130views Data Mining» more  SDM 2007»
8 years 11 months ago
Maximizing the Area under the ROC Curve with Decision Lists and Rule Sets
Decision lists (or ordered rule sets) have two attractive properties compared to unordered rule sets: they require a simpler classification procedure and they allow for a more co...
Henrik Boström
DAGSTUHL
2007
8 years 11 months ago
Learning Probabilistic Relational Dynamics for Multiple Tasks
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer...
PKDD
1999
Springer
101views Data Mining» more  PKDD 1999»
9 years 2 months ago
Rule Induction in Cascade Model Based on Sum of Squares Decomposition
A cascade model is a rule induction methodology using levelwise expansion of an itemset lattice, where the explanatory power of a rule set and its constituent rules are quantitativ...
Takashi Okada
AUSAI
1999
Springer
9 years 2 months ago
Generating Rule Sets from Model Trees
Model trees—decision trees with linear models at the leaf nodes—have recently emerged as an accurate method for numeric prediction that produces understandable models. However,...
Geoffrey Holmes, Mark Hall, Eibe Frank
SCIA
2005
Springer
110views Image Analysis» more  SCIA 2005»
9 years 3 months ago
Training Cellular Automata for Image Processing
Experiments were carried out to investigate the possibility of training cellular automata to to perform processing. Currently, only binary images are considered, but the space of r...
Paul L. Rosin
ECML
2007
Springer
9 years 4 months ago
Data Mining of Multi-categorized Data
At the International Research and Educational Institute for Integrated Medical Sciences (IREIIMS) project, we are collecting complete medical data sets to determine relationships b...
Akinori Abe, Norihiro Hagita, Michiko Furutani, Yo...
books