Making items suggestions in non online environments

Authors:
Ioannis N. Kouris;Christos H. Makris;Athanasios K. Tsakalidis
Affiliations:
Department of Computer Engineering and Informatics, School of Engineering, University of Patras, Patras, Greece and Computer Technology Institute, Patras, Greece;Department of Computer Engineering and Informatics, School of Engineering, University of Patras, Patras, Greece and Computer Technology Institute, Patras, Greece;Department of Computer Engineering and Informatics, School of Engineering, University of Patras, Patras, Greece and Computer Technology Institute, Patras, Greece
Venue:
AIKED'06 Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Year:
2006

Citing 12
Cited 0

Mining association rules between sets of items in large databases

SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Data mining

Data mining
Dynamic itemset counting and implication rules for market basket data

SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
From data mining to knowledge discovery: an overview

Advances in knowledge discovery and data mining
Multipass algorithms for mining association rules in text databases

Knowledge and Information Systems
Microwave Mobile Communications

Microwave Mobile Communications
Mining association rules using inverted hashing and pruning

Information Processing Letters
Data Mining: An Overview from a Database Perspective

IEEE Transactions on Knowledge and Data Engineering
Mining Recurrent Items in Multimedia with Progressive Resolution Refinement

ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Wireless and Cellular Networks

Wireless and Cellular Networks
Using information retrieval techniques for supporting data mining

Data & Knowledge Engineering
Fundamentals of Cellular Network Planning and Optimisation: 2G/2.5G/3G... Evolution to 4G

Fundamentals of Cellular Network Planning and Optimisation: 2G/2.5G/3G... Evolution to 4G

Quantified Score

Hi-index	0.00

Visualization

Abstract

Evolutionary optimization algorithms contain, due to their heuristic inspiration, many heuristic parameters, which need to be empirically tuned for the algorithm to work most properly. This paper deals with tuning those parameters in situations when ...