Title
MiningZinc: A declarative framework for constraint-based mining
Abstract
We introduce MiningZinc, a declarative framework for constraint-based data mining. MiningZinc consists of two key components: a language component and an execution mechanism.
Year
DOI
Venue
2017
10.1016/j.artint.2015.09.007
Artificial Intelligence
Keywords
Field
DocType
Constraint-based mining,Itemset mining,Constraint programming,Declarative modeling,Pattern mining
Constraint satisfaction,Programming language,Normalization (statistics),Computer science,Constraint programming,Theoretical computer science,Solver,Constraint logic programming,Data mining algorithm
Journal
Volume
Issue
ISSN
244
1
0004-3702
Citations 
PageRank 
References 
6
0.47
48
Authors
5
Name
Order
Citations
PageRank
Tias Guns133223.14
Anton Dries212610.83
Siegfried Nijssen3110359.13
Guido Tack437727.56
Luc De Raedt55481505.49