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 Guns | 1 | 332 | 23.14 |
Anton Dries | 2 | 126 | 10.83 |
Siegfried Nijssen | 3 | 1103 | 59.13 |
Guido Tack | 4 | 377 | 27.56 |
Luc De Raedt | 5 | 5481 | 505.49 |