Data mining: rule mining algorithms
Introduction /1
Introduction /2
ARM /1 (association rules mining)
ARM /2
ARM /3
ARM /4
ARM /5
ARM /6
ARM /7
Quantitative rules mining
Sequential mining /1
Sequential mining /2
Sequential mining /3
Posets /1
Posets /2
Posets /3
Lattices /1
Lattices /2
Lattices /3
Algorithmic families /1
Algorithmic families /2
Apriori /1
Apriori /2
Apriori /3
Apriori /4
Apriori /5
Apriori /6
Partition /1
Partition /2
FP-growth /1
FP-growth /2
FP-growth /3
FP-growth /4
FP-growth /5
Graphs /1
Graphs /2
Graphs /3
Graphs /4
Graphs /5
Max clique /1
Max clique /2
Max clique /3
Max clique /4
Closure operators/systems
Formal Concept Analysis /1
Formal Concept Analysis /2
Formal Concept Analysis /3
Formal Concept Analysis /4
Formal Concept Analysis /5
Formal Concept Analysis /6
Formal Concept Analysis /7
A-Close /1
A-Close /2
A-Close /3
A-Close /4
A-Close /5
A-Close /6
CHARM
Parallel algorithms
Summary
Bibliography
Author: Roberto Innocente
E-mail: rinnocente@eurohpc.org
Compressed postscript: dm.ps.gz
Pdf : dm.pdf