Lakhal, L. & Stumme, G.: Efficient Mining of Association Rules Based on Formal Concept Analysis. LNAI Heidelberg, 2005
[Volltext]
Association rules are a popular knowledge discovery technique for
rehouse basket analysis. They indicate which items of the
rehouse are frequently bought together. The problem of association
le mining has first been stated in 1993. Five years later, several
search groups discovered that this problem has a strong connection
Formal Concept Analysis (FCA). In this survey, we will first
troduce some basic ideas of this connection along a specific
gorithm, and show how FCA helps in reducing the number
resulting rules without loss of information, before giving a
neral overview over the history and state of the art of applying
A for association rule mining.
@inbook{lakhal2005efficient,
author = {Lakhal, Lotfi and Stumme, Gerd},
title = {Efficient Mining of Association Rules Based on Formal Concept Analysis},
editor = {Ganter, Bernhard and Stumme, Gerd and Wille, Rudolf},
booktitle = {Formal Concept Analysis: Foundations and Applications},
series = {LNAI},
publisher = {Springer},
address = {Heidelberg},
year = {2005},
volume = {3626},
pages = {180-195},
url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2005/lakhal2005efficient.pdf},
keywords = {2005, analysis, association, book, closed, concept, condensed, data, discovery, fca, formal, itegpub, itemsets, kdd, knowledge, l3s, mining, myown, representations, rules},
abstract = {Association rules are a popular knowledge discovery technique for
rehouse basket analysis. They indicate which items of the
rehouse are frequently bought together. The problem of association
le mining has first been stated in 1993. Five years later, several
search groups discovered that this problem has a strong connection
Formal Concept Analysis (FCA). In this survey, we will first
troduce some basic ideas of this connection along a specific
gorithm, and show how FCA helps in reducing the number
resulting rules without loss of information, before giving a
neral overview over the history and state of the art of applying
A for association rule mining.}
}
Lakhal, L. & Stumme, G.: Efficient Mining of Association Rules Based on Formal Concept Analysis. LNAI Heidelberg, 2005
[Volltext]
Association rules are a popular knowledge discovery technique for
rehouse basket analysis. They indicate which items of the
rehouse are frequently bought together. The problem of association
le mining has first been stated in 1993. Five years later, several
search groups discovered that this problem has a strong connection
Formal Concept Analysis (FCA). In this survey, we will first
troduce some basic ideas of this connection along a specific
gorithm, and show how FCA helps in reducing the number
resulting rules without loss of information, before giving a
neral overview over the history and state of the art of applying
A for association rule mining.
@inbook{lakhal2005efficient,
author = {Lakhal, Lotfi and Stumme, Gerd},
title = {Efficient Mining of Association Rules Based on Formal Concept Analysis},
editor = {Ganter, Bernhard and Stumme, Gerd and Wille, Rudolf},
booktitle = {Formal Concept Analysis: Foundations and Applications},
series = {LNAI},
publisher = {Springer},
address = {Heidelberg},
year = {2005},
volume = {3626},
pages = {180-195},
url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2005/lakhal2005efficient.pdf},
keywords = {2005, analysis, association, book, closed, concept, condensed, data, discovery, fca, formal, itegpub, itemsets, kdd, knowledge, l3s, mining, myown, representations, rules},
abstract = {Association rules are a popular knowledge discovery technique for
rehouse basket analysis. They indicate which items of the
rehouse are frequently bought together. The problem of association
le mining has first been stated in 1993. Five years later, several
search groups discovered that this problem has a strong connection
Formal Concept Analysis (FCA). In this survey, we will first
troduce some basic ideas of this connection along a specific
gorithm, and show how FCA helps in reducing the number
resulting rules without loss of information, before giving a
neral overview over the history and state of the art of applying
A for association rule mining.}
}
Pasquier, N.; Taouil, R.; Bastide, Y.; Stumme, G. & Lakhal, L.: Generating a Condensed Representation for Association Rules. In: Journal Intelligent Information Systems (JIIS) 24 (2005), Nr. 1, S. 29-60
[Volltext]
@article{pasquier2005generating,
author = {Pasquier, Nicolas and Taouil, Rafik and Bastide, Yves and Stumme, Gerd and Lakhal, Lotfi},
title = {Generating a Condensed Representation for Association Rules},
journal = {Journal Intelligent Information Systems (JIIS)},
publisher = {Kluwer Academic Publishers},
year = {2005},
volume = {24},
number = {1},
pages = {29-60},
url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2005/pasquier2005generating.pdf},
keywords = {2005, OntologyHandbook, analysis, association, closed, concept, condensed, data, discovery, fca, formal, itegpub, itemset, kdd, knowledge, l3s, mining, myown, representations, rule, rules, sets}
}
Pasquier, N.; Taouil, R.; Bastide, Y.; Stumme, G. & Lakhal, L.: Generating a Condensed Representation for Association Rules. In: Journal Intelligent Information Systems (JIIS) 24 (2005), Nr. 1, S. 29-60
[Volltext]
@article{pasquier2005generating,
author = {Pasquier, Nicolas and Taouil, Rafik and Bastide, Yves and Stumme, Gerd and Lakhal, Lotfi},
title = {Generating a Condensed Representation for Association Rules},
journal = {Journal Intelligent Information Systems (JIIS)},
publisher = {Kluwer Academic Publishers},
year = {2005},
volume = {24},
number = {1},
pages = {29-60},
url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2005/pasquier2005generating.pdf},
keywords = {2005, OntologyHandbook, analysis, association, closed, concept, condensed, data, discovery, fca, formal, itegpub, itemset, kdd, knowledge, l3s, mining, myown, representations, rule, rules, sets}
}
Bastide, Y.; Taouil, R.; Pasquier, N.; Stumme, G. & Lakhal, L.: Pascal: un alogorithme d'extraction des motifs fréquents. In: Technique et Science Informatiques (TSI) 21 (2002), Nr. 1, S. 65-95
[Volltext]
@article{bastide02unalogorithme,
author = {Bastide, Y. and Taouil, R. and Pasquier, N. and Stumme, G. and Lakhal, L.},
title = {Pascal: un alogorithme d'extraction des motifs fréquents},
journal = {Technique et Science Informatiques (TSI)},
year = {2002},
volume = {21},
number = {1},
pages = {65-95},
url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2001/TSI01.pdf},
keywords = {2002, analysis, association, closed, concept, condensed, fca, formal, iceberg, itemsets, lattices, myown, pascal, representations, rules, titanic}
}
Stumme, G.: Efficient Data Mining Based on Formal Concept Analysis. In: Hameurlain, A.; Cicchetti, R. & Traunmüller, R. (Hrsg.): Database and Expert Systems Applications. Proc. DEXA 2002. Heidelberg: Springer, 2002 (LNCS 2453), S. 534-546
[Volltext]
@inproceedings{stumme02efficient,
author = {Stumme, G.},
title = {Efficient Data Mining Based on Formal Concept Analysis},
editor = {Hameurlain, A. and Cicchetti, R. and Traunmüller, R.},
booktitle = {Database and Expert Systems Applications. Proc. DEXA 2002},
series = {LNCS},
publisher = {Springer},
address = {Heidelberg},
year = {2002},
volume = {2453},
pages = {534-546},
url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2002/DEXA02.pdf},
keywords = {2002, association, closed, condensed, data, discovery, fca, itemsets, kdd, knowledge, mining, myown, representations, rules}
}
Stumme, G.; Taouil, R.; Bastide, Y.; Pasquier, N. & Lakhal, L.: Intelligent Structuring and Reducing of Association Rules and with Formal Concept Analysis. In: Baader, F.; Brewker, G. & Eiter, T. (Hrsg.): KI 2001: Advances in Artificial Intelligence. KI 2001. Heidelberg: Springer, 2001 (LNAI 2174), S. 335-350
[Volltext]
@inproceedings{stumme01intelligent,
author = {Stumme, G. and Taouil, R. and Bastide, Y. and Pasquier, N. and Lakhal, L.},
title = {Intelligent Structuring and Reducing of Association Rules and with Formal Concept Analysis},
editor = {Baader, F. and Brewker, G. and Eiter, T.},
booktitle = {KI 2001: Advances in Artificial Intelligence. KI 2001},
series = {LNAI},
publisher = {Springer},
address = {Heidelberg},
year = {2001},
volume = {2174},
pages = {335-350},
url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2001/KI01.pdf},
keywords = {2001, FCA, OntologyHandbook, analysis, association, bases, closed, concept, condensed, discovery, fca, formal, itemsets, kdd, knowledge, mining, myown, representations, rule, rules}
}
Bastide, Y.; Taouil, R.; Pasquier, N.; Stumme, G. & Lakhal, L.: Levelwise Search of Frequent Patterns. Actes des 16ièmes Journées Bases de Données Avancées. France: Blois, 2000, S. 307-322
[Volltext]
@inproceedings{bastide00levelwise,
author = {Bastide, Y. and Taouil, R. and Pasquier, N. and Stumme, G. and Lakhal, L.},
title = {Levelwise Search of Frequent Patterns},
booktitle = {Actes des 16ièmes Journées Bases de Données Avancées},
publisher = {Blois},
address = {France},
year = {2000},
pages = {307-322},
url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2000/BDA00.pdf},
keywords = {2000, algorithm, algorithms, analysis, association, closed, concept, condensed, data, discovery, fca, formal, frequent, itemsets, kdd, knowledge, mining, myown, representations, rules}
}
Bastide, Y.; Taouil, R.; Pasquier, N.; Stumme, G. & Lakhal, L.: Mining Frequent Patterns with Counting Inference.. In: SIGKDD Explorations, Special Issue on Scalable Algorithms 2 (2000), Nr. 2, S. 71-80
@article{bastide00miningfrequent,
author = {Bastide, Y. and Taouil, R. and Pasquier, N. and Stumme, G. and Lakhal, L.},
title = {Mining Frequent Patterns with Counting Inference.},
journal = {SIGKDD Explorations, Special Issue on Scalable Algorithms},
year = {2000},
volume = {2},
number = {2},
pages = {71-80},
keywords = {2000, FCA, OntologyHandbook, analys, association, closed, concept, condensed, data, discovery, fca, formal, frequent, itemsets, kdd, knowledge, mining, myown, representation, representations, rule, rules}
}
Bastide, Y.; Pasquier, N.; Taouil, R.; Stumme, G. & Lakhal, L.: Mining Minimal Non-Redundant Association Rules Using Frequent Closed Itemsets. In: Lloyd, J.; Dahl, V.; Furbach, U.; Kerber, M.; Laus, K.-K.; Palamidessi, C.; Pereira, L.; Sagiv, Y. & Stuckey, P. (Hrsg.): Computational Logic -- CL 2000 Proc. CL'00. Heidelberg: Springer, 2000 (LNAI 1861)
[Volltext]
@inproceedings{bastide00miningminimal,
author = {Bastide, Y. and Pasquier, N. and Taouil, R. and Stumme, G. and Lakhal, L.},
title = {Mining Minimal Non-Redundant Association Rules Using Frequent Closed Itemsets},
editor = {Lloyd, J. and Dahl, V. and Furbach, U. and Kerber, M. and Laus, K.-K. and Palamidessi, C. and Pereira, L.M. and Sagiv, Y. and Stuckey, P.J.},
booktitle = {Computational Logic --- CL 2000 Proc. CL'00},
series = {LNAI},
publisher = {Springer},
address = {Heidelberg},
year = {2000},
volume = {1861},
url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2000/DOOD00.pdf},
keywords = {2000, analys, association, closed, concept, condensed, data, discovery, fca, formal, frequent, itemsets, kdd, knowledge, mining, myown, representation, representations, rule, rules}
}
Stumme, G.; Taouil, R.; Bastide, Y.; Pasquier, N. & Lakhal, L.: Fast Computation of Concept Lattices Using Data Mining Techniques. In: Bouzeghoub, M.; Klusch, M.; Nutt, W. & Sattler, U. (Hrsg.): Proc. 7th Intl. Workshop on Knowledge Representation Meets Databases. 2000
[Volltext]
@inproceedings{stumme00fast,
author = {Stumme, G. and Taouil, R. and Bastide, Y. and Pasquier, N. and Lakhal, L.},
title = {Fast Computation of Concept Lattices Using Data Mining Techniques},
editor = {Bouzeghoub, M. and Klusch, M. and Nutt, W. and Sattler, U.},
booktitle = {Proc. 7th Intl. Workshop on Knowledge Representation Meets Databases},
year = {2000},
note = {http://ceur-ws.org/Vol-29. Part of testumme02computing},
url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2000/KRDB00.pdf},
keywords = {2000, algorithm, algorithms, analysis, closed, computation, concept, condensed, fca, formal, iceberg, itemsets, lattices, myown, representations}
}
Stumme, G.: Conceptual Knowledge Discovery with Frequent Concept Lattices. , 1999
[Volltext]
@techreport{stumme99conceptualknowledge,
author = {Stumme, G.},
title = {Conceptual Knowledge Discovery with Frequent Concept Lattices},
type = {FB4-Preprint 2043},
year = {1999},
url = {http://www.kde.cs.uni-kassel.de/stumme/papers/1999/P2043.pdf},
keywords = {1999, analysis, association, closed, concept, condensed, data, discovery, fca, formal, frequent, iceberg, itemsets, kdd, knowledge, lattices, mining, myown, representations, rule, rules}
}