Doerfel, S.; Jäschke, R. & Stumme, G.: Publication Analysis of the Formal Concept Analysis Community. In: Domenach, F.; Ignatov, D. & Poelmans, J. (Hrsg.): ICFCA 2012. Berlin/Heidelberg: Springer, 2012 (Lecture Notes in Artificial Intelligence 7278), S. 77-95
[Volltext]
We present an analysis of the publication and citation networks of all previous editions of the three conferences most relevant to the FCA community: ICFCA, ICCS and CLA. Using data mining methods from FCA and graph analysis, we investigate patterns and communities among authors, we identify and visualize influential publications and authors, and we give a statistical summary of the conferences’ history.
@inproceedings{doerfel2012publication,
author = {Doerfel, Stephan and Jäschke, Robert and Stumme, Gerd},
title = {Publication Analysis of the Formal Concept Analysis Community},
editor = {Domenach, F. and Ignatov, D.I. and Poelmans, J.},
booktitle = {ICFCA 2012},
series = {Lecture Notes in Artificial Intelligence},
publisher = {Springer},
address = {Berlin/Heidelberg},
year = {2012},
volume = {7278},
pages = {77--95},
url = {https://www.kde.cs.uni-kassel.de/pub/pdf/doerfel2012publication.pdf},
keywords = {2012, analysis, community, concept, fca, home, info20pub, itegpub, l3s, myown, scientometrics},
abstract = {We present an analysis of the publication and citation networks of all previous editions of the three conferences most relevant to the FCA community: ICFCA, ICCS and CLA. Using data mining methods from FCA and graph analysis, we investigate patterns and communities among authors, we identify and visualize influential publications and authors, and we give a statistical summary of the conferences’ history.
}
}
Jäschke, R.; Hotho, A.; Schmitz, C.; Ganter, B. & Stumme, G.: Discovering Shared Conceptualizations in Folksonomies. In: Journal of Web Semantics 6 (2008), Nr. 1, S. 38-53
[Volltext]
@article{jaeschke08discovering,
author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Ganter, Bernhard and Stumme, Gerd},
title = {Discovering Shared Conceptualizations in Folksonomies},
journal = {Journal of Web Semantics},
year = {2008},
volume = {6},
number = {1},
pages = {38-53},
url = {http://dx.doi.org/10.1016/j.websem.2007.11.004},
keywords = {2008, FCA, OntologyHandbook, analysis, bibsonomy, concept, discovering, fca, folksonomies, formal, itegpub, l3s, myown, shared, triadic}
}
Cimiano, P.; Hotho, A.; Stumme, G. & Tane, J.: Conceptual Knowledge Processing with Formal Concept
Analysis and Ontologies. In: Eklund, P. (Hrsg.): Concept Lattices. Berlin/Heidelberg: Springer, 2004 (Lecture Notes in Computer Science 2961), S. 189-207
[Volltext]
@incollection{cimiano2004conceptual,
author = {Cimiano, Philipp and Hotho, Andreas and Stumme, Gerd and Tane, Julien},
title = {Conceptual Knowledge Processing with Formal Concept
Analysis and Ontologies},
editor = {Eklund, Peter},
booktitle = {Concept Lattices},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
address = {Berlin/Heidelberg},
year = {2004},
volume = {2961},
pages = {189--207},
url = {http://dx.doi.org/10.1007/978-3-540-24651-0_18},
isbn = {978-3-540-21043-6},
keywords = {2004, citedBy:doerfel2012publication, fca, icfca, itegpub, knowledge, l3s, myown, processing}
}
Stumme, G.: Iceberg Query Lattices for Datalog. In: Wolff, K. E.; Pfeiffer, H. D. & Delugach, H. S. (Hrsg.): Conceptual Structures at Work: 12th International Conference on Conceptual Structures (ICCS 2004). Heidelberg: Springer, 2004 (LNCS 3127), S. 109-125
[Volltext]
@inproceedings{stumme2004iceberg,
author = {Stumme, Gerd},
title = {Iceberg Query Lattices for Datalog},
editor = {Wolff, Karl Erich and Pfeiffer, Heather D. and Delugach, Harry S.},
booktitle = {Conceptual Structures at Work: 12th International Conference on Conceptual Structures (ICCS 2004)},
series = {LNCS},
publisher = {Springer},
address = {Heidelberg},
year = {2004},
volume = {3127},
pages = {109-125},
url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/stumme2004iceberg.pdf},
keywords = {2004, analysis, concept, context, datalog, families, family, fca, formal, iceberg, itegpub, l3s, lattices, myown, pcf, power, queries, query}
}
Stumme, G.; Taouil, R.; Bastide, Y.; Pasquier, N. & Lakhal, L.: Computing iceberg concept lattices with TITANIC. In: Data & Knowledge Engineering 42 (2002), Nr. 2, S. 189-222
[Volltext]
We introduce the notion of iceberg concept lattices
and show their use in knowledge discovery in
databases. Iceberg lattices are a conceptual
clustering method, which is well suited for analyzing
very large databases. They also serve as a condensed
representation of frequent itemsets, as starting
point for computing bases of association rules, and
as a visualization method for association rules.
Iceberg concept lattices are based on the theory of
Formal Concept Analysis, a mathematical theory with
applications in data analysis, information retrieval,
and knowledge discovery. We present a new algorithm
called TITANIC for computing (iceberg) concept
lattices. It is based on data mining techniques with
a level-wise approach. In fact, TITANIC can be used
for a more general problem: Computing arbitrary
closure systems when the closure operator comes along
with a so-called weight function. The use of weight
functions for computing closure systems has not been
discussed in the literature up to now. Applications
providing such a weight function include association
rule mining, functional dependencies in databases,
conceptual clustering, and ontology engineering. The
algorithm is experimentally evaluated and compared
with Ganter's Next-Closure algorithm. The evaluation
shows an important gain in efficiency, especially for
weakly correlated data.
@article{stumme2002computing,
author = {Stumme, Gerd and Taouil, Rafik and Bastide, Yves and Pasquier, Nicolas and Lakhal, Lotfi},
title = {Computing iceberg concept lattices with TITANIC},
journal = {Data & Knowledge Engineering},
publisher = {Elsevier Science Publishers B. V.},
address = {Amsterdam, The Netherlands, The Netherlands},
year = {2002},
volume = {42},
number = {2},
pages = {189--222},
url = {http://portal.acm.org/citation.cfm?id=606457},
doi = {10.1016/S0169-023X(02)00057-5},
keywords = {citedBy:doerfel2012publication, fca, icfca, itegpub, l3s, myown, titanic},
abstract = {We introduce the notion of iceberg concept lattices
and show their use in knowledge discovery in
databases. Iceberg lattices are a conceptual
clustering method, which is well suited for analyzing
very large databases. They also serve as a condensed
representation of frequent itemsets, as starting
point for computing bases of association rules, and
as a visualization method for association rules.
Iceberg concept lattices are based on the theory of
Formal Concept Analysis, a mathematical theory with
applications in data analysis, information retrieval,
and knowledge discovery. We present a new algorithm
called TITANIC for computing (iceberg) concept
lattices. It is based on data mining techniques with
a level-wise approach. In fact, TITANIC can be used
for a more general problem: Computing arbitrary
closure systems when the closure operator comes along
with a so-called weight function. The use of weight
functions for computing closure systems has not been
discussed in the literature up to now. Applications
providing such a weight function include association
rule mining, functional dependencies in databases,
conceptual clustering, and ontology engineering. The
algorithm is experimentally evaluated and compared
with Ganter's Next-Closure algorithm. The evaluation
shows an important gain in efficiency, especially for
weakly correlated data.}
}