Jäschke, Robert and Rudolph, Sebastian
Cellier, Peggy and Distel, Felix and Ganter, Bernhard
Attribute Exploration on the Web
Contributions to the 11th International Conference on Formal Concept Analysis
2013
May
19–34
Technische Universität Dresden
We propose an approach for supporting attribute exploration by web information retrieval, in particular by posing appropriate queries to search engines, crowd sourcing systems, and the linked open data cloud. We discuss underlying general assumptions for this to work and the degree to which these can be taken for granted.
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-113133
2013, acquisition, analysis, attribute, computing, concept, crowdsourcing, data, exploration, fca, formal, human, information, ir, iteg, knowledge, l3s, linked, lod, open, retrieval, search, sparql, web
Doerfel, Stephan and Jäschke, Robert and Stumme, Gerd
Domenach, F. and Ignatov, D.I. and Poelmans, J.
Publication Analysis of the Formal Concept Analysis Community
ICFCA 2012
Springer
2012
7278
77–95
Lecture Notes in Artificial Intelligence
Berlin/Heidelberg
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.
https://www.kde.cs.uni-kassel.de/pub/pdf/doerfel2012publication.pdf
2012, analysis, community, concept, fca, home, info20pub, itegpub, l3s, myown, scientometrics
Poelmans, Jonas and Ignatov, DmitryI. and Viaene, Stijn and Dedene, Guido and Kuznetsov, SergeiO.
Perner, Petra
Text Mining Scientific Papers: A Survey on FCA-Based Information Retrieval Research
Advances in Data Mining. Applications and Theoretical Aspects
Springer Berlin Heidelberg
2012
7377
273-287
Lecture Notes in Computer Science
Formal Concept Analysis (FCA) is an unsupervised clustering technique and many scientific papers are devoted to applying FCA in Information Retrieval (IR) research. We collected 103 papers published between 2003-2009 which mention FCA and information retrieval in the abstract, title or keywords. Using a prototype of our FCA-based toolset CORDIET, we converted the pdf-files containing the papers to plain text, indexed them with Lucene using a thesaurus containing terms related to FCA research and then created the concept lattice shown in this paper. We visualized, analyzed and explored the literature with concept lattices and discovered multiple interesting research streams in IR of which we give an extensive overview. The core contributions of this paper are the innovative application of FCA to the text mining of scientific papers and the survey of the FCA-based IR research.
http://dx.doi.org/10.1007/978-3-642-31488-9_22
10.1007/978-3-642-31488-9_22
FCA, IR, Mining, SOTA, Text
Text Mining Scientific Papers: A Survey on FCA-Based Information Retrieval Research - Springer
Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd
Information Retrieval in Folksonomies: Search and Ranking
Proceedings of the 3rd European Semantic Web Conference
Springer
2006
411-426
Lecture Notes in Computer Science
FCA, OntologyHandbook, folkrank, folksonomy, graph, information, mining, pagerank, rank, ranking, retrieval, search, seminar2006
Cimiano, Philipp and Hotho, Andreas and Stumme, Gerd and Tane, Julien
Eklund, Peter
Conceptual Knowledge Processing with Formal Concept
Analysis and Ontologies
Concept Lattices
Springer
2004
2961
189–207
Lecture Notes in Computer Science
Berlin/Heidelberg
http://dx.doi.org/10.1007/978-3-540-24651-0_18
2004, citedBy:doerfel2012publication, fca, icfca, itegpub, knowledge, l3s, myown, processing
Calders, Toon and Goethals, Bart
Mining All Non-derivable Frequent Itemsets
PKDD '02: Proceedings of the 6th European Conference on Principles
of Data Mining and Knowledge Discovery
Springer-Verlag
2002
74–85
London, UK
FCA, OntologyHandbook
fca
Stumme, Gerd and Taouil, Rafik and Bastide, Yves and Pasquier, Nicolas and Lakhal, Lotfi
Computing iceberg concept lattices with TITANIC
Data & Knowledge Engineering
Elsevier Science Publishers B. V.
2002
42
189–222
2
Amsterdam, The Netherlands, The Netherlands
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.
http://portal.acm.org/citation.cfm?id=606457
10.1016/S0169-023X(02)00057-5
citedBy:doerfel2012publication, fca, icfca, itegpub, l3s, myown, titanic
Burdick, D. and Calimlim, M. and Gehrke, J.
MAFIA: A maximal frequent itemset algorithm for transactional databases
Proc. of the 17th Int. Conf. on Data Engineering
IEEE Computer Society
2001
FCA, OntologyHandbook
fca
Bykowski, Artur and Rigotti, Christophe
A condensed representation to find frequent patterns.
PODS
2001
http://dblp.uni-trier.de/db/conf/pods/pods2001.html#BykowskiR01
FCA, OntologyHandbook, dblp
fca
Bastide, Y.
Data Mining: algorithmes par niveau, techniques d'implementation
et applications
2000
Université de Clermont-Ferrand II
FCA, OntologyHandbook
fca
Boulicaut, Jean-Francois and Bykowski, Artur and Rigotti, Christophe
Approximation of Frequency Queries by Means of Free-Sets
PKDD '00: Proceedings of the 4th European Conference on Principles
of Data Mining and Knowledge Discovery
Springer-Verlag
2000
75–85
London, UK
FCA, OntologyHandbook
fca
Burmeister, P.
Formal concept analysis with \textscConImp : Introduction to the
basic features
1998
Technische Hochschule Darmstadt
Darmstadt, Germany
FCA, OntologyHandbook
fca
http://www.mathematik.tu-darmstadt.de/~burmeister/ConImpIntro.ps
Fayet, A. and Giacometti, A. and Laurent, D. and Spyratos, N.
D\'ecouverte de r�gles pertinentes dans les bases de donn�es
Actes des 14�mes journ�es Bases de Donn�es Avanc�es (BDA'98)
1998
Octobre
197–211
FCA, OntologyHandbook
fca
Brin, S. and Motwani, R. and Silverstein, C.
Beyond market baskets: Generalizing association rules to correlation
Proceedings of the 1997 ACM SIGMOD international conference on Management
of Data (SIGMOD'97)
ACM Press
1997
May
265–276
FCA, OntologyHandbook
fca
Brin, S. and Motwani, R. and Ullman, J. D. and Tsur, S.
Dynamic itemset counting and implication rules for market basket
data
Proceedings of the 1997 ACM SIGMOD international conference on Management
of Data (SIGMOD'97)
ACM Press
1997
May
255–264
FCA, OntologyHandbook
fca
Fayyad, U. M. and Piatetsky-Shapiro, G. and Smyth, P.
Fayyad, U. M. and Piatetsky-Shapiro, G. and Smyth, P. and Uthurusamy, R.
From data mining to knowledge discovery : An overview
Advances in Knowledge Discovery and Data Mining
AAAI Press
1996
1–30
FCA, OntologyHandbook
fca
Fayyad, U. M. and Piatetsky-Shapiro, G. and Smyth, P.
Knowledge discovery and data mining : Towards a unifying framework
Proceedings of the 2nd international conference on Knowledge Discovery
and Data mining (KDD'96)
AAAI Press
1996
August
82–88
FCA, OntologyHandbook
fca
Feldman, R. and Dagan, I.
Knowledge discovery in textual databases
Proceedings of the 1st international conference on Knowledge Discovery
and Data mining (KDD'95)
AAAI Press
1995
August
112–117
FCA, OntologyHandbook
fca
Breiman, L. and Friedman, J. H. and Olshen, R. A. and Stone, C. J.
Classification and regression trees
Wadsworth Publishing Company
1984
FCA, OntologyHandbook
fca
Brugger, W.
Philosophisches W�rterbuch
Herder
1976
Freiburg
FCA, OntologyHandbook, Philosophie, philosophy
fca