Publications
Analysis of Communities in Social Media
Atzmueller, M.
, 'Proc. 20th Intl. Conference on Information and Knowledge Management (CIKM 2011)', ACM Press, Glasgow, Scotland, UK (2011)
Data Mining
Atzmueller, M.
McCarthy, P. M. & Boonthum, C., ed., 'Applied Natural Language Processing and Content Analysis: Advances in Identification, Investigation and Resolution.', IGI Global (2011)
Efficient Descriptive Community Mining
Atzmueller, M. & Mitzlaff, F.
, 'Proc. 24th Intl. FLAIRS Conference', AAAI Press (2011)
Face-to-Face Contacts during a Conference: Communities, Roles, and Key Players
Atzmueller, M.; Doerfel, S.; Hotho, A.; Mitzlaff, F. & Stumme, G.
, 'Proc. Workshop on Mining Ubiquitous and Social Environments (MUSE 2011) at ECML/PKDD 2011', to appear (2011)
VIKAMINE - A Rich-Client Environment for Intelligent Pattern Mining and Subgroup Discovery
Atzmueller, M. & Lemmerich, F.
, 'Proceedings of the LWA 2011 - Learning, Knowledge, Adaptation' (2011)
Modeling Location-Based Profiles of Social Image Media using Explorative Pattern Mining
Lemmerich, F. & Atzmueller, M.
, 'Proc. IEEE SocialCom 2011, Workshop on Modeling Social Media (MSM 2011)', IEEE Computer Society (2011)
Proceedings of the 2010 Workshop on Mining Ubiquitous and Social Environments (MUSE 2010)
2010, Atzmueller, M. & Hotho, A., ed., ECML/PKDD 2010, Barcelona, Spain
Proceedings of the LWA 2010 - Lernen, Wissen, Adaptivität
2010, Atzmueller, M.; Benz, D.; Hotho, A. & Stumme, G., ed., Technical report (KIS), 2010-10, Department of Electrical Engineering/Computer Science, Kassel University
Ready for the MACE? The Mining and Analysis Continuum of Explaining Uncovered
Atzmueller, M. & Roth-Berghofer, T.
2010, Technical report, Deutsches Forschungszentrum für Künstliche Intelligenz
The Mining and Analysis Continuum of Explaining Uncovered
Atzmueller, M. & Roth-Berghofer, T.
, 'Proc. 30th SGAI International Conference on Artificial Intelligence (AI-2010)' (2010)
Towards Explanation-Aware Social Software: Applying the Mining and Analysis Continuum of Explaining
Atzmueller, M. & Roth-Berghofer, T.
, 'Proc. Workshop on Explanation-aware Computing ExaCt 2010 @ ECAI 2010' (2010)
Towards Mining Descriptive Community Patterns
Atzmueller, M. & Mitzlaff, F.
, 'Workshop on Mining Patterns and Subgroups', Lorentz Center, Leiden, The Netherlands. Awarded with the Best Discovery Award (2010)
Validation of Mixed-Structured Data Using Pattern Mining and Information Extraction
Atzmueller, M. & Beer, S.
, 'Proc. 55th IWK, International Workshop on Design, Evaluation and Refinement of Intelligent Systems (DERIS)', University of Ilmenau (2010)
Efficient Mining of Association Rules Based on Formal Concept Analysis
Lakhal, L. & Stumme, G.
'Formal Concept Analysis: Foundations and Applications', 3626(), Springer, Heidelberg, 180-195 (2005) [pdf]
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.
Generating a Condensed Representation for Association Rules
Pasquier, N.; Taouil, R.; Bastide, Y.; Stumme, G. & Lakhal, L.
Journal Intelligent Information Systems (JIIS), 24(1) 29-60 (2005) [pdf]