Citations

2009

#1
Andrews, S.: In-Close, a fast algorithm for computing formal concepts.
In: International Conference on Conceptual Structures (ICCS), Moscow, 2009.
[Springer 2009, ISBN 978-3-642-03078-9, PDF]
#2
Andrews, S.: Data Conversion and Interoperability for FCA.
In: Conceptual Structures Tools Interoperability Workshop at the 17th International Conference on Conceptual Structures, Moscow, 2009.
[PDF]
#3
Fang P.: A Research on Fuzzy Formal Concept Analysis Based Collaborative Filtering Recommendation System.
In: Knowledge Acquisition and Modeling, 2009. KAM '09., pp. 352-355.
[ISBN 978-0-7695-3888-4, DOI 10.1109/KAM.2009.40]

2010

#4
Molloy I.: Mining Roles with Multiple Objectives..
ACM Trans. Inf. Syst. Secur. 13(4), 35 pages.
[ACM, New York, NY, USA, DOI 10.1145/1880022.1880030]
#5
Andrews S.: Analysis of large data sets using formal concept lattices.
In: Kryszkiewicz M., Obiedkov S. (eds.) Proceedings of the 7th International Conference on Concept Lattices and Their Application.
[University of Sevilla, Sevilla, Spain, ISBN 978-84-614-4027-6, ISSN 1613-0073]
#6
Andrews S.: Knowledge Discovery through Creating Formal Contexts.
In: Intelligent Networking and Collaborative Systems (INCOS), 2010, pp. 455-460.
[IEEE, 978-1-4244-8828-5, DOI 10.1109/INCOS.2010.53]

2011

#7
Andrews S.: Visualising Computational Intelligence through Converting Data into Formal Concepts.
In: Bessis N., Xhafa F. (Eds.): Next Generation Data Technologies for Collective Computational Intelligence. Studies in Computational Intelligence Vol. 352.
[Springer-Verlag Berlin Heidelberg, 2011, ISBN 978-3-642-20343-5, DOI 10.1007/978-3-642-20344-2_6]
#8, #9
Andrews S.: In-Close2, a High Performance Formal Concept Miner.
In: Andrews S., Polovina S., Hill R., Akhgar B. (Eds.): Conceptual Structures for Discovering Knowledge - 19th International Conference on Conceptual Structures, ICCS 2011, pp. 50-62.
[Springer 2011, ISBN 978-3-642-22687-8]
#10
Kilišaslani Y.: Filtering Machine Translation Results with Automatically Constructed Concept Lattices.
In: Napoli A., Vychodil V. (Eds.): CLA 2011, pp. 59-73.
[INRIA Nancy - Grand Est and LORIA, 2011, ISBN 978-2-905267-78-8]
#11, #12, #13
Langdon W.B.: Formal Concept Analysis on Graphics Hardware.
In: Napoli A., Vychodil V. (Eds.): CLA 2011, pp. 59-73.
[INRIA Nancy - Grand Est and LORIA, 2011, ISBN 978-2-905267-78-8]
#14
Cintra M.E.: On Rule Generation Approaches for Genetic Fuzzy Systems.
In: ENIA'2011: Encontro Nacional de Inteligencia Artificial, pp. 263-274.
[Sociedade Brasileira da Computašao - SBC, PDF]
#15
Kaytoue M.: Biclustering Numerical Data in Formal Concept Analysis.
In: Valtchev P., Jńschke R. (Eds.): Formal Concept Analysis - 9th International Conference, ICFCA 2011, pp. 135-150.
[Springer 2011, ISBN 978-3-642-20513-2, DOI 10.1007/978-3-642-20514-9_12]
#16
Teijeiro C.: Design and Implementation of MapReduce Using the PGAS Programming Model with UPC.
In: 17th IEEE International Conference on Parallel and Distributed Systems ( ICPADS 2011), pp. 196-203.
[IEEE, 978-1-4577-1875-5, DOI 10.1109/ICPADS.2011.162]
#17
Malarvizhi P.: Distributed Approach to Web Page Categorization Using Map-Reduce Programming Model.
International Journal of Engineering and Technology Vol.3 (6), pp. 373-386.
[Engg Journals Publications, ISSN: 0975-4024, PDF]
#18
Kaytoue M.: Mining Biclusters of Similar Values with Triadic Concept Analysis.
In: Napoli A., Vychodil V. (Eds.): CLA 2011, pp. 175-190.
[INRIA Nancy - Grand Est and LORIA, 2011, ISBN 978-2-905267-78-8]
#19, #20
Burger J.: Parallel Processing, Multiprocessors and Virtualization in Data-Intensive Computing.
In: Furht B. and Escalante A. (eds.): Handbook of Data Intensive Computing, pp. 235-248.
[Springer, DOI 10.1007/978-1-4614-1415-5_9]

2012

#21, #22
Outrata J.: Fast algorithm for computing fixpoints of Galois connections induced by object-attribute relational data.
Information Sciences, Vol. 185, Issue 1, pp. 114-127.
[Elsevier, DOI 10.1016/j.ins.2011.09.023]

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© Petr KrajŔa, 2010, 2012
petr.krajca (at) upol.cz