A formal concept analysis approach to rough data tables

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5908 LNAI, Issue , 2009, Pages 117-126

  Ganter, Bernhard ^a   Meschke, Christian ^a  

^a DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DATA WAREHOUSING SYSTEMS; FORMAL CONCEPT ANALYSIS; FORMAL DESCRIPTION; ROUGH DATA; VERY LARGE DATUM;

DATA WAREHOUSES; FUZZY SETS; GRANULAR COMPUTING;

ROUGH SET THEORY;

EID: 76649088710     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-10646-0_14     Document Type: Conference Paper

References (9)

1. Baader, F., Ganter, B., Sattler, U., Sertkaya, B.: Completing Description Logic Knowledge Bases using Formal Concept Analysis, vol.258. CEUR-WS.org (2007)
2. Bélohlávek, R., Vychodil, V.: What is a fuzzy concept lattice? In: CLA 2005, pp. 34-45 (2005) ISBN 80-248-0863-3)
3. Burmeister, P., Holzer, R.: On the Treatment of Incomplete Knowledge in Formal Concept Analysis, vol.1867, pp. 385-398. Springer, Heidelberg (2000)
4. Ganter, B., Wille, R.: Formal Concept Analysis - Mathematical Foundations. Springer, Heidelberg (1999)
5. http://www.infobright.org)
6. http://web.iitd.ac.in/%7Epremi09/infobright.pdf)
7. Infobright Community Edition, Technology White Paper, http://www.infobright.org/wiki/662270f87c77e37e879ba8f7ac2ea258/)
8. Lakhal, L., Stumme, G.: Efficient Mining of Association Rules Based on Formal Concept Analysis, vol.3626, pp. 180-195 (2005)
9. Pawlak, Z.: Rough Sets: Theoretical Aspects of Reasoning About Data. Kluwer Academic Publishers, Dordrecht (1991