
Galois Connections, T-CUBES, and P2P Data Mining
Litwin, Witold (2007), Galois Connections, T-CUBES, and P2P Data Mining, in Moro, Gianluca; Bergamaschi, Sonia; Joseph, Sam; Morin, Jean-Henry; Ouksel, Aris M., Databases, Information Systems, and Peer-to-Peer Computing International Workshops, DBISP2P 2005/2006, Trondheim, Norway, August 28-29, 2006, Revised Selected Papers, Springer : Berlin, p. 1-12. http://dx.doi.org/10.1007/978-3-540-71661-7_1
Type
Communication / ConférenceDate
2007Conference title
Databases, Information Systems, and Peer-to-Peer Computing International Workshops, DBISP2P 2005/2006Conference date
2006-08Conference city
TrondheimConference country
NorvègeBook title
Databases, Information Systems, and Peer-to-Peer Computing International Workshops, DBISP2P 2005/2006, Trondheim, Norway, August 28-29, 2006, Revised Selected PapersBook author
Moro, Gianluca; Bergamaschi, Sonia; Joseph, Sam; Morin, Jean-Henry; Ouksel, Aris M.Publisher
Springer
Series title
Lecture Notes in Computer ScienceSeries number
4125Published in
Berlin
ISBN
978-3-540-71660-0
Number of pages
418Pages
1-12
Publication identifier
Metadata
Show full item recordAuthor(s)
Litwin, WitoldAbstract (EN)
Galois connections are bread and butter of the formal concept analysis. They concern objects with properties, represented typically as a single-valued (.true or null) binary attributes. The closed sets and Galois lattices are the most studied connections. We generalize them to the relational database universe with the multi-valued domains. We show interesting queries that appear from, hard or impossible with SQL at present. As remedy, we generalize CUBE to a new operator we call θ-CUBE, writing T-CUBE It calculates the groups according to all the values of the θ operator popular with the relational joins. We show also the utility of new aggregate functions LIST and T-GROUP. In this context We finally discuss scalable distributed algorithms in P2P or grid environment for T-CUBE queries Our proposals should benefit to both: the data mining and the concept analysis over many objects.Subjects / Keywords
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