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Querying Concept Lattices in Object Databases.

, , and . IADT, page 280-289. Society for Design and Process Science, 1302 West 25th Street, Suite 300, Austin, TX 78705-4236, USA, (1998)

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Towards an Object Database Approach for Managing Concept Lattices., , and . ER, volume 1331 of Lecture Notes in Computer Science, page 299-312. Springer, (1997)Fuzzy Concept Lattice-based Approach for Reactive Motifs Discovery., and . BIOINFORMATICS, page 326-330. SciTePress, (2012)Applying Association Rule Discovery to Select Laws and Articles for Lawsuit., and . PACIS, page 90. AISeL, (2005)Entropy-based Approach for Parameter-free Attribute Clustering., , and . MLDM (1), page 333-342. ibai Publishing, (2019)Handling Concept Drift via Ensemble and Class Distribution Estimation Technique., and . ADMA (2), volume 7121 of Lecture Notes in Computer Science, page 13-26. Springer, (2011)Knowledge Discovery from Very Large Databases Using Frequent Concept Lattices., and . ECML, volume 1810 of Lecture Notes in Computer Science, page 437-445. Springer, (2000)Predicting Protein Structural Class from Closed Protein Sequences., , and . PAKDD, volume 2637 of Lecture Notes in Computer Science, page 136-147. Springer, (2003)Representing Large Concept Hierarchies Using Lattice Data Structure., and . PAKDD, volume 2035 of Lecture Notes in Computer Science, page 186-197. Springer, (2001)Comprehensible Enzyme Function Classification Using Reactive Motifs with Negative Patterns., and . MLDM, volume 9729 of Lecture Notes in Computer Science, page 560-568. Springer, (2016)Information gain Aggregation-based Approach for Time Series Shapelets Discovery., , and . KSE, page 97-101. IEEE, (2018)