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Finding Concepts with Unexpected Multi-Label Objects Based on Shared Subspace Method.

, , , and . CLA, volume 2123 of CEUR Workshop Proceedings, page 93-104. CEUR-WS.org, (2018)

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Finding Conceptual Document Clusters Based on Top-N Formal Concept Search: Pruning Mechanism and Empirical Effectiveness, and . (2011)Constructing Appropriate Data Abstractions for Mining Classification Knowledge., , and . INAP (LNCS Volume), volume 2543 of Lecture Notes in Computer Science, page 276-289. Springer, (2001)Finding Top-N Pseudo Formal Concepts with Core Intents., and . MLDM, volume 5632 of Lecture Notes in Computer Science, page 479-493. Springer, (2009)Top-N Minimization Approach for Indicative Correlation Change Mining., , and . MLDM, volume 7376 of Lecture Notes in Computer Science, page 102-116. Springer, (2012)Enumerating Maximal Isolated Cliques Based on Vertex-Dependent Connection Lower Bound., , and . MLDM, volume 9729 of Lecture Notes in Computer Science, page 569-583. Springer, (2016)A Fast and Complete Enumeration of Pseudo-Cliques for Large Graphs., , , and . PAKDD (1), volume 9651 of Lecture Notes in Computer Science, page 423-435. Springer, (2016)Planning with Abstraction Based on Partial Predicate Mappings., and . ALT, volume 743 of Lecture Notes in Computer Science, page 183-194. Springer, (1992)Data Mining of Time-Series Medical Data by Formal Concept Analysis., , , and . KES (2), volume 4693 of Lecture Notes in Computer Science, page 1214-1221. Springer, (2007)Finding Concepts with Unexpected Multi-Label Objects Based on Shared Subspace Method., , , and . CLA, volume 2123 of CEUR Workshop Proceedings, page 93-104. CEUR-WS.org, (2018)An Extended Branch and Bound Search Algorithm for Finding Top- N Formal Concepts of Documents., and . JSAI, volume 4384 of Lecture Notes in Computer Science, page 276-288. Springer, (2006)