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Solving the discrete-continuous project scheduling problem via its discretization.

, , , , and . Math. Methods Oper. Res., 52 (3): 489-499 (2000)

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A Study of the SEMINTEC Approach to Frequent Pattern Mining., , and . Knowledge Discovery Enhanced with Semantic and Social Information, volume 220 of Studies in Computational Intelligence, (2009)Frequent Pattern Discovery from OWL DLP Knowledge Bases., , and . EKAW, volume 4248 of Lecture Notes in Computer Science, page 287-302. Springer, (2006)A Genetic Algorithm for Some Discrete-Continuous Scheduling Problems., , and . ICANNGA, page 273-276. Springer, (1995)Faster Frequent Pattern Mining from the Semantic Web., , and . Intelligent Information Systems, volume 35 of Advances in Soft Computing, page 121-130. Springer, (2006)Local search metaheuristics for discrete-continuous scheduling problems., , , , and . Eur. J. Oper. Res., 107 (2): 354-370 (1998)Materialized views in mining ontology instances., , and . ESWC (Posters), volume 367 of CEUR Workshop Proceedings, CEUR-WS.org, (2008)On Reducing Redundancy in Mining Relational Association Rules from the Semantic Web., , and . RR, volume 5341 of Lecture Notes in Computer Science, page 205-213. Springer, (2008)Solving the discrete-continuous project scheduling problem via its discretization., , , , and . Math. Methods Oper. Res., 52 (3): 489-499 (2000)Discrete-continuous Scheduling to Minimize the Makespan for Power Processing Rates of Jobs., , , , and . Discret. Appl. Math., 94 (1-3): 263-285 (1999)Attribute Value Ontology - Using Semantics in Data Mining., , and . ICEIS (2), page 329-334. SciTePress, (2012)