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Enhanced Industrial Machinery Condition Monitoring Methodology Based on Novelty Detection and Multi-Modal Analysis.

, , , , , and . IEEE Access, (2016)

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An Approach to Detect Negation on Medical Documents in Spanish., , , , and . Brain Informatics and Health, volume 8609 of Lecture Notes in Computer Science, page 366-375. Springer, (2014)A Recommender System Based on Multi-features., , and . ICCSA (2), volume 4706 of Lecture Notes in Computer Science, page 370-382. Springer, (2007)EquipAsso: An Algorithm based on New Relational Algebraic Operators for Association Rules Discovery., and . Computational Intelligence, page 124-128. IASTED/ACTA Press, (2005)New algebraic operators and SQL primitives for mining classification rules., and . Computational Intelligence, page 61-65. IASTED/ACTA Press, (2006)Fault Detection and Identification Methodology Under an Incremental Learning Framework Applied to Industrial Machinery., , , , , , , and . IEEE Access, (2018)Enhanced Industrial Machinery Condition Monitoring Methodology Based on Novelty Detection and Multi-Modal Analysis., , , , , and . IEEE Access, (2016)GraphTQL: A visual query system for graph databases., , , and . J. Comput. Lang., (2019)Mining Association Rules Using Fuzzy Inference on Web Data., , , and . AWIC, volume 2663 of Lecture Notes in Computer Science, page 73-82. Springer, (2003)Enhancing the exploitation of data mining in relational database systems via the rough sets theory including precision variables., and . SAC, page 70-73. ACM, (1998)New Algebraic Operators and SQL Primitives for Mining Association Rules., , and . Neural Networks and Computational Intelligence, page 227-232. IASTED/ACTA Press, (2003)