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Query Languages Supporting Descriptive Rule Mining: A Comparative Study.

, , , and . Database Support for Data Mining Applications, volume 2682 of Lecture Notes in Computer Science, Springer, (2004)

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Improving Knowledge-Based System Performance by Experience., and . EWSL, page 15-23. Pitman Publishing, (1988)Query Languages Supporting Descriptive Rule Mining: A Comparative Study., , , and . Database Support for Data Mining Applications, volume 2682 of Lecture Notes in Computer Science, Springer, (2004)Multiple Sequence Alignment with Genetic Algorithms., and . CIBB, volume 6160 of Lecture Notes in Computer Science, page 206-214. Springer, (2009)Evaluation of Distraction in a Driver-Vehicle-Environment Framework: An Application of Different Data-Mining Techniques., and . ICDM, volume 5633 of Lecture Notes in Computer Science, page 176-190. Springer, (2009)Learning Quantitative Features in a Symbolic Environment., and . ISMIS, volume 542 of Lecture Notes in Computer Science, page 296-305. Springer, (1991)Learning First Order Theories.. ISMIS, volume 869 of Lecture Notes in Computer Science, page 356-365. Springer, (1994)Automatic Selection of GA Parameters for Fragile Watermarking., , and . EvoApplications, volume 8602 of Lecture Notes in Computer Science, page 526-537. Springer, (2014)A modular framework for color image watermarking., , and . Signal Process., (2016)RRE: a tool for the extraction of non-coding regions surrounding annotated genes from genomic datasets., , , , and . Bioinform., 20 (16): 2848-2850 (2004)Protecting the Content Integrity of Digital Imagery with Fidelity Preservation: An Improved Version., , and . ACM Trans. Multim. Comput. Commun. Appl., 10 (3): 29:1-29:5 (2014)