Download Data Integration in the Life Sciences: 10th International by Helena Galhardas, Erhard Rahm PDF

By Helena Galhardas, Erhard Rahm

This e-book constitutes the refereed lawsuits of the tenth foreign convention on facts Integration within the existence Sciences, DILS 2014, held in Lisbon, Portugal, in July 2014. The nine revised complete papers and the five brief papers integrated during this quantity have been conscientiously reviewed and chosen from 20 submissions. The papers conceal a variety of very important themes akin to information integration structures and purposes; biodiversity information administration; ontologies and visualization; associated information and question processing.

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Extra info for Data Integration in the Life Sciences: 10th International Conference, DILS 2014, Lisbon, Portugal, July 17-18, 2014. Proceedings

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Decis. Mak. 12, 66 (2012) 40 O. Spjuth et al. 9. : Resolving individuals contributing trace amounts of dna to highly complex mixtures using high-density snp genotyping microarrays. PLoS Genet. 4(8), e1000167 (2008) 10. : Identifying personal genomes by surname inference. Science 339(6117), 321–324 (2013) 11. : Protecting privacy using k-anonymity. Journal of the American Medical Informatics Association 15, 627–637 (2008) 12. : Protecting privacy when disclosing information: kanonymity and its enforcement through generalization and suppression.

In: Workshop: Knowledge Discovery and Data Mining Meets Linked Open Data-Know@ LOD at Extended Semantic Web Conference (ESWC), vol. : Amie: association rule mining under incomplete evidence in ontological knowledge bases. In: Proceedings of the 22nd International Conference on World Wide Web, pp. 413–422. : Inductive Logic Programming. : Inductive logic programming: Theory and methods. : Molecular and comparative genetics of mental retardation. 0 and beyond. : M´ethodologie et outils pour l’extraction de connaissances par Programmation Logique Inductive (PLI) (Poster).

Avg/max/min pos covered: Average/maximum/minimum number of positive examples covered by the rules of each theory. 4 to 14, with its maximum increasing from 15 to 35. This indicates that GO-term facts play a very positive role in the ILP process during learning. 2, with a increase of the maximum (from 35 to 42). These results confirm the intuition that with more generalization steps, theories tend to become more compact with fewer rules, each of them covering more examples. However it is important at that stage to assess the predictive power of each theory.

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