Titlebook: Machine Learning and Knowledge Discovery in Databases; International Worksh Peggy Cellier,Kurt Driessens Conference proceedings 2020 Spring

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Conference proceedings 2020d Knowledge Discovery in Databases, ECML PKDD, held in Würzburg, Germany, in September 2019. .The 70 full papers and 46 short papers presented in the two-volume set were carefully reviewed and selected from 200 submissions. The two volumes (CCIS 1167 and CCIS 1168) present the papers that have been

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Pharos: Query-Driven Schema Inference for the Semantic Webthis approach is demonstrated by a prototype implementation and evaluated using example data. It is shown that a query-driven knowledge graph is an appropriate tool to approximate the semantics of the data contained in a data lake and to incrementally provide interactive feedback to data analysts to help them with the formulation of queries.

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Encoding Hierarchical Classification Codes for Privacy-Preserving Record Linkage Using Bloom Filters Hierarchy Preserving Bloom Filters (HPBF) are compared with positional .-grams and standard Bloom filters in a PPRL context. The method presented here is similarity preserving for hierarchies, privacy-preserving and will increase linkage quality when used in Bloom filter-based PPRL.

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https://doi.org/10.1007/978-3-030-43887-6artificial intelligence; computer systems; machine learning; databases; data mining; signal processing; in

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Communications in Computer and Information Sciencehttp://image.papertrans.cn/m/image/620527.jpg

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978-3-030-43886-9Springer Nature Switzerland AG 2020

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Machine Learning and Knowledge Discovery in Databases978-3-030-43887-6Series ISSN 1865-0929 Series E-ISSN 1865-0937

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