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Titlebook: Case-Based Reasoning Research and Development; 28th International C Ian Watson,Rosina Weber Conference proceedings 2020 Springer Nature Swi

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書(shū)目名稱Case-Based Reasoning Research and Development
副標(biāo)題28th International C
編輯Ian Watson,Rosina Weber
視頻videohttp://file.papertrans.cn/223/222322/222322.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Case-Based Reasoning Research and Development; 28th International C Ian Watson,Rosina Weber Conference proceedings 2020 Springer Nature Swi
描述.This book constitutes the refereed proceedings of the 28th International Conference on Case-Based Reasoning Research and Development, ICCBR 2020, held in Salamanca, Spain*, in June 2020...The 20 full papers and 2 short papers presented in this book were carefully reviewed and selected from 64 submissions. The theme of ICCBR 2020, “CBR Across Bridges” was highlighted by several activities. These papers, which are included in the proceedings, address many themes related to the theory and application of case-based reasoning and its future direction...*The conference was held virtually due to the COVID-19 pandemic..
出版日期Conference proceedings 2020
關(guān)鍵詞artificial intelligence; case base; case based reasoning; cbr; computer networks; computer programming; co
版次1
doihttps://doi.org/10.1007/978-3-030-58342-2
isbn_softcover978-3-030-58341-5
isbn_ebook978-3-030-58342-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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A*-Based Similarity Assessment of Semantic Graphsocus on a similarity measure for semantically labeled graphs whose labels are composed in an object-oriented manner. The measure is based on A* search and is particularly suited for case-based reasoning as it can be combined with knowledge-intensive local similarity measures and outputs similarities
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A Time-Series Similarity Measure for Case-Based Deviation Management to Support Flexible Workflow Exxecution. With a case-based approach we aim at supporting the continuation of a deviant workflow execution by utilizing successfully completed processes, where similar deviations emerged. As a first step, this work introduces a novel similarity measure based on time sequence similarity that is able
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Classifying Breast Cancer Tissue Through DNA Methylation and Clinical Covariate Based Retrievalinical data with microarray data is surprisingly absent. With this in mind, clinical covariate data was used to pre-select previously classified breast cancer tissue, and employ these classifications to new test cases. The pool of retrieved cases was then reduced further by investigating similar DNA
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