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Titlebook: Knowledge Discovery, Knowledge Engineering and Knowledge Management; 8th International Jo Ana Fred,Jan‘Dietz,Joaquim Filipe Conference proc

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发表于 2025-3-21 16:16:46 | 显示全部楼层 |阅读模式
书目名称Knowledge Discovery, Knowledge Engineering and Knowledge Management
副标题8th International Jo
编辑Ana Fred,Jan‘Dietz,Joaquim Filipe
视频videohttp://file.papertrans.cn/544/543882/543882.mp4
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Knowledge Discovery, Knowledge Engineering and Knowledge Management; 8th International Jo Ana Fred,Jan‘Dietz,Joaquim Filipe Conference proc
描述This book constitutes the thoroughly refereed proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2016, held in Porto, Portugal, in November 2016..The 18 full papers presented were carefully reviewed and selected from 186 submissions. The papers are organized in topical sections on knowledge discovery and information retrieval; knowledge engineering and ontology development; and knowledge management and information sharing..
出版日期Conference proceedings 2019
关键词artificial intelligence; computational linguistics; computer networks; data mining; decision support sys
版次1
doihttps://doi.org/10.1007/978-3-319-99701-8
isbn_softcover978-3-319-99700-1
isbn_ebook978-3-319-99701-8Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Exercises in Unstyling Texts: Formalisation and Visualisation of a Narrative’s [Space, Time, Actors,ace, time, actors and motion – can help depicting a storyline in a way that facilitates comparative analyses across texts, and ultimately fostering knowledge discovery. The paper presents the original aim of the project and sums up the knowledge modelling choices made in order to formalise the segme
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Multi-layer and Co-learning Systems for Semantic Textual Similarity, Semantic Relatedness and Recognsimilarity metrics we can apply in order to assess the similarity of two texts. Previously, we proposed a four-layer system [.] that takes into account not only string and semantic word similarities, but also word alignment and sentence structure. Our system achieved new state of the art or competit
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Computing Data Lineage and Business Semantics for Data Warehouseependencies, data lineage and business semantics from the database structures and queries, independently of actual data in the data warehouse. Chosen approach based on semantic techniques, probabilistic weight calculation and estimation of the impact of data in queries and implemented rule system su
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Introducing a Vector Space Model to Perform a Proactive Credit Scoringassist the financial operators in some crucial tasks. The most important of them is to classify the loan applications as reliable or unreliable, on the basis of the customer information at their disposal. Such instruments of credit scoring allow the operators to reduce the financial losses, and for
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Text Mining for Word Sentiment Detectionilistic and information theoretic models. While most of the unsupervised approaches require a set of seed words to begin their work, our methods differ from these by using no . knowledge. In addition, our models are effective with a diverse corpus rather than requiring a corpus for a limited domain.
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