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Knowledge Discovery, Knowledge Engineering and Knowledge Management

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Cover of 'Knowledge Discovery, Knowledge Engineering and Knowledge Management'

Table of Contents

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    Book Overview
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    Chapter 1 Image Representation for Image Mining: A Study Focusing on Mining Satellite Images for Census Data Collection
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    Chapter 2 Exercises in Unstyling Texts: Formalisation and Visualisation of a Narrative’s [Space, Time, Actors, Motion] Components
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    Chapter 3 Multi-layer and Co-learning Systems for Semantic Textual Similarity, Semantic Relatedness and Recognizing Textual Entailment
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    Chapter 4 Cell Classification for Layout Recognition in Spreadsheets
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    Chapter 5 Computing Data Lineage and Business Semantics for Data Warehouse
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    Chapter 6 Introducing a Vector Space Model to Perform a Proactive Credit Scoring
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    Chapter 7 Text Mining for Word Sentiment Detection
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    Chapter 8 A Smart System for Haptic Quality Control: A Knowledge-Based Approach to Formalize the Sense of Touch
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    Chapter 9 The Mereologies of Upper Ontologies
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    Chapter 10 SerVCS: Serialization Agnostic Ontology Development in Distributed Settings
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    Chapter 11 Conceptual Software Design: Modularity Matrix as Source of Conceptual Integrity
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    Chapter 12 Extraction of Patterns Using NLP: US and European Patents Domain
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    Chapter 13 Cloud-Based Management of Machine Learning Generated Knowledge for Fleet Data Refinement
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    Chapter 14 Knowledge Management in Enterprise Architecture Projects
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    Chapter 15 Empowering SMEs to Make Better Decisions with Business Intelligence: A Case Study
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    Chapter 16 Congestion Control Supported Dual-Mode Video Transfer
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    Chapter 17 Reframing Coordination in Knowledge Transfer: A Sociomaterial Perspective
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    Chapter 18 Records Systems and Information Systems: Connecting in Organizations
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Knowledge Discovery, Knowledge Engineering and Knowledge Management
Published by
Springer International Publishing, November 2018
DOI 10.1007/978-3-319-99701-8
978-3-31-999700-1, 978-3-31-999701-8

Fred, Ana, Dietz, Jan , Aveiro, David, Liu, Kecheng, Bernardino, Jorge, Filipe, Joaquim

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Geographical breakdown

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Readers by discipline Count As %
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