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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 Business Ethics as Personal Ethics
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    Chapter 2 Automatic Generation of Poetry Inspired by Twitter Trends
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    Chapter 3 Exploiting Guest Preferences with Aspect-Based Sentiment Analysis for Hotel Recommendation
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    Chapter 4 Searching the Web by Meaning: A Case Study of Lithuanian News Websites
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    Chapter 5 Piecewise Factorization for Time Series Classification
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    Chapter 6 Experiences in WordNet Visualization with Labeled Graph Databases
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    Chapter 7 Open-Source Search Engines in the Cloud
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    Chapter 8 Cross-Domain Sentiment Classification via Polarity-Driven State Transitions in a Markov Model
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    Chapter 9 A Word Prediction Methodology Based on Posgrams
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    Chapter 10 Is Bitcoin’s Market Predictable? Analysis of Web Search and Social Media
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    Chapter 11 A Visual Similarity Metric for Ontology Alignment
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    Chapter 12 Model-Intersection Problems and Their Solution Schema Based on Equivalent Transformation
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    Chapter 13 Representing and Managing Unbalanced Multi-sets
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    Chapter 14 Ranking with Ties of OWL Ontology Reasoners Based on Learned Performances
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    Chapter 15 Refinement by Filtering Translation Candidates and Similarity Based Approach to Expand Emotion Tagged Corpus
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    Chapter 16 Employing Knowledge Artifacts to Develop Time-Depending Expert Systems
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    Chapter 17 A Property Grammar-Based Method to Enrich the Arabic Treebank ATB
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    Chapter 18 Driving Innovation in Youth Policies with Open Data
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    Chapter 19 OntologyLine: A New Framework for Learning Non-taxonomic Relations of Domain Ontology
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    Chapter 20 Software Is Part Poetry, Part Prose
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    Chapter 21 Automatic Pattern Generator of Natural Language Text Applied in Public Health
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    Chapter 22 Active Integrity Constraints: From Theory to Implementation
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    Chapter 23 Predictive Analytics in Business Intelligence Systems via Gaussian Processes for Regression
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    Chapter 24 Semantically Enhancing Recommender Systems
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    Chapter 25 Analyzing Social Learning Management Systems for Educational Environments
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    Chapter 26 Extending the BPMN Specification to Support Cost-Centric Simulations of Business Processes
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    Chapter 27 Supporting Semantic Annotation in Collaborative Workspaces with Knowledge Based on Linked Open Data
Overall attention for this book and its chapters
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Title
Knowledge Discovery, Knowledge Engineering and Knowledge Management
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-52758-1
ISBNs
978-3-31-952757-4, 978-3-31-952758-1
Editors

Fred, Ana, Dietz, Jan L.G., Aveiro, David, Liu, Kecheng, Filipe, Joaquim

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 50%
Student > Ph. D. Student 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Engineering 1 50%