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Knowledge Management and Acquisition for Intelligent Systems

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Cover of 'Knowledge Management and Acquisition for Intelligent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Building a Commonsense Knowledge Base for a Collaborative Storytelling Agent
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    Chapter 2 A Knowledge Acquisition Method for Event Extraction and Coding Based on Deep Patterns
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    Chapter 3 Incremental Acquisition of Values to Deal with Cybersecurity Ethical Dilemmas
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    Chapter 4 Towards Realtime Adaptation: Uncovering User Models from Experimental Data
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    Chapter 5 Supporting Relevance Feedback with Concept Learning for Semantic Information Retrieval in Large OWL Knowledge Base
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    Chapter 6 Combining Concept Learning and Probabilistic Information Retrieval Model to Understand User’s Searching Intent in OWL Knowledge Base
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    Chapter 7 Diabetic Retinopathy Classification Using C4.5
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    Chapter 8 Stock Price Movement Prediction from Financial News with Deep Learning and Knowledge Graph Embedding
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    Chapter 9 Sample Dropout for Audio Scene Classification Using Multi-scale Dense Connected Convolutional Neural Network
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    Chapter 10 LOUGA: Learning Planning Operators Using Genetic Algorithms
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    Chapter 11 k-NN Based Forecast of Short-Term Foreign Exchange Rates
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    Chapter 12 Multi-dimensional Banded Pattern Mining
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    Chapter 13 Automated Business Process Discovery and Analysis for the International Higher Education Industry
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    Chapter 14 An Analysis of Interaction Between Users and Open Government Data Portals in Data Acquisition Process
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    Chapter 15 Blockchain: Trends and Future
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    Chapter 16 Selective Comprehension for Referring Expression by Prebuilt Entity Dictionary with Modular Networks
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    Chapter 17 Pose Specification Based Online Person Identification
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    Chapter 18 Get the Whole Action Event by Action Stage Classification
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    Chapter 19 Clothing Attribute Extraction Using Convolutional Neural Networks
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    Chapter 20 Research Paper Recommender Systems on Big Scholarly Data
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    Chapter 21 Classification of CSR Using Latent Dirichlet Allocation and Analysis of the Relationship Between CSR and Corporate Value
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    Chapter 22 A Weighted Similarity Measure Based on Meta Structure in Heterogeneous Information Networks
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Title
Knowledge Management and Acquisition for Intelligent Systems
Published by
Springer International Publishing, January 2018
DOI 10.1007/978-3-319-97289-3
ISBNs
978-3-31-997288-6, 978-3-31-997289-3
Editors

Kenichi Yoshida, Maria Lee

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 9%
Student > Master 3 5%
Student > Bachelor 1 2%
Unknown 48 84%
Readers by discipline Count As %
Computer Science 6 11%
Linguistics 1 2%
Business, Management and Accounting 1 2%
Economics, Econometrics and Finance 1 2%
Unknown 48 84%