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Computational Science/Intelligence and Applied Informatics

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Cover of 'Computational Science/Intelligence and Applied Informatics'

Table of Contents

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    Book Overview
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    Chapter 1 Proposed Framework Application for a Quality Mobile Application Measurement and Evaluation
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    Chapter 2 Proposal and Development of Artificial Personality(AP) Application Using the “Requesting” Mechanism
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    Chapter 3 Load Experiment of the vDACS Scheme in Case of the 300 Simultaneous Connection
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    Chapter 4 Hearing-Dog Robot to Wake People Up Using its Bumping Action
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    Chapter 5 Implementation of Document Production Support System with Obsession Mechanism
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    Chapter 6 Detecting Outliers in Terms of Errors in Embedded Software Development Projects Using Imbalanced Data Classification
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    Chapter 7 Development of Congestion State Guiding System for University Cafeteria
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    Chapter 8 Analog Learning Neural Circuit with Switched Capacitor and the Design of Deep Learning Model
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    Chapter 9 Study on Category Classification of Conversation Document in Psychological Counseling with Machine Learning
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    Chapter 10 Improvement of “Multiple Sightseeing Spot Scheduling System”
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    Chapter 11 Advertising in the Webtoon of Cosmetics Brand-Focusing on ‘tn’ Youth Cosmetics Brands
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    Chapter 12 Testing Driven Development of Mobile Applications Using Automatic Bug Management Systems
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    Chapter 13 Shape Recovery of Polyp from Endoscope Image Using Blood Vessel Information
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    Chapter 14 Design of Agent Development Framework for RoboCupRescue Simulation
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    Chapter 15 Mist Computing: Linking Cloudlet to Fogs
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    Chapter 16 Self-recognition and Fault Awareness in OpenFlow Mesh
Attention for Chapter 9: Study on Category Classification of Conversation Document in Psychological Counseling with Machine Learning
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Chapter title
Study on Category Classification of Conversation Document in Psychological Counseling with Machine Learning
Chapter number 9
Book title
Computational Science/Intelligence and Applied Informatics
Published by
Springer, Cham, July 2017
DOI 10.1007/978-3-319-63618-4_9
Book ISBNs
978-3-31-963617-7, 978-3-31-963618-4
Authors

Yasuo Ebara, Yuma Hayashida, Tomoya Uetsuji, Koji Koyamada

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 17%
Professor 1 17%
Student > Bachelor 1 17%
Researcher 1 17%
Student > Postgraduate 1 17%
Other 0 0%
Unknown 1 17%
Readers by discipline Count As %
Unspecified 1 17%
Environmental Science 1 17%
Computer Science 1 17%
Medicine and Dentistry 1 17%
Engineering 1 17%
Other 0 0%
Unknown 1 17%