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Artificial Intelligence: Methodology, Systems, and Applications

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Cover of 'Artificial Intelligence: Methodology, Systems, and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Algorithm Selection Using Performance and Run Time Behavior
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    Chapter 2 A Weighted Feature Selection Method for Instance-Based Classification
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    Chapter 3 Handling Uncertain Attribute Values in Decision Tree Classifier Using the Belief Function Theory
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    Chapter 4 Using Machine Learning to Generate Predictions Based on the Information Extracted from Automobile Ads
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    Chapter 5 Estimating the Accuracy of Spectral Learning for HMMs
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    Chapter 6 Combining Structured and Free Textual Data of Diabetic Patients’ Smoking Status
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    Chapter 7 Deep Learning Architecture for Part-of-Speech Tagging with Word and Suffix Embeddings
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    Chapter 8 Response Time Analysis of Text-Based CAPTCHA by Association Rules
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    Chapter 9 New Model Distances and Uncertainty Measures for Multivalued Logic
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    Chapter 10 Visual Anomaly Detection in Educational Data
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    Chapter 11 Extracting Patterns from Educational Traces via Clustering and Associated Quality Metrics
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    Chapter 12 Classifying Written Texts Through Rhythmic Features
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    Chapter 13 Using Context Information for Knowledge-Based Word Sense Disambiguation
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    Chapter 14 Towards Translation of Tags in Large Annotated Image Collections
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    Chapter 15 Linking Tweets to News: Is All News of Interest?
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    Chapter 16 A Novel Method for Extracting Feature Opinion Pairs for Turkish
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    Chapter 17 In Search of Credible News
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    Chapter 18 Smooth Stroke Width Transform for Text Detection
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    Chapter 19 Hearthstone Helper - Using Optical Character Recognition Techniques for Cards Detection
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    Chapter 20 Reasoning with Co-variations
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    Chapter 21 Influencing the Beliefs of a Dialogue Partner
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    Chapter 22 Combining Ontologies and IFML Models Regarding the GUIs of Rich Internet Applications
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    Chapter 23 Identity Judgments, Situations, and Semantic Web Representations
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    Chapter 24 Local Search for Maximizing Satisfiability in Qualitative Spatial and Temporal Constraint Networks
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    Chapter 25 Forming Student Groups with Student Preferences Using Constraint Logic Programming
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    Chapter 26 InterCriteria Analysis of Ant Algorithm with Environment Change for GPS Surveying Problem
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    Chapter 27 GPU-Accelerated Flight Route Planning for Multi-UAV Systems Using Simulated Annealing
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    Chapter 28 Reconstruction of Battery Level Curves Based on User Data Collected from a Smartphone
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    Chapter 29 Possible Bribery in k-Approval and k-Veto Under Partial Information
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    Chapter 30 An Adjusted Recommendation List Size Approach for Users’ Multiple Item Preferences
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    Chapter 31 mRHR: A Modified Reciprocal Hit Rank Metric for Ranking Evaluation of Multiple Preferences in Top-N Recommender Systems
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    Chapter 32 A Cooperative Control System for Virtual Train Crossing
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    Chapter 33 Artificial Intelligence in Data Science
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    Chapter 34 Exploring the Use of Resources in the Educational Site Ucha.SE
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    Chapter 35 Expressing Sentiments in Game Reviews
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    Chapter 36 The Select and Test (ST) Algorithm and Drill-Locate-Drill (DLD) Algorithm for Medical Diagnostic Reasoning
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    Chapter 37 How to Detect and Analyze Atherosclerotic Plaques in B-MODE Ultrasound Images: A Pilot Study of Reproducibility of Computer Analysis
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    Chapter 38 Multifactor Modelling with Regularization
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    Chapter 39 Erratum to: A Novel Method for Extracting Feature Opinion Pairs for Turkish
Attention for Chapter 3: Handling Uncertain Attribute Values in Decision Tree Classifier Using the Belief Function Theory
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Chapter title
Handling Uncertain Attribute Values in Decision Tree Classifier Using the Belief Function Theory
Chapter number 3
Book title
Artificial Intelligence: Methodology, Systems, and Applications
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-44748-3_3
Book ISBNs
978-3-31-944747-6, 978-3-31-944748-3
Authors

Asma Trabelsi, Zied Elouedi, Eric Lefevre

Editors

Christo Dichev, Gennady Agre

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 40%
Student > Ph. D. Student 1 20%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 3 60%
Engineering 1 20%
Unknown 1 20%