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Advances in Integrations of Intelligent Methods

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Cover of 'Advances in Integrations of Intelligent Methods'

Table of Contents

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    Book Overview
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    Chapter 1 Aligning Learning Materials and Assessment with Course Learning Outcomes in MOOCs Using Data Mining Techniques
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    Chapter 2 Edge-Centric Queries’ Stream Management Based on an Ensemble Model
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    Chapter 3 Bitcoin Price Prediction Combining Data and Text Mining
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    Chapter 4 Toward New Evaluation Metrics for Relational Learning
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    Chapter 5 Color Models for Skin Lesion Classification from Dermatoscopic Images
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    Chapter 6 Methods of Statistical Analysis and Machine Learning for the Evaluation of Generated Hardware and Firmware Designs
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    Chapter 7 Genetic Algorithms for Creating Large Job Shop Dispatching Rules
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    Chapter 8 o-LPMLN: A Combination of LPMLN and LPOD
Attention for Chapter 1: Aligning Learning Materials and Assessment with Course Learning Outcomes in MOOCs Using Data Mining Techniques
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