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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 Predicting Peak Demand Days for Asthma-Related Emergency Hospitalisations: A Machine Learning Approach
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    Chapter 2 Discovering Maximal High Utility Co-location Patterns from Spatial Data
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    Chapter 5 Automated Cattle Behavior Classification Using Wearable Sensors and Machine Learning Approach
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    Chapter 6 LexiFusedNet: A Unified Approach for Imbalanced Short-Text Classification Using Lexicon-Based Feature Extraction, Transfer Learning and One Class Classifiers
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    Chapter 7 Information Gerrymandering in Elections
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    Chapter 9 Blockchain as a Collaborative Technology - Case Studies in the Real Estate Sector in Vietnam
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    Chapter 10 Indonesian Forest Fire Data Clustering Using Spatiotemporal Data Using Grid Density-Based Clustering Algorithm
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    Chapter 11 Balanced Graph Structure Information for Brain Disease Detection
Attention for Chapter 2: Discovering Maximal High Utility Co-location Patterns from Spatial Data
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Summary
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Chapter title
Discovering Maximal High Utility Co-location Patterns from Spatial Data
Chapter number 2
Book title
Knowledge Management and Acquisition for Intelligent Systems
Published by
Springer, Singapore, January 2023
DOI 10.1007/978-981-99-7855-7_2
Book ISBNs
978-9-81-997854-0, 978-9-81-997855-7
Authors

Tran, Vanha

View on publisher site

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