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Cognitive Science and Artificial Intelligence

Overview of attention for book
Cover of 'Cognitive Science and Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Measurement of Disease Severity of Rice Crop Using Machine Learning and Computational Intelligence
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    Chapter 2 Flue-Cured Tobacco Leaves Classification: A Generalized Approach Using Deep Convolutional Neural Networks
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    Chapter 3 The Adaptive Strategies Improving Web Personalization Using the Tree Seed Algorithm (TSA)
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    Chapter 4 An Experimental Evaluation of Integrated Dematal and Fuzzy Cognitive Maps for Cotton Yield Prediction
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    Chapter 5 A Refined K-Means Technique to Find the Frequent Item Sets
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    Chapter 6 Finger Vein Detection Using Gabor Filter and Region of Interest
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    Chapter 7 Design of Rheumatoid Arthritis Predictor Model Using Machine Learning Algorithms
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    Chapter 8 Feature Based Opinion Mining and Sentiment Analysis Using Fuzzy Logic
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    Chapter 9 Hexagonal Image Processing and Transformations: A Practical Approach Using R
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    Chapter 10 EEG Based Emotion Recognition Using Wavelets and Neural Networks Classifier
Attention for Chapter 5: A Refined K-Means Technique to Find the Frequent Item Sets
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Citations

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Chapter title
A Refined K-Means Technique to Find the Frequent Item Sets
Chapter number 5
Book title
Cognitive Science and Artificial Intelligence
Published by
Springer, Singapore, January 2018
DOI 10.1007/978-981-10-6698-6_5
Book ISBNs
978-9-81-106697-9, 978-9-81-106698-6
Authors

A. Sarvani, B. Venugopal, Nagaraju Devarakonda

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Professor > Associate Professor 1 50%
Readers by discipline Count As %
Computer Science 2 100%

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