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Big Data – BigData 2020

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Cover of 'Big Data – BigData 2020'

Table of Contents

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    Book Overview
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    Chapter 1 Entropy-Based Approach to Efficient Cleaning of Big Data in Hierarchical Databases
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    Chapter 2 A Performance Prediction Model for Spark Applications
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    Chapter 3 Predicting the DJIA with News Headlines and Historic Data Using Hybrid Genetic Algorithm/Support Vector Regression and BERT
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    Chapter 4 Processing Big Data Across Infrastructures
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    Chapter 5 Fake News Classification of Social Media Through Sentiment Analysis
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    Chapter 6 Scalable Reference Genome Assembly from Compressed Pan-Genome Index with Spark
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    Chapter 7 A Web Application for Feral Cat Recognition Through Deep Learning
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    Chapter 8 MCF: Towards Window-Based Multiple Cuckoo Filter in Stream Computing
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    Chapter 9 A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems
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    Chapter 10 Ensemble Learning for Heterogeneous Missing Data Imputation
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    Chapter 11 Validating Goal-Oriented Hypotheses of Business Problems Using Machine Learning: An Exploratory Study of Customer Churn
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    Chapter 12 The Collaborative Influence of Multiple Interactions on Successive POI Recommendation
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    Chapter 13 Chemical XAI to Discover Probable Compounds’ Spaces Based on Mixture of Multiple Mutated Exemplars and Bioassay Existence Ratio
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    Chapter 14 Clinical Trials Data Management in the Big Data Era
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    Chapter 15 Cross-Cancer Genome Analysis on Cancer Classification Using Both Unsupervised and Supervised Approaches
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    Chapter 16 Heavy Vehicle Classification Through Deep Learning
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    Chapter 17 Spatial Association Pattern Mining Using In-Memory Computational Framework
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    Chapter 18 Dissecting Biological Functions for BRCA Genes and Their Targeting MicroRNAs Within Eight Clusters
Attention for Chapter 7: A Web Application for Feral Cat Recognition Through Deep Learning
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Chapter title
A Web Application for Feral Cat Recognition Through Deep Learning
Chapter number 7
Book title
Big Data – BigData 2020
Published by
Springer, Cham, September 2020
DOI 10.1007/978-3-030-59612-5_7
Book ISBNs
978-3-03-059611-8, 978-3-03-059612-5
Authors

Jingling Zhou, Shiyu Wang, Yunxue Chen, Richard O. Sinnott, Zhou, Jingling, Wang, Shiyu, Chen, Yunxue, Sinnott, Richard O.

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X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 13%
Researcher 1 13%
Student > Postgraduate 1 13%
Student > Master 1 13%
Unknown 4 50%
Readers by discipline Count As %
Environmental Science 1 13%
Computer Science 1 13%
Medicine and Dentistry 1 13%
Engineering 1 13%
Unknown 4 50%