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Advances in Big Data

Overview of attention for book
Cover of 'Advances in Big Data'

Table of Contents

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    Book Overview
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    Chapter 1 Predicting Human Behavior Based on Web Search Activity: Greek Referendum of 2015
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    Chapter 2 Spatial Bag of Features Learning for Large Scale Face Image Retrieval
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    Chapter 3 Compact Video Description and Representation for Automated Summarization of Human Activities
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    Chapter 4 Incremental Estimation of Visual Vocabulary Size for Image Retrieval
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    Chapter 5 Attribute Learning for Network Intrusion Detection
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    Chapter 6 Sampling Methods in Genetic Programming Learners from Large Datasets: A Comparative Study
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    Chapter 7 A Fast Deep Convolutional Neural Network for Face Detection in Big Visual Data
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    Chapter 8 Novel Automatic Filter-Class Feature Selection for Machine Learning Regression
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    Chapter 9 Learning Using Multiple-Type Privileged Information and SVM+ThinkTank
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    Chapter 10 Learning Symbols by Neural Network
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    Chapter 11 A CPM-Based Change Detection Test for Big Data
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    Chapter 12 Hadoop MapReduce Performance on SSDs: The Case of Complex Network Analysis Tasks
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    Chapter 13 Designing HMMs in the Age of Big Data
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    Chapter 14 Analyzing Big Security Logs in Cluster with Apache Spark
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    Chapter 15 Delay Prediction System for Large-Scale Railway Networks Based on Big Data Analytics
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    Chapter 16 An Empirical Comparison of Methods for Multi-label Data Stream Classification
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    Chapter 17 Extended Formulations for Online Action Selection on Big Action Sets
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    Chapter 18 A-BIRCH: Automatic Threshold Estimation for the BIRCH Clustering Algorithm
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    Chapter 19 Playlist Generation via Vector Representation of Songs
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    Chapter 20 A Distributed Framework for Early Trending Topics Detection on Big Social Networks Data Threads
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    Chapter 21 Multi-task Deep Neural Networks for Automated Extraction of Primary Site and Laterality Information from Cancer Pathology Reports
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    Chapter 22 A Graph-Based Big Data Model for Wireless Multimedia Sensor Networks
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    Chapter 23 CCM: Controlling the Change Magnitude in High Dimensional Data
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    Chapter 24 Spark Parameter Tuning via Trial-and-Error
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    Chapter 25 Parallel Computing TEDA for High Frequency Streaming Data Clustering
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    Chapter 26 A Big Data Intelligent Search Assistant Based on the Random Neural Network
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    Chapter 27 RandomFIS: A Fuzzy Classification System for Big Datasets
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    Chapter 28 Big Data for a Linked Open Economy
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    Chapter 29 Smart Data Integration by Goal Driven Ontology Learning
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    Chapter 30 An Infrastructure and Approach for Inferring Knowledge Over Big Data in the Vehicle Insurance Industry
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    Chapter 31 Defining and Identifying Stophashtags in Instagram
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    Chapter 32 Big Data and the Virtuous Circle of Railway Digitization
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    Chapter 33 Unified Retrieval Model of Big Data
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    Chapter 34 Adaptive Elitist Differential Evolution Extreme Learning Machines on Big Data: Intelligent Recognition of Invasive Species
Overall attention for this book and its chapters
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Mentioned by

11 news outlets
4 tweeters
1 Google+ user
1 video uploader


5 Dimensions

Readers on

43 Mendeley
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Advances in Big Data
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-47898-2
978-3-31-947897-5, 978-3-31-947898-2

Plamen Angelov, Yannis Manolopoulos, Lazaros Iliadis, Asim Roy, Marley Vellasco

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 2%
Student > Master 1 2%
Unknown 41 95%
Readers by discipline Count As %
Physics and Astronomy 1 2%
Engineering 1 2%
Unknown 41 95%