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Information Management and Big Data

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Cover of 'Information Management and Big Data'

Table of Contents

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    Book Overview
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    Chapter 1 Clinical, Consumer Health, and Visual Question Answering
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    Chapter 2 Which Is the Tallest Building in Europe? Representing and Reasoning About Knowledge
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    Chapter 3 Data-Driven Requirements Engineering. The SUPERSEDE Way
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    Chapter 4 Word Embeddings and Deep Learning for Spanish Twitter Sentiment Analysis
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    Chapter 5 Twitter Event Detection in a City
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    Chapter 6 ANEW for Spanish Twitter Sentiment Analysis Using Instance-Based Multi-label Learning Algorithms
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    Chapter 7 An Operational Deep Learning Pipeline for Classifying Life Events from Individual Tweets
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    Chapter 8 Using Behavior and Text Analysis to Detect Propagandists and Misinformers on Twitter
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    Chapter 9 Analyzing the Retweeting Behavior of Influencers to Predict Popular Tweets, with and Without Considering their Content
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    Chapter 10 Link Prediction in Co-authorship Networks Using Scopus Data
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    Chapter 11 Aerial Scene Classification and Information Retrieval via Fast Kernel Based Fuzzy C-Means Clustering
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    Chapter 12 A Case Study of Library Data Management: A New Method to Analyze Borrowing Behavior
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    Chapter 13 Sparkmach: A Distributed Data Processing System Based on Automated Machine Learning for Big Data
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    Chapter 14 Deep Dive into Authorship Verification of Email Messages with Convolutional Neural Network
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    Chapter 15 Monitoring of Air Quality with Low-Cost Electrochemical Sensors and the Use of Artificial Neural Networks for the Atmospheric Pollutants Concentration Levels Prediction
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    Chapter 16 Data Mining Algorithms for Risk Detection in Bank Loans
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    Chapter 17 DETECTOR: Automatic Detection System for Terrorist Attack Trajectories
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    Chapter 18 Car Monitoring System in Apartments’ Garages by Small Autonomous Car Using Deep Learning
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    Chapter 19 A Framework for Analytical Approaches to Combine Interpretable Models
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    Chapter 20 Processing Quechua and Guarani Historical Texts Query Expansion at Character and Word Level for Information Retrieval
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    Chapter 21 Topic Modeling Applied to Business Research: A Latent Dirichlet Allocation (LDA)-Based Classification for Organization Studies
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    Chapter 22 Using Neural Network for Identifying Clickbaits in Online News Media
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    Chapter 23 Spanish Named Entity Recognition in the Biomedical Domain
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    Chapter 24 Ontology Modeling of the Estonian Traffic Act for Self-driving Buses
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    Chapter 25 Thought Off-line Sanitization Methods for Bank Transactions
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    Chapter 26 Big Data for Development: An Approach as a State Government Capacity in the Countries
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    Chapter 27 Towards Real-Time Automatic Stress Detection for Office Workplaces
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    Chapter 28 SoTesTeR: Software Testing Techniques’ Recommender System Using a Collaborative Approach
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    Chapter 29 Crowdsourcing High-Quality Structured Data
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    Chapter 30 Ethical and Socially-Aware Data Labels
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    Chapter 31 Shadow Removal in High-Resolution Satellite Images Using Conditional Generative Adversarial Networks
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    Chapter 32 A Mixed Model Based on Shape Context and Spark for Sketch Based Image Retrieval
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    Chapter 33 Continuous Detection of Abnormal Heartbeats from ECG Using Online Outlier Detection
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    Chapter 34 Do Public and Government Think Similar About Indian Cleanliness Campaign?
Attention for Chapter 30: Ethical and Socially-Aware Data Labels
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Chapter title
Ethical and Socially-Aware Data Labels
Chapter number 30
Book title
Information Management and Big Data
Published by
Springer, Cham, February 2019
DOI 10.1007/978-3-030-11680-4_30
Book ISBNs
978-3-03-011679-8, 978-3-03-011680-4

Elena Beretta, Antonio Vetrò, Bruno Lepri, Juan Carlos De Martin

Twitter Demographics

The data shown below were collected from the profiles of 8 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Student > Doctoral Student 1 14%
Other 1 14%
Professor 1 14%
Student > Ph. D. Student 1 14%
Other 1 14%
Readers by discipline Count As %
Computer Science 5 71%
Decision Sciences 1 14%
Social Sciences 1 14%