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Big Data Analytics and Knowledge Discovery

Overview of attention for book
Cover of 'Big Data Analytics and Knowledge Discovery'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Evaluation of Data Warehouse Design Methodologies in the Context of Big Data
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    Chapter 2 Optimal Task Ordering in Chain Data Flows: Exploring the Practicality of Non-scalable Solutions
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    Chapter 3 Exploiting Mathematical Structures of Statistical Measures for Comparison of RDF Data Cubes
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    Chapter 4 S 2 D : Shared Distributed Datasets, Storing Shared Data for Multiple and Massive Queries Optimization in a Distributed Data Warehouse
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    Chapter 5 Enforcing Privacy in Cloud Databases
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    Chapter 6 TARDIS: Optimal Execution of Scientific Workflows in Apache Spark
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    Chapter 7 MDA-Based Approach for NoSQL Databases Modelling
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    Chapter 8 MiSeRe-Hadoop: A Large-Scale Robust Sequential Classification Rules Mining Framework
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    Chapter 9 An Efficient Map-Reduce Framework to Mine Periodic Frequent Patterns
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    Chapter 10 MapReduce-Based Complex Big Data Analytics over Uncertain and Imprecise Social Networks
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    Chapter 11 A Case for Abstract Cost Models for Distributed Execution of Analytics Operators
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    Chapter 12 Pre-processing and Indexing Techniques for Constellation Queries in Big Data
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    Chapter 13 A Lightweight Elastic Queue Middleware for Distributed Streaming Pipeline
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    Chapter 14 Modeling Data Flow Execution in a Parallel Environment
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    Chapter 15 Accelerating K-Means by Grouping Points Automatically
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    Chapter 16 A Machine Learning Trainable Model to Assess the Accuracy of Probabilistic Record Linkage
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    Chapter 17 An Efficient Approach for Instance Selection
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    Chapter 18 Search Result Personalization in Twitter Using Neural Word Embeddings
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    Chapter 19 Diverse Selection of Feature Subsets for Ensemble Regression
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    Chapter 20 K-Means Clustering Using Homomorphic Encryption and an Updatable Distance Matrix: Secure Third Party Data Clustering with Limited Data Owner Interaction
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    Chapter 21 Reweighting Forest for Extreme Multi-label Classification
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    Chapter 22 A Relativistic Opinion Mining Approach to Detect Factual or Opinionated News Sources
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    Chapter 23 A reliability-based approach for influence maximization using the evidence theory
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    Chapter 24 Sentiment Analysis on Twitter to Improve Time Series Contextual Anomaly Detection for Detecting Stock Market Manipulation
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    Chapter 25 Automatic Segmentation of Big Data of Patent Texts
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    Chapter 26 Tag Me a Label with Multi-arm: Active Learning for Telugu Sentiment Analysis
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    Chapter 27 Belief Temporal Analysis of Expert Users: Case Study Stack Overflow
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    Chapter 28 Leveraging Hierarchy and Community Structure for Determining Influencers in Networks
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    Chapter 29 Using Social Media for Word-of-Mouth Marketing
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    Chapter 30 Knowledge Discovery of Complex Data Using Gaussian Mixture Models
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    Chapter 31 Optimized Mining of Potential Positive and Negative Association Rules
  33. Altmetric Badge
    Chapter 32 Extracting Non-redundant Correlated Purchase Behaviors by Utility Measure
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    Chapter 33 Detecting Feature Interactions in Agricultural Trade Data Using a Deep Neural Network
  35. Altmetric Badge
    Chapter 34 Air Quality Monitoring System and Benchmarking
  36. Altmetric Badge
    Chapter 35 Electric Vehicle Charging Station Deployment for Minimizing Construction Cost
Attention for Chapter 16: A Machine Learning Trainable Model to Assess the Accuracy of Probabilistic Record Linkage
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Chapter title
A Machine Learning Trainable Model to Assess the Accuracy of Probabilistic Record Linkage
Chapter number 16
Book title
Big Data Analytics and Knowledge Discovery
Published by
Springer, Cham, August 2017
DOI 10.1007/978-3-319-64283-3_16
Book ISBNs
978-3-31-964282-6, 978-3-31-964283-3
Authors

Robespierre Pita, Everton Mendonça, Sandra Reis, Marcos Barreto, Spiros Denaxas, Pita, R, Mendonca, E, Reis, S, Barreto, M, Denaxas, S, Pita, Robespierre, Mendonça, Everton, Reis, Sandra, Barreto, Marcos, Denaxas, Spiros

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X Demographics

The data shown below were collected from the profile of 1 X user 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 17%
Student > Ph. D. Student 4 17%
Student > Master 3 13%
Student > Bachelor 3 13%
Lecturer 2 9%
Other 2 9%
Unknown 5 22%
Readers by discipline Count As %
Computer Science 13 57%
Physics and Astronomy 1 4%
Medicine and Dentistry 1 4%
Engineering 1 4%
Unknown 7 30%

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