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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
  22. Altmetric Badge
    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
  27. Altmetric Badge
    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
  31. Altmetric Badge
    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
  34. Altmetric Badge
    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 23: A reliability-based approach for influence maximization using the evidence theory
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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7 X users
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2 Facebook pages

Readers on

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14 Mendeley
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Chapter title
A reliability-based approach for influence maximization using the evidence theory
Chapter number 23
Book title
Big Data Analytics and Knowledge Discovery
Published in
arXiv, June 2017
DOI 10.1007/978-3-319-64283-3_23
Book ISBNs
978-3-31-964282-6, 978-3-31-964283-3
Authors

Siwar Jendoubi, Arnaud Martin, Jendoubi, Siwar, Martin, Arnaud

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 21%
Unspecified 1 7%
Professor 1 7%
Student > Ph. D. Student 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 6 43%
Readers by discipline Count As %
Business, Management and Accounting 2 14%
Social Sciences 2 14%
Environmental Science 1 7%
Arts and Humanities 1 7%
Computer Science 1 7%
Other 1 7%
Unknown 6 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 July 2017.
All research outputs
#13,044,767
of 22,985,065 outputs
Outputs from arXiv
#196,476
of 943,182 outputs
Outputs of similar age
#150,064
of 314,551 outputs
Outputs of similar age from arXiv
#4,329
of 18,943 outputs
Altmetric has tracked 22,985,065 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 943,182 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 314,551 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 18,943 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.