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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 Mining Recent High-Utility Patterns from Temporal Databases with Time-Sensitive Constraint
  3. Altmetric Badge
    Chapter 2 Big Data Analytics and Knowledge Discovery
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    Chapter 3 A Rough Connectedness Algorithm for Mining Communities in Complex Networks
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    Chapter 4 Mining User Trajectories from Smartphone Data Considering Data Uncertainty
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    Chapter 5 A Heterogeneous Clustering Approach for Human Activity Recognition
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    Chapter 6 SentiLDA — An Effective and Scalable Approach to Mine Opinions of Consumer Reviews by Utilizing Both Structured and Unstructured Data
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    Chapter 7 Mining Data Streams with Dynamic Confidence Intervals
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    Chapter 8 Evaluating Top-K Approximate Patterns via Text Clustering
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    Chapter 9 A Heuristic Approach for On-line Discovery of Unidentified Spatial Clusters from Grid-Based Streaming Algorithms
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    Chapter 10 An Exhaustive Covering Approach to Parameter-Free Mining of Non-redundant Discriminative Itemsets
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    Chapter 11 A Maximum Dimension Partitioning Approach for Efficiently Finding All Similar Pairs
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    Chapter 12 Power of Bosom Friends, POI Recommendation by Learning Preference of Close Friends and Similar Users
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    Chapter 13 Online Anomaly Energy Consumption Detection Using Lambda Architecture
  15. Altmetric Badge
    Chapter 14 Large Scale Indexing and Searching Deep Convolutional Neural Network Features
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    Chapter 15 A Web Search Enhanced Feature Extraction Method for Aspect-Based Sentiment Analysis for Turkish Informal Texts
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    Chapter 16 Keyboard Usage Authentication Using Time Series Analysis
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    Chapter 17 A G-Means Update Ensemble Learning Approach for the Imbalanced Data Stream with Concept Drifts
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    Chapter 18 A Framework of the Semi-supervised Multi-label Classification with Non-uniformly Distributed Incomplete Labels
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    Chapter 19 XSX: Lightweight Encryption for Data Warehousing Environments
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    Chapter 20 Rule-Based Multidimensional Data Quality Assessment Using Contexts
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    Chapter 21 Plan Before You Execute: A Cost-Based Query Optimizer for Attributed Graph Databases
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    Chapter 22 Ontology-Based Trajectory Data Warehouse Conceptual Model
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    Chapter 23 Discovery, Enrichment and Disambiguation of Acronyms
  25. Altmetric Badge
    Chapter 24 A Value-Added Approach to Design BI Applications
  26. Altmetric Badge
    Chapter 25 Towards Semantification of Big Data Technology
Attention for Chapter 2: Big Data Analytics and Knowledge Discovery
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
2 Mendeley
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Chapter title
Big Data Analytics and Knowledge Discovery
Chapter number 2
Book title
Big Data Analytics and Knowledge Discovery
Published in
Lecture notes in computer science, September 2016
DOI 10.1007/978-3-319-43946-4_2
Book ISBNs
978-3-31-943945-7, 978-3-31-943946-4
Authors

Martin Kirchgessner, Vincent Leroy, Alexandre Termier, Sihem Amer-Yahia, Marie-Christine Rousset, Kirchgessner, Martin, Leroy, Vincent, Termier, Alexandre, Amer-Yahia, Sihem, Rousset, Marie-Christine

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 50%
Lecturer 1 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 19 August 2016.
All research outputs
#4,191,804
of 22,883,326 outputs
Outputs from Lecture notes in computer science
#989
of 8,128 outputs
Outputs of similar age
#71,451
of 335,724 outputs
Outputs of similar age from Lecture notes in computer science
#52
of 476 outputs
Altmetric has tracked 22,883,326 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,128 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 82% 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 335,724 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 476 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.