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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 Determining Query Readiness for Structured Data
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    Chapter 2 Efficient Cluster Detection by Ordered Neighborhoods
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    Chapter 3 Unsupervised Semantic and Syntactic Based Classification of Scientific Citations
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    Chapter 4 HI-Tree: Mining High Influence Patterns Using External and Internal Utility Values
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    Chapter 5 Balancing Tree Size and Accuracy in Fast Mining of Uncertain Frequent Patterns
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    Chapter 6 Secure Outsourced Frequent Pattern Mining by Fully Homomorphic Encryption
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    Chapter 7 Supervised Evaluation of Top-k Itemset Mining Algorithms
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    Chapter 8 Finding Banded Patterns in Data: The Banded Pattern Mining Algorithm
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    Chapter 9 Discrimination-Aware Association Rule Mining for Unbiased Data Analytics
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    Chapter 10 Big Data Analytics of Social Networks for the Discovery of “Following” Patterns
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    Chapter 11 Sentiment Extraction from Tweets: Multilingual Challenges
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    Chapter 12 TiDE: Template-Independent Discourse Data Extraction
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    Chapter 13 A New Relevance Measure for Heterogeneous Networks
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    Chapter 14 UFOMQ: An Algorithm for Querying for Similar Individuals in Heterogeneous Ontologies
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    Chapter 15 Semantics-Based Multidimensional Query Over Sparse Data Marts
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    Chapter 16 Automatically Tailoring Semantics-Enabled Dimensions for Movement Data Warehouses
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    Chapter 17 Real-Time Snapshot Maintenance with Incremental ETL Pipelines in Data Warehouses
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    Chapter 18 Eco-Processing of OLAP Complex Queries
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    Chapter 19 Materializing Baseline Views for Deviation Detection Exploratory OLAP
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    Chapter 20 Binary Shapelet Transform for Multiclass Time Series Classification
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    Chapter 21 StreamXM: An Adaptive Partitional Clustering Solution for Evolving Data Streams
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    Chapter 22 Data Stream Mining with Limited Validation Opportunity: Towards Instrument Failure Prediction
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    Chapter 23 Distributed Classification of Data Streams: An Adaptive Technique
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    Chapter 24 New Word Detection and Tagging on Chinese Twitter Stream
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    Chapter 25 Text Categorization for Deriving the Application Quality in Enterprises Using Ticketing Systems
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    Chapter 26 MultiSpot: Spotting Sentiments with Semantic Aware Multilevel Cascaded Analysis
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    Chapter 27 Online Urban Mobility Detection Based on Velocity Features
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    Chapter 28 Partition and Conquer: Map/Reduce Way of Substructure Discovery
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    Chapter 29 Implementation of Multidimensional Databases with Document-Oriented NoSQL
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    Chapter 30 A Graph-Based Concept Discovery Method for n-Ary Relations
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    Chapter 31 Exact Detection of Information Leakage in Database Access Control
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
8 X users

Readers on

mendeley
41 Mendeley
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Title
Big Data Analytics and Knowledge Discovery
Published by
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-22729-0
ISBNs
978-3-31-922728-3, 978-3-31-922729-0
Editors

Sanjay Madria, Takahiro Hara

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 2%
Student > Postgraduate 1 2%
Student > Doctoral Student 1 2%
Student > Master 1 2%
Unknown 37 90%
Readers by discipline Count As %
Computer Science 3 7%
Engineering 1 2%
Unknown 37 90%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 21 August 2016.
All research outputs
#6,892,415
of 24,224,854 outputs
Outputs from Lecture notes in computer science
#2,117
of 8,180 outputs
Outputs of similar age
#90,450
of 361,442 outputs
Outputs of similar age from Lecture notes in computer science
#95
of 258 outputs
Altmetric has tracked 24,224,854 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 8,180 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 74% 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 361,442 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 74% of its contemporaries.
We're also able to compare this research output to 258 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.