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Big Data Computing and Communications

Overview of attention for book
Cover of 'Big Data Computing and Communications'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 A Novel Markov Chain Model to Derive the Expected Contention Window Size and Backoff Counter for IEEE 802.11 WLAN Nodes
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    Chapter 2 RTDA: A Novel Reusable Truthful Double Auction Mechanism for Wireless Spectrum Management
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    Chapter 3 Dynamic Sparse Channel Estimation Using $$\ell _0$$ -constrained Kalman Filter in OFDM Systems
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    Chapter 4 FOAM: Frequency-Offset Aware Multiple Client Selection for Cooperative Packet Recovery System
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    Chapter 5 Research on Light-Weight Compression Schemes Based on Simulative Column-Store
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    Chapter 6 Study of Constructing Data Supply Chain Based on PROV
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    Chapter 7 Focused Deep Web Entrance Crawling by Form Feature Classification
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    Chapter 8 A Framework for Optimization in Big Data: Privacy-Preserving Multi-agent Greedy Algorithm
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    Chapter 9 Networking Big Data: Definition, Key Technologies and Challenging Issues of Transmission
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    Chapter 10 Gender Prediction Based on Data Streams of Smartphone Applications
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    Chapter 11 Anti-multipath Indoor Direction Finding Using Acoustic Signal via Smartphones
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    Chapter 12 Crowdsourcing Based Event Reporting System Using Smartphones with Accurate Localization and Photo Tamper Detection
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    Chapter 13 Parallel Accurate Localization from Cellular Network
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    Chapter 14 A Vehicle Speed Estimation Algorithm Based on Wireless AMR Sensors
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    Chapter 15 Design and Evaluation of a Policy-Based Security Routing and Switching System for Data Interception Attacks
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    Chapter 16 Wireless Device Authentication Using Acoustic Hardware Fingerprints
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    Chapter 17 Strongly Secure and Cost-Effective Certificateless Proxy Re-encryption Scheme for Data Sharing in Cloud Computing
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    Chapter 18 Anomaly Detection of Single Sensors Using OCSVM_KNN
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    Chapter 19 An Efficient Method on Trajectory Privacy Preservation
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    Chapter 20 R-Memcached: A Reliable In-Memory Cache System for Big Key-Value Stores
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    Chapter 21 Performance Evaluation of NPB and SPEC CPU2006 on Various SIMD Extensions
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    Chapter 22 Big Data Computing and Communications
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    Chapter 23 A Graph Community Approach for Constructing microRNA Networks
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    Chapter 24 Distributed Multigrid Technique for Seismic Tomography in Sensor Networks
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    Chapter 25 Energy-Efficient and Smoothing-Sensitive Curve Recovery of Sensing Physical World
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    Chapter 26 Feedback-Based Reduplicate Complex Event Processing in IoT
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    Chapter 27 An Identification Algorithm in Grouping and Paralleling for Data-Intensive RFID Systems
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    Chapter 28 I Know When to Do the Replenishment
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    Chapter 29 Tag-Based User Interest Discovery Though Keywords Extraction in Social Network
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    Chapter 30 Implicit Feedback Mining for Recommendation
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    Chapter 31 The Collaborative Filtering Algorithm with Time Weight Based on MapReduce
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    Chapter 32 Recommendation Specially for Fanatic Fans in SNS
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    Chapter 33 In-Line Monitoring of Belt Transport with Adaptive Bandwidth Mean-Shift Hazard
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    Chapter 34 A Method for Automated J Wave Detection and Characterisation Based on Feature Extraction
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    Chapter 35 Metadata Organization and Retrieval with Attribute Tree for Large-Scale Traffic Surveillance Videos
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    Chapter 36 Development and Challenges of Crowdsourcing Quality of Experience Evaluation for Multimedia
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    Chapter 37 An Approach for J Wave Auto-Detection Based on Support Vector Machine
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    Chapter 38 Green and Fault-Tolerant Routing in Data Centers
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    Chapter 39 A Markov Chain Prediction Model for Routing in Delay Tolerant Networks
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    Chapter 40 RAM: Resource Allocation in Mobility for Device-to-Device Communications
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    Chapter 41 Group Signature Based Trace Hiding in Web Query
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 (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
5 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Big Data Computing and Communications
Published by
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-22047-5
ISBNs
978-3-31-922046-8, 978-3-31-922047-5
Authors

Yu Wang, Hui Xiong, Shlomo Argamon, XiangYang Li, JianZhong Li

Editors

Wang, Yu, Xiong, Hui, Argamon, Shlomo, Li, XiangYang, Li, JianZhong

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 6%
Student > Master 1 3%
Unknown 29 91%
Readers by discipline Count As %
Computer Science 3 9%
Unknown 29 91%
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 18 March 2024.
All research outputs
#6,371,162
of 24,224,854 outputs
Outputs from Lecture notes in computer science
#1,946
of 8,180 outputs
Outputs of similar age
#81,794
of 361,442 outputs
Outputs of similar age from Lecture notes in computer science
#85
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 73rd 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 done well, scoring higher than 75% 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 done well, scoring higher than 76% 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 66% of its contemporaries.