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Model and Data Engineering

Overview of attention for book
Cover of 'Model and Data Engineering'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Modeling and Simulation of Hadoop Distributed File System in a Cluster of Workstations
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    Chapter 2 Analysis of Twitter Data Using a Multiple-level Clustering Strategy
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    Chapter 3 Persistent Meta-Modeling Systems as Heterogeneous Model Repositories
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    Chapter 4 OLAP*: Effectively and Efficiently Supporting Parallel OLAP over Big Data
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    Chapter 5 Centrality Indices for Web Search Engine Results Understanding
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    Chapter 6 Generation of Reliable Randomness via Social Phenomena
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    Chapter 7 Model and Data Engineering
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    Chapter 8 A Preliminary Survey on Innovation Process Management Systems
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    Chapter 9 A Stakeholder-Centric Optimization Strategy for Architectural Documentation
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    Chapter 10 Hints from the Crowd : A Novel NoSQL Database
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    Chapter 11 Retracted: Towards a Formal Approach for Verifying Temporal Coherence in a SMIL Document Presentation
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    Chapter 12 Analyzing Massive Streaming Heterogeneous Data: Towards a New Computing Model for Computational Sustainability
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    Chapter 13 Toward Expressing a Preliminary Core Identity Significantly Characterized from the Social Network Temporal Dynamicity
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    Chapter 14 Clustering Heterogeneous Data Streams with Uncertainty over Sliding Window
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    Chapter 15 Schema Extraction and Integration of Heterogeneous XML Document Collections
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    Chapter 16 Structural Entities of an Ontology-Driven Unifying Metamodel for UML, EER, and ORM2
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    Chapter 17 The Foundational Ontology Library ROMULUS
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    Chapter 18 Transforming Formal Specification Constructs into Diagrammatic Notations
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    Chapter 19 A Markov Chain Based Model to Predict HIV/AIDS Epidemiological Trends
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    Chapter 20 Pattern-Based ETL Conceptual Modelling
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    Chapter 21 Towards OntoUML for Software Engineering: From Domain Ontology to Implementation Model
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    Chapter 22 Model Engineering as a Social Activity: The Case of Business Processes
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    Chapter 23 A Transformation-Driven Approach to Automate Feedback Verification Results
  25. Altmetric Badge
    Chapter 24 Allegories for Database Modeling
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    Chapter 25 Erratum: Towards a Formal Approach for Verifying Temporal Coherence in a SMIL Document Presentation
Attention for Chapter 4: OLAP*: Effectively and Efficiently Supporting Parallel OLAP over Big Data
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Chapter title
OLAP*: Effectively and Efficiently Supporting Parallel OLAP over Big Data
Chapter number 4
Book title
Model and Data Engineering
Published in
Lecture notes in computer science, September 2013
DOI 10.1007/978-3-642-41366-7_4
Book ISBNs
978-3-64-241365-0, 978-3-64-241366-7
Authors

Cuzzocrea, Alfredo, Moussa, Rim, Xu, Guandong, Alfredo Cuzzocrea, Rim Moussa, Guandong Xu

Editors

Alfredo Cuzzocrea, Sofian Maabout

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 33%
Researcher 2 22%
Student > Doctoral Student 1 11%
Lecturer > Senior Lecturer 1 11%
Other 1 11%
Other 1 11%
Readers by discipline Count As %
Computer Science 7 78%
Social Sciences 1 11%
Engineering 1 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 September 2014.
All research outputs
#20,237,640
of 22,764,165 outputs
Outputs from Lecture notes in computer science
#6,982
of 8,125 outputs
Outputs of similar age
#177,860
of 203,319 outputs
Outputs of similar age from Lecture notes in computer science
#144
of 153 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,125 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 203,319 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 153 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

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