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Advances in Data Mining. Applications and Theoretical Aspects

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Cover of 'Advances in Data Mining. Applications and Theoretical Aspects'

Table of Contents

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    Book Overview
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    Chapter 1 Risk Factors and Identifiers for Alzheimer’s Disease: A Data Mining Analysis
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    Chapter 2 Unsupervised Named Entity Recognition and Disambiguation: An Application to Old French Journals
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    Chapter 3 Multiple Template Detection Based on Segments
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    Chapter 4 Analysis and Evaluation of Web Pages Classification Techniques for Inappropriate Content Blocking
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    Chapter 5 Extending PubMed Related Article (PMRA) for Multiple Citations
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    Chapter 6 Variability of Behaviour in Electricity Load Profile Clustering; Who Does Things at the Same Time Each Day?
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    Chapter 7 Hybrid Recommender System for Prediction of the Yelp Users Preferences
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    Chapter 8 Analysis Using Popularity Awareness Index, Recency Index and Purchase Diversity in Group Buying
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    Chapter 9 Choice Modelling and Forecasting Demand for Alternative-Fuel Tractors
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    Chapter 10 Data Mining Cultural Aspects of Social Media Marketing
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    Chapter 11 A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation
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    Chapter 12 Visual Trajectory Pattern Mining: An Exploratory Study in Baggage Handling Systems
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    Chapter 13 Analysis of Trajectory Data in Support of Traffic Management: A Data Mining Approach
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    Chapter 14 Detecting the Transition Stage of Cells and Cell Parts by Prototype-Based Classification
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    Chapter 15 Discovering Main Vertexical Planes in a Multivariate Data Space by Using CPL Functions
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    Chapter 16 Big Data Analytics: A Literature Review Paper
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Mentioned by

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2 policy sources
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5 X users
wikipedia
1 Wikipedia page

Citations

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Title
Advances in Data Mining. Applications and Theoretical Aspects
Published by
Springer, Cham, January 2014
DOI 10.1007/978-3-319-08976-8
ISBNs
978-3-31-908975-1, 978-3-31-908976-8
Editors

Petra Perner

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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 21%
Student > Bachelor 7 15%
Student > Postgraduate 7 15%
Student > Ph. D. Student 4 8%
Other 2 4%
Other 3 6%
Unknown 15 31%
Readers by discipline Count As %
Computer Science 18 38%
Engineering 4 8%
Business, Management and Accounting 3 6%
Agricultural and Biological Sciences 2 4%
Nursing and Health Professions 1 2%
Other 4 8%
Unknown 16 33%