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5th International Symposium on Data Mining Applications

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Cover of '5th International Symposium on Data Mining Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Use of Machine Learning for Rate Adaptation in MPEG-DASH for Quality of Experience Improvement
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    Chapter 2 Analysis of Traffic Accident in Riyadh Using Clustering Algorithms
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    Chapter 3 Support of Existing Chatbot Development Framework for Arabic Language: A Brief Survey
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    Chapter 4 The Generative Power of Arabic Morphology and Implications: A Case for Pattern Orientation in Arabic Corpus Annotation and a Proposed Pattern Ontology
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    Chapter 5 A Benchmark Collection for Mapping Program Educational Objectives to ABET Student Outcomes: Accreditation
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    Chapter 6 Bug Reports Evolution in Open Source Systems
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    Chapter 7 Analysis of Call Detail Records for Understanding Users Behavior and Anomaly Detection Using Neo4j
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    Chapter 8 Empirical Analysis of Static Code Metrics for Predicting Risk Scores in Android Applications
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    Chapter 9 Toward Stream Analysis of Software Debugging Data
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    Chapter 10 Evaluating the Influence of Twitter on the Saudi Arabian Stock Market Indicators
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    Chapter 11 Comparative Analysis of Danger Theory Variants in Measuring Risk Level for Text Spam Messages
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    Chapter 12 Analyzing User Behaviors: A Study of Tips in Foursquare
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    Chapter 13 Classification of Customer Tweets Using Big Data Analytics
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    Chapter 14 Evolution of Hashtags on Twitter: A Case Study from Events Groups
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    Chapter 15 Investments in Deep Learning Techniques for Improving the Biometric System Accuracy
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    Chapter 16 New Feature Extraction Approach Based on Adaptive Fuzzy Systems for Reliable Biometric Identification
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    Chapter 17 An Efficient PHSW-DC Algorithm for Solving Motif Finding Problem in TP53 Cancer Gene
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    Chapter 18 The Effect of Vitamin B12 Deficiency on Blood Count Using Data Mining
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Title
5th International Symposium on Data Mining Applications
Published by
Springer International Publishing, March 2018
DOI 10.1007/978-3-319-78753-4
ISBNs
978-3-31-978752-7, 978-3-31-978753-4
Editors

Alenezi, Mamdouh, Qureshi, Basit

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 11%
Researcher 1 5%
Student > Master 1 5%
Unknown 15 79%
Readers by discipline Count As %
Computer Science 2 11%
Engineering 1 5%
Unknown 16 84%