Coverart for item
The Resource Advances in big data and cloud computing, Elijah Blessing Rajsingh, Jey Veerasamy, Amir H. Alavi, J. Dinesh Peter, editors

Advances in big data and cloud computing, Elijah Blessing Rajsingh, Jey Veerasamy, Amir H. Alavi, J. Dinesh Peter, editors

Label
Advances in big data and cloud computing
Title
Advances in big data and cloud computing
Statement of responsibility
Elijah Blessing Rajsingh, Jey Veerasamy, Amir H. Alavi, J. Dinesh Peter, editors
Contributor
Editor
Subject
Genre
Language
eng
Summary
This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. It includes recent advances in the areas of big data analytics, cloud computing, the Internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. Primarily focusing on the application of knowledge that promotes ideas for solving the problems of the society through cutting-edge technologies, it provides novel ideas that further world-class research and development. This concise compilation of articles approved by a panel of expert reviewers is an invaluable resource for researchers in the area of advanced engineering sciences
Member of
Cataloging source
GW5XE
Dewey number
004.67/82
Index
no index present
LC call number
QA76.585
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Rajsingh, Elijah Blessing
  • Veerasamy, Jey
  • Alavi, Amir H.
  • Peter, J. Dinesh
Series statement
Advances in intelligent systems and computing,
Series volume
volume 645
http://library.link/vocab/subjectName
  • Cloud computing
  • Big data
Label
Advances in big data and cloud computing, Elijah Blessing Rajsingh, Jey Veerasamy, Amir H. Alavi, J. Dinesh Peter, editors
Instantiates
Publication
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Intro; Contents; About the Editors; 1 An Ontology-Based Approach for Automatic Cloud Service Monitoring and Management; Abstract; 1 Introduction; 2 Preliminary Concepts; 2.1 Cloud Service Life Cycle; 2.2 SLA; 2.3 Ontology; 2.4 QoS Model; 3 Related Work; 4 Automatic Cloud Service Monitoring and Management; 4.1 Automatic Cloud Service Monitoring and Management Framework; 4.2 Ontology Model; 4.3 Automatic Cloud Service Monitoring and Management Approach; 5 Experimental Setup and Results; 5.1 Experimental Setup; 5.1.1 CloudSim Configuration; 5.2 Experimental Results
  • 5.3 Comparative Study with Exiting Approaches6 Conclusion and Future Work; References; 2 Incorporating Collaborative Tagging in Social Recommender Systems; Abstract; 1 Introduction; 2 Related Work; 2.1 Tag-Based Recommender Systems; 2.2 Social Recommender Systems; 3 The Recommendation Framework; 3.1 The Clustering; 3.2 Social Regularization; 3.3 Individual Preference; 3.4 Model Training; 4 Experimental Results; 4.1 Metrics; 4.2 Comparisons; 5 Conclusion and Future Work; References; 3 Twitter Sentimental Analysis on Fan Engagement; Abstract; 1 Introduction
  • 1.1 Introduction to Sentimental Analysis1.2 Introduction to Sklearn; 2 Literature Survey; 3 Methodology; 3.1 Data Description; 3.2 System Workflow; 3.3 Text Mining and Preprocessing; 3.4 Feature Selection; 3.5 Sentiment Polarity; 4 Training; 5 Sentiment Classification; 5.1 Naïve Bayes Classifier; 5.2 Multinomial Naïve Bayes Classifier; 5.3 Support Vector Machine; 5.4 Linear Support Vector Machine; 5.5 Decision Tree Classifier; 6 Classification Evaluation; 7 Experimental Results; 8 Conclusion; References
  • 4 A Hybrid Semantic Algorithm for Web Image Retrieval Incorporating Ontology Classification and User-Driven Query ExpansionAbstract; 1 Introduction; 2 Related Work; 3 Proposed System Architecture; 4 Implementation; 5 Results and Performance Evaluation; 6 Conclusions; References; 5 Attribute Selection Based on Correlation Analysis; Abstract; 1 Introduction; 2 Literature Review; 3 Proposed Method; 3.1 Problem of Multi-collinearity and Its Application to Feature Selection; 3.2 ASCA Algorithm; 3.2.1 Example; 4 Results and Discussion; 4.1 Dataset Description; 5 Conclusion; References
  • 6 Taxi Travel Time Prediction Using Ensemble-Based Random Forest and Gradient Boosting ModelAbstract; 1 Introduction; 2 Related Work; 3 Proposed Methodology; 3.1 Dataset Description; 3.2 Pre-processing-Feature Selection; 3.3 Supervised Learning; 3.4 Decision Tree; 3.5 Gradient Tree Boosting; 4 Results and Discussion; 4.1 Variation in Parameters; 4.2 Data Inference; 4.3 Performance Evaluation; 5 Conclusion; References; Virtual Machine Migration-A Perspective Study; 1 Introduction; 2 Virtual Machine Migration; 2.1 Metrics Used for VM Migration
Extent
1 online resource (X, 413 pages.)
Form of item
online
Isbn
9789811072000
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-981-10-7200-0
System control number
  • on1030962731
  • (OCoLC)1030962731
Label
Advances in big data and cloud computing, Elijah Blessing Rajsingh, Jey Veerasamy, Amir H. Alavi, J. Dinesh Peter, editors
Publication
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Intro; Contents; About the Editors; 1 An Ontology-Based Approach for Automatic Cloud Service Monitoring and Management; Abstract; 1 Introduction; 2 Preliminary Concepts; 2.1 Cloud Service Life Cycle; 2.2 SLA; 2.3 Ontology; 2.4 QoS Model; 3 Related Work; 4 Automatic Cloud Service Monitoring and Management; 4.1 Automatic Cloud Service Monitoring and Management Framework; 4.2 Ontology Model; 4.3 Automatic Cloud Service Monitoring and Management Approach; 5 Experimental Setup and Results; 5.1 Experimental Setup; 5.1.1 CloudSim Configuration; 5.2 Experimental Results
  • 5.3 Comparative Study with Exiting Approaches6 Conclusion and Future Work; References; 2 Incorporating Collaborative Tagging in Social Recommender Systems; Abstract; 1 Introduction; 2 Related Work; 2.1 Tag-Based Recommender Systems; 2.2 Social Recommender Systems; 3 The Recommendation Framework; 3.1 The Clustering; 3.2 Social Regularization; 3.3 Individual Preference; 3.4 Model Training; 4 Experimental Results; 4.1 Metrics; 4.2 Comparisons; 5 Conclusion and Future Work; References; 3 Twitter Sentimental Analysis on Fan Engagement; Abstract; 1 Introduction
  • 1.1 Introduction to Sentimental Analysis1.2 Introduction to Sklearn; 2 Literature Survey; 3 Methodology; 3.1 Data Description; 3.2 System Workflow; 3.3 Text Mining and Preprocessing; 3.4 Feature Selection; 3.5 Sentiment Polarity; 4 Training; 5 Sentiment Classification; 5.1 Naïve Bayes Classifier; 5.2 Multinomial Naïve Bayes Classifier; 5.3 Support Vector Machine; 5.4 Linear Support Vector Machine; 5.5 Decision Tree Classifier; 6 Classification Evaluation; 7 Experimental Results; 8 Conclusion; References
  • 4 A Hybrid Semantic Algorithm for Web Image Retrieval Incorporating Ontology Classification and User-Driven Query ExpansionAbstract; 1 Introduction; 2 Related Work; 3 Proposed System Architecture; 4 Implementation; 5 Results and Performance Evaluation; 6 Conclusions; References; 5 Attribute Selection Based on Correlation Analysis; Abstract; 1 Introduction; 2 Literature Review; 3 Proposed Method; 3.1 Problem of Multi-collinearity and Its Application to Feature Selection; 3.2 ASCA Algorithm; 3.2.1 Example; 4 Results and Discussion; 4.1 Dataset Description; 5 Conclusion; References
  • 6 Taxi Travel Time Prediction Using Ensemble-Based Random Forest and Gradient Boosting ModelAbstract; 1 Introduction; 2 Related Work; 3 Proposed Methodology; 3.1 Dataset Description; 3.2 Pre-processing-Feature Selection; 3.3 Supervised Learning; 3.4 Decision Tree; 3.5 Gradient Tree Boosting; 4 Results and Discussion; 4.1 Variation in Parameters; 4.2 Data Inference; 4.3 Performance Evaluation; 5 Conclusion; References; Virtual Machine Migration-A Perspective Study; 1 Introduction; 2 Virtual Machine Migration; 2.1 Metrics Used for VM Migration
Extent
1 online resource (X, 413 pages.)
Form of item
online
Isbn
9789811072000
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-981-10-7200-0
System control number
  • on1030962731
  • (OCoLC)1030962731

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