| Document Type
|
:
|
BL
|
| Record Number
|
:
|
889102
|
| Main Entry
|
:
|
International Conference on Big Data and Cloud Computing(1st :2017 :, Coimbatore, India)
|
| Title & Author
|
:
|
Advances in big data and cloud computing /\ Elijah Blessing Rajsingh, Jey Veerasamy, Amir H. Alavi, J. Dinesh Peter, editors.
|
| Publication Statement
|
:
|
Singapore :: Springer,, [2018]
|
|
|
:
|
, ©2018
|
| Series Statement
|
:
|
Advances in intelligent systems and computing,; volume 645
|
| Page. NO
|
:
|
1 online resource (x, 413 pages : illustrations (some color))
|
| ISBN
|
:
|
9789811072000
|
|
|
:
|
: 9811072000
|
|
|
:
|
9789811071997
|
|
|
:
|
9811071993
|
| 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
|
|
|
:
|
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
|
|
|
:
|
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
|
|
|
:
|
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
|
| Abstract
|
:
|
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.
|
| Subject
|
:
|
Big data, Congresses.
|
| Subject
|
:
|
Cloud computing, Congresses.
|
| Subject
|
:
|
Big data.
|
| Subject
|
:
|
Cloud computing.
|
| Subject
|
:
|
COMPUTERS-- Computer Literacy.
|
| Subject
|
:
|
COMPUTERS-- Computer Science.
|
| Subject
|
:
|
COMPUTERS-- Data Processing.
|
| Subject
|
:
|
COMPUTERS-- Hardware-- General.
|
| Subject
|
:
|
COMPUTERS-- Information Technology.
|
| Subject
|
:
|
COMPUTERS-- Machine Theory.
|
| Subject
|
:
|
COMPUTERS-- Reference.
|
| Dewey Classification
|
:
|
004.67/82
|
| LC Classification
|
:
|
QA76.585.A37 2017eb
|
| Added Entry
|
:
|
Alavi, Amir H.
|
|
|
:
|
Peter, J. Dinesh
|
|
|
:
|
Rajsingh, Elijah Blessing
|
|
|
:
|
Veerasamy, Jey
|