عنوان

Applications of data management and analysis: case studies in social networks and beyond

(Number (ISBN

9783319958095

(Number (ISBN

978-3-319-95810-1 (eBook)

Number

3917

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

Applications of data management and analysis: case studies in social networks and beyond

General Material Designation

[electronic resources]

First Statement of Responsibility

/ edited by Mohammad Moshirpour, Behrouz H. Far, Reda Alhajj.

Place of Publication, Distribution, etc.

Cham, Switzerland

Name of Publisher, Distributor, etc.

: Springer

Date of Publication, Distribution, etc.

, 2018.

Specific Material Designation and Extent of Item

viii, 217 pages.

Other Physical Details

: illustrations (chiefly color), tables.

Series Title

Lecture notes in social networks.

Text of Note

Includes bibliographical references and index.

Text of Note

Intro; Preface; Contents; Predicting Implicit Negative Relations in Online Social Networks; Introduction; Related Work; Methodology; Dataset Description; Formulation in R; Loading the Data; Transforming the Data by Loading Features; Splitting the Data into Training and Testing Data; Fitting a Logistic Regression Model Using Training Data; Using the Fitted Model to Do Predictions for the Test Data; Results and Discussion; Future Work; Conclusion; References; Automobile Insurance Fraud Detection Using Social Network Analysis; Introduction; Literature Review; Research Methodology. Evaluation with the Prototype SystemSummary and Conclusion; References; Improving Circular Layout Algorithm for Social Network Visualization Using Genetic Algorithm; Introduction; Initial Circular Layout; Improvement; Genetic Algorithm; Edge Crossing Detection; Results; Conclusion; References; Live Twitter Sentiment Analysis; Introduction; Related Work; Method; Data Ingestion; Data Preparation and Analysis; Corpus Building (Bootstrapping); Model Building; The Hashtag Problem; Testing, Tuning and Security; Future Work and Observations; Results; Conclusion; References. Artificial Neural Network Modeling and Forecasting of Oil Reservoir PerformanceAbbreviations; Introduction; Modeling of Big Data Based on Artificial and Computational Intelligence; Application of ACI to Petroleum Engineering; Workflow and Design of Proxy Modeling; Neural Network Interpolation Algorithms; Radial Basis Function Networks (RBF); Multilayer Neural Network Algorithm: Levenberg-Marquardt Optimization; Big Data Assembly and Base Cases; Applied Ranges for Model Parameter Space; Results and Discussion; Conclusions; References; A Sliding-Window Algorithm Implementation in MapReduce. IntroductionBackground; Sliding-Window Algorithm; Results and Discussion; Sliding-Window Algorithm Implementation for Moving Average Computation in MapReduce Framework; Comparison to Related Works; Conclusion, Limitations, and Future Work; Appendix A: Java Class for Record Sharing-Mapper Class; Appendix B : Java Class for Record Sharing-Reducer Class; Appendix C: Java Class for Record Sharing-Driver Class; References; A Fuzzy Dynamic Model for Customer Churn Prediction in Retail Banking Industry; Introduction; Literature Review; High-Value Customer Determination; Fuzzy Inference System. Time SeriesMethodology; High-Value Customer Determination; LRFM in the Banking Industry; Weighted-RFM Model; LRFM Model-Based Clustering Using K-Mean; The Degree of Customer Churn Determination; Churn Rate Prediction; ARIMA; Artificial Neural Network; Evaluating Prediction Model Results; Results; LRFM Model-Based Clustering Using K-Mean; The Degree of Customer Churn Determination; Churn Rate Prediction; ARIMA; Artificial Neural Network; Conclusion; References; Temporal Dependency Between Evolution of Features and Dynamic Social Networks; Introduction; Related Works; Methodology.

0

Text of Note

This book addresses and examines the impacts of applications and services for data management and analysis, such as infrastructure, platforms, software, and business processes, on both academia and industry. The chapters cover effective approaches in dealing with the inherent complexity and increasing demands of big data management from an applications perspective. Various case studies included have been reported by data analysis experts who work closely with their clients in such fields as education, banking, and telecommunications. Understanding how data management has been adapted to these applications will help students, instructors and professionals in the field. Application areas also include the fields of social network analysis, bioinformatics, and the oil and gas industries.

Entry Element

Database management.

Entry Element

Data protection.

Entry Element

Data mining.

Subject Term

Data mining.

Subject Term

Database management.

Subject Term

Data protection.

Relator Code

Editor

Relator Code

Editor

Relator Code

Editor

Moshirpour, Mohammad,

Far, Behrouz H.,

Alhajj, Reda,

Country

ایران

Agency

Central Library of the Kurdistan University

Date of Transaction

20190917102352.0

Cataloguing Rules (Descriptive Conventions))

rda

e

BL

280328

a

Y