Social Big Data Analytics: Practices, Techniques, and Applications - Image 1

£92.00

Springer Social Big Data Analytics: Practices, Techniques, and Applications

Name: Social Big Data Analytics: Practices, Techniques, and Applications
Brand: Springer
Price: 92.0 GBP
Availability: InStock

E-commerce

Price History & Forecast

Last 32 days • 32 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 32 days • 1 price levels

Days at Price

Price Analysis

Most common price: £92 (32 days, 100.0%)

Price range: £92 - £92

Price levels: 1 different prices over 32 days

Description

This book focuses on data and how modern business firms use social data, specifically Online Social Networks (OSNs) incorporated as part of the infrastructure for a number of emerging applications such as personalized recommendation systems, opinion analysis, expertise retrieval, and computational advertising. This book identifies how in such applications, social data offers a plethora of benefits to enhance the decision making process. This book highlights that business intelligence applications are more focused on structured data; however, in order to understand and analyse the social big data, there is a need to aggregate data from various sources and to present it in a plausible format. Big Social Data (BSD) exhibit all the typical properties of big data: wide physical distribution, diversity of formats, non-standard data models, independently-managed and heterogeneous semantics but even further valuable with marketing opportunities. The book provides a review of the current state-of-the-art approaches for big social data analytics as well as to present dissimilar methods to infer value from social data. The book further examines several areas of research that benefits from the propagation of the social data. In particular, the book presents various technical approaches that produce data analytics capable of handling big data features and effective in filtering out unsolicited data and inferring a value. These approaches comprise advanced technical solutions able to capture huge amounts of generated data, scrutinise the collected data to eliminate unwanted data, measure the quality of the inferred data, and transform the amended data for further data analysis. Furthermore, the book presents solutions to derive knowledge and sentiments from BSD and to provide social data classification and prediction. The approaches in this book also incorporate several technologies such as semantic discovery, sentiment analysis, affective computing and machine learning. This book has additional special feature enriched with numerous illustrations such as tables, graphs and charts incorporating advanced visualisation tools in accessible an attractive display.

Product Specifications

Brand: Springer
Format: Hardcover
ASIN: 9813366516
Category: Books > Subjects > Business, Finance & Law > E-Commerce > E-commerce
Domain: Amazon UK
Release Date: 11 March 2021
Listed Since: 10 December 2020

Barcode

No barcode data available

Springer Social Big Data Analytics: Practices, Techniques, and Applications

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Big Data Analytics: Systems, Algorithms, Applications

Advances in Big Data Analytics: Theory, Algorithms and Practices

A Closer Look at Big Data Analytics (Computer Science, Technology and Applications)

Social Network Data Analytics

Social Network Data Analytics

Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing (Springer Tracts in Nature-Inspired Computing)

Business and Consumer Analytics: New Ideas

Data Mining Approaches for Big Data and Sentiment Analysis in Social Media

Adaptive Resonance Theory in Social Media Data Clustering: Roles, Methodologies, and Applications (Advanced Information and Knowledge Processing)

Data Mining Approaches for Big Data and Sentiment Analysis in Social Media (Advances in Data Mining and Database Management)

High-Performance Big-Data Analytics: Computing Systems and Approaches (Computer Communications and Networks)

Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation (Lecture Notes in Social Networks)

Social Media Analysis for Event Detection (Lecture Notes in Social Networks)

Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing (Springer Tracts in Nature-Inspired Computing)

Soft Computing in Big Data Processing: 271 (Advances in Intelligent Systems and Computing, 271)

Springer Big Data Analysis: New Algorithms for a New Society

Big Data Analysis: New Algorithms for a New Society: 16 (Studies in Big Data, 16)

Big Data Analytics: A Management Perspective: 21 (Studies in Big Data, 21)

Social Network Analytics: Computational Research Methods and Techniques

Advances in Data Science: Methodologies and Applications: 189 (Intelligent Systems Reference Library, 189)

Multimodal Analytics for Next-Generation Big Data Technologies and Applications

Machine Learning and Big Data: Concepts, Algorithms, Tools and Applications

Big Data and Smart Digital Environment: 53 (Studies in Big Data, 53)

Data Science and Big Data: An Environment of Computational Intelligence: 24 (Studies in Big Data, 24)