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Social Data Analytics

Social Data Analytics Book
Author : Amin Beheshti,Samira Ghodratnama,Mehdi Elahi,Helia Farhood
Publisher : CRC Press
Release : 2022-08-01
ISBN : 100064460X
Language : En, Es, Fr & De

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Book Description :

This book is an introduction to social data analytics along with its challenges and opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on concepts, techniques and methods for organizing, curating, processing, analyzing, and visualizing big social data: from text to image and video analytics. It provides novel techniques in storytelling with social data to facilitate the knowledge and fact discovery. The book covers a large body of knowledge that will help practitioners and researchers in understanding the underlying concepts, problems, methods, tools and techniques involved in modern social data analytics. It also provides real-world applications of social data analytics, including: Sales and Marketing, Influence Maximization, Situational Awareness, customer success and Segmentation, and performance analysis of the industry. It provides a deep knowledge in social data analytics by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in data science to graduate courses in data analytics.

Social Data Analytics

Social Data Analytics Book
Author : Krish Krishnan,Shawn P. Rogers
Publisher : Newnes
Release : 2014-11-10
ISBN : 0123977800
Language : En, Es, Fr & De

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Book Description :

Social Data Analytics is the first practical guide for professionals who want to employ social data for analytics and business intelligence (BI). This book provides a comprehensive overview of the technologies and platforms and shows you how to access and analyze the data. You'll explore the five major types of social data and learn from cases and platform examples to help you make the most of sentiment, behavioral, social graph, location, and rich media data. A four-step approach to the social BI process will help you access, evaluate, collaborate, and share social data with ease. You'll learn everything you need to know to monitor social media and get an overview of the leading vendors in a crowded space of BI applications. By the end of this book, you will be well prepared for your organization’s next social data analytics project. Provides foundational understanding of new and emerging technologies—social data, collaboration, big data, advanced analytics Includes case studies and practical examples of success and failures Will prepare you to lead projects and advance initiatives that will benefit you and your organization

Social Big Data Analytics

Social Big Data Analytics Book
Author : Bilal Abu-Salih,Pornpit Wongthongtham,Dengya Zhu,Kit Yan Chan,Amit Rudra
Publisher : Springer Nature
Release : 2021-03-10
ISBN : 9813366524
Language : En, Es, Fr & De

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Book 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.

Cognitive Social Mining Applications in Data Analytics and Forensics

Cognitive Social Mining Applications in Data Analytics and Forensics Book
Author : Haldorai, Anandakumar,Ramu, Arulmurugan
Publisher : IGI Global
Release : 2018-12-14
ISBN : 1522575235
Language : En, Es, Fr & De

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Book Description :

Recently, there has been a rapid increase in interest regarding social network analysis in the data mining community. Cognitive radios are expected to play a major role in meeting this exploding traffic demand on social networks due to their ability to sense the environment, analyze outdoor parameters, and then make decisions for dynamic time, frequency, space, resource allocation, and management to improve the utilization of mining the social data. Cognitive Social Mining Applications in Data Analytics and Forensics is an essential reference source that reviews cognitive radio concepts and examines their applications to social mining using a machine learning approach so that an adaptive and intelligent mining is achieved. Featuring research on topics such as data mining, real-time ubiquitous social mining services, and cognitive computing, this book is ideally designed for social network analysts, researchers, academicians, and industry professionals.

Empowering Human Dynamics Research with Social Media and Geospatial Data Analytics

Empowering Human Dynamics Research with Social Media and Geospatial Data Analytics Book
Author : Atsushi Nara,Ming-Hsiang Tsou
Publisher : Springer Nature
Release : 2021-09-20
ISBN : 3030830101
Language : En, Es, Fr & De

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Book Description :

This book discusses theoretical backgrounds, techniques and methodologies, and applications of the current state-of-the-art human dynamics research utilizing social media and geospatial big data. It describes various forms of social media and big data with location information, theory development, data collection and management techniques, and analytical methodologies to conduct human dynamics research including geographic information systems (GIS), spatiotemporal data analytics, text mining and semantic analysis, machine learning, trajectory data analysis, and geovisualization. The book also covers applied interdisciplinary research examples ranging from disaster management, public health, urban geography, and spatiotemporal information diffusion. By providing theoretical foundations, solid empirical research backgrounds, techniques, and methodologies as well as application examples from diverse interdisciplinary fields, this book will be a valuable resource to students, researchers and practitioners who utilize or plan to employ social media and big data in their work.

Big Data Analytics for Sustainable Computing

Big Data Analytics for Sustainable Computing Book
Author : Haldorai, Anandakumar,Ramu, Arulmurugan
Publisher : IGI Global
Release : 2019-09-20
ISBN : 1522597522
Language : En, Es, Fr & De

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Book Description :

Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.

Harnessing the Power of Social Media and Web Analytics

Harnessing the Power of Social Media and Web Analytics Book
Author : Ayanso, Anteneh
Publisher : IGI Global
Release : 2014-02-28
ISBN : 1466651954
Language : En, Es, Fr & De

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Book Description :

Social media has opened several new marketing channels to assist in business visibility as well as provide real-time customer feedback. With the emergence of new internet technologies, businesses are increasingly recognizing the value of social media and web presence in the promotion of their products and services. Harnessing the Power of Social Media and Web Analytics documents high-quality research to empower businesses to derive intelligence from social media sites. These emerging technological tools have allowed businesses to quantify, understand, and respond to customers’ conversations about their corporate reputation and brands within online communities. This publication is ideal for academic and professional audiences interested in applications and practices of social media and web analytics in various industries.

High Performance Big Data Analytics

High Performance Big Data Analytics Book
Author : Pethuru Raj,Anupama Raman,Dhivya Nagaraj,Siddhartha Duggirala
Publisher : Springer
Release : 2015-10-16
ISBN : 331920744X
Language : En, Es, Fr & De

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Book Description :

This book presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics. Features: includes case studies and learning activities throughout the book and self-study exercises in every chapter; presents detailed case studies on social media analytics for intelligent businesses and on big data analytics (BDA) in the healthcare sector; describes the network infrastructure requirements for effective transfer of big data, and the storage infrastructure requirements of applications which generate big data; examines real-time analytics solutions; introduces in-database processing and in-memory analytics techniques for data mining; discusses the use of mainframes for handling real-time big data and the latest types of data management systems for BDA; provides information on the use of cluster, grid and cloud computing systems for BDA; reviews the peer-to-peer techniques and tools and the common information visualization techniques, used in BDA.

Big Data Analytics

Big Data Analytics Book
Author : Anonim
Publisher : Elsevier
Release : 2015-08-04
ISBN : 0444634975
Language : En, Es, Fr & De

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Book Description :

While the term Big Data is open to varying interpretation, it is quite clear that the Volume, Velocity, and Variety (3Vs) of data have impacted every aspect of computational science and its applications. The volume of data is increasing at a phenomenal rate and a majority of it is unstructured. With big data, the volume is so large that processing it using traditional database and software techniques is difficult, if not impossible. The drivers are the ubiquitous sensors, devices, social networks and the all-pervasive web. Scientists are increasingly looking to derive insights from the massive quantity of data to create new knowledge. In common usage, Big Data has come to refer simply to the use of predictive analytics or other certain advanced methods to extract value from data, without any required magnitude thereon. Challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and information privacy. While there are challenges, there are huge opportunities emerging in the fields of Machine Learning, Data Mining, Statistics, Human-Computer Interfaces and Distributed Systems to address ways to analyze and reason with this data. The edited volume focuses on the challenges and opportunities posed by "Big Data" in a variety of domains and how statistical techniques and innovative algorithms can help glean insights and accelerate discovery. Big data has the potential to help companies improve operations and make faster, more intelligent decisions. Review of big data research challenges from diverse areas of scientific endeavor Rich perspective on a range of data science issues from leading researchers Insight into the mathematical and statistical theory underlying the computational methods used to address big data analytics problems in a variety of domains

Data Analytics and Management

Data Analytics and Management Book
Author : Ashish Khanna,Deepak Gupta,Zdzisław Pólkowski,Siddhartha Bhattacharyya,Oscar Castillo
Publisher : Springer Nature
Release : 2021-01-04
ISBN : 9811583358
Language : En, Es, Fr & De

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Book Description :

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2020), held at Jan Wyzykowski University, Poland, during June 2020. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.

Data Analytics Applications in Gaming and Entertainment

Data Analytics Applications in Gaming and Entertainment Book
Author : Günter Wallner
Publisher : CRC Press
Release : 2019-07-11
ISBN : 1000001865
Language : En, Es, Fr & De

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Book Description :

The last decade has witnessed the rise of big data in game development as the increasing proliferation of Internet-enabled gaming devices has made it easier than ever before to collect large amounts of player-related data. At the same time, the emergence of new business models and the diversification of the player base have exposed a broader potential audience, which attaches great importance to being able to tailor game experiences to a wide range of preferences and skill levels. This, in turn, has led to a growing interest in data mining techniques, as they offer new opportunities for deriving actionable insights to inform game design, to ensure customer satisfaction, to maximize revenues, and to drive technical innovation. By now, data mining and analytics have become vital components of game development. The amount of work being done in this area nowadays makes this an ideal time to put together a book on this subject. Data Analytics Applications in Gaming and Entertainment seeks to provide a cross section of current data analytics applications in game production. It is intended as a companion for practitioners, academic researchers, and students seeking knowledge on the latest practices in game data mining. The chapters have been chosen in such a way as to cover a wide range of topics and to provide readers with a glimpse at the variety of applications of data mining in gaming. A total of 25 authors from industry and academia have contributed 12 chapters covering topics such as player profiling, approaches for analyzing player communities and their social structures, matchmaking, churn prediction and customer lifetime value estimation, communication of analytical results, and visual approaches to game analytics. This book’s perspectives and concepts will spark heightened interest in game analytics and foment innovative ideas that will advance the exciting field of online gaming and entertainment.

Big Data Analytics and Knowledge Discovery

Big Data Analytics and Knowledge Discovery Book
Author : Ladjel Bellatreche,Sharma Chakravarthy
Publisher : Springer
Release : 2017-08-11
ISBN : 3319642839
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the 19th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2017, held in Lyon, France, in August 2017. The 24 revised full papers and 11 short papers presented were carefully reviewed and selected from 97 submissions. The papers are organized in the following topical sections: new generation data warehouses design; cloud and NoSQL databases; advanced programming paradigms; non-functional requirements satisfaction; machine learning; social media and twitter analysis; sentiment analysis and user influence; knowledge discovery; and data flow management and optimization.

ITNG 2021 18th International Conference on Information Technology New Generations

ITNG 2021 18th International Conference on Information Technology New Generations Book
Author : Shahram Latifi
Publisher : Springer Nature
Release : 2021-06-04
ISBN : 3030704165
Language : En, Es, Fr & De

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Book Description :

This volume represents the 18th International Conference on Information Technology - New Generations (ITNG), 2021. ITNG is an annual event focusing on state of the art technologies pertaining to digital information and communications. The applications of advanced information technology to such domains as astronomy, biology, education, geosciences, security, and health care are the among topics of relevance to ITNG. Visionary ideas, theoretical and experimental results, as well as prototypes, designs, and tools that help the information readily flow to the user are of special interest. Machine Learning, Robotics, High Performance Computing, and Innovative Methods of Computing are examples of related topics. The conference features keynote speakers, a best student award, poster award, service award, a technical open panel, and workshops/exhibits from industry, government and academia. This publication is unique as it captures modern trends in IT with a balance of theoretical and experimental work. Most other work focus either on theoretical or experimental, but not both. Accordingly, we do not know of any competitive literature.

Security Privacy and Data Analytics

Security  Privacy and Data Analytics Book
Author : Udai Pratap Rao
Publisher : Springer Nature
Release : 2022-05-28
ISBN : 9811690898
Language : En, Es, Fr & De

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Book Description :

Download Security Privacy and Data Analytics book written by Udai Pratap Rao, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Decision Support Systems V Big Data Analytics for Decision Making

Decision Support Systems V     Big Data Analytics for Decision Making Book
Author : Boris Delibašić,Jorge E. Hernández,Jason Papathanasiou,Fátima Dargam,Pascale Zaraté,Rita Ribeiro,Shaofeng Liu,Isabelle Linden
Publisher : Springer
Release : 2015-05-18
ISBN : 3319185330
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the First International Conference on Decision Support Systems Technology, ICDSST 2015, held in Belgrade, Serbia, in May 2015. The theme of the event was “Big Data Analytics for Decision-Making” and it was organized by the EURO (Association of European Operational Research Societies) working group of Decision Support Systems (EWG-DSS). The eight papers presented in this book were selected out of 26 submissions after being carefully reviewed by at least three internationally known experts from the ICDSST 2015 Program Committee and external invited reviewers. The selected papers are representative of current and relevant research activities in the area of decision support systems, such as decision analysis for enterprise systems and non-hierarchical networks, integrated solutions for decision support and knowledge management in distributed environments, decision support system evaluations and analysis through social networks, and decision support system applications in real-world environments. The volume is completed by an additional invited paper on big data decision-making use cases.

Machine Learning and Big Data Analytics Paradigms Analysis Applications and Challenges

Machine Learning and Big Data Analytics Paradigms  Analysis  Applications and Challenges Book
Author : Aboul Ella Hassanien,Ashraf Darwish
Publisher : Springer Nature
Release : 2020-12-14
ISBN : 303059338X
Language : En, Es, Fr & De

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Book Description :

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.

ECSM 2017 4th European Conference on Social Media

ECSM 2017 4th European Conference on Social Media Book
Author : Academic Conferences and Publishing Limited
Publisher : Academic Conferences and publishing limited
Release : 2017-07-03
ISBN : 1911218476
Language : En, Es, Fr & De

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Book Description :

Download ECSM 2017 4th European Conference on Social Media book written by Academic Conferences and Publishing Limited, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Creating Value with Big Data Analytics

Creating Value with Big Data Analytics Book
Author : Peter C. Verhoef,Edwin Kooge,Natasha Walk
Publisher : Routledge
Release : 2016-01-08
ISBN : 1317561929
Language : En, Es, Fr & De

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Book Description :

Our newly digital world is generating an almost unimaginable amount of data about all of us. Such a vast amount of data is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organisations to leverage the information to create value. This book is a refreshingly practical, yet theoretically sound roadmap to leveraging big data and analytics. Creating Value with Big Data Analytics provides a nuanced view of big data development, arguing that big data in itself is not a revolution but an evolution of the increasing availability of data that has been observed in recent times. Building on the authors’ extensive academic and practical knowledge, this book aims to provide managers and analysts with strategic directions and practical analytical solutions on how to create value from existing and new big data. By tying data and analytics to specific goals and processes for implementation, this is a much-needed book that will be essential reading for students and specialists of data analytics, marketing research, and customer relationship management.

Advancing the Impact of Design Science Moving from Theory to Practice

Advancing the Impact of Design Science  Moving from Theory to Practice Book
Author : Monica Chiarini Tremblay,Debra VanderMeer,Marcus Rothenberger,Ashish Gupta,Victoria Yoon
Publisher : Springer
Release : 2014-05-08
ISBN : 331906701X
Language : En, Es, Fr & De

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Book Description :

This book constitutes the thoroughly refereed proceedings of the 9th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2014, held in Miami, FL, USA in May 2014. The 19 full papers, 7 research-in-progress papers and 18 short papers describing prototype demonstrations were carefully reviewed and selected from 71 submissions. The papers are organized in topical sections on design science; emerging themes; meta issues; methods; supporting business processes; team support; work-in-progress papers and prototypes.

Social Media Marketing

Social Media Marketing Book
Author : Tracy L. Tuten
Publisher : SAGE
Release : 2020-11-18
ISBN : 1529738016
Language : En, Es, Fr & De

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Book Description :

**Winner of the TAA 2017 Textbook Excellence Award** "Social Media Marketing deserves special kudos for its courage in tackling the new frontier of social media marketing. This textbook challenges its readers to grapple with the daunting task of understanding rapidly evolving social media and its users." TAA Judges Panel The market leading and award winning text on social media marketing has been fully updated for this fourth edition. With a balance of essential theory and practical application, the text has been been thoroughly revised to reflect the latest developments in social media marketing research and practice. 11 new case studies have been added to the ′Case Zone′, including TikTok, LEGO, Nespresso and Puma. A student-engaging case study now runs throughout the entire textbook looking at the US based company Kombucha 221 BC to help develop understanding of each chapter. The book is complemented by a companion website that offers valuable additional resources for both instructors and students, including author videos discussing key social media marketing ideas and concepts, author-selected YouTube video playlists, additional case studies, further weblinks, PowerPoint slides and Testbank. A must-have text for those studying social media marketing.