Mobile Big Data

Mobile Big Data Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Mobile Big Data book. This book definitely worth reading, it is an incredibly well-written.

Mobile Big Data

Xiang Cheng,Luoyang Fang,Liuqing Yang,Shuguang Cui
Mobile Big Data Book PDF

Author : Xiang Cheng,Luoyang Fang,Liuqing Yang,Shuguang Cui
Publisher : Springer
Page : 125 pages
File Size : 40,5 Mb
Release : 2018-08-23
Category : Computers
ISBN : 9783319961163

Get Book

Mobile Big Data by Xiang Cheng,Luoyang Fang,Liuqing Yang,Shuguang Cui Pdf

This book provides a comprehensive picture of mobile big data starting from data sources to mobile data driven applications. Mobile Big Data comprises two main components: an overview of mobile big data, and the case studies based on real-world data recently collected by one of the largest mobile network carriers in China. In the first component, four areas of mobile big data life cycle are surveyed: data source and collection, transmission, computing platform and applications. In the second component, two case studies are provided, based on the signaling data collected in the cellular core network in terms of subscriber privacy evaluation and demand forecasting for network management. These cases respectively give a vivid demonstration of what mobile big data looks like, and how it can be analyzed and mined to generate useful and meaningful information and knowledge. This book targets researchers, practitioners and professors relevant to this field. Advanced-level students studying computer science and electrical engineering will also be interested in this book as supplemental reading.

Mobile Big Data

Georgios Skourletopoulos,George Mastorakis,Constandinos X. Mavromoustakis,Ciprian Dobre,Evangelos Pallis
Mobile Big Data Book PDF

Author : Georgios Skourletopoulos,George Mastorakis,Constandinos X. Mavromoustakis,Ciprian Dobre,Evangelos Pallis
Publisher : Springer
Page : 347 pages
File Size : 54,6 Mb
Release : 2017-10-31
Category : Technology & Engineering
ISBN : 9783319679259

Get Book

Mobile Big Data by Georgios Skourletopoulos,George Mastorakis,Constandinos X. Mavromoustakis,Ciprian Dobre,Evangelos Pallis Pdf

This book reports on the latest advances in mobile technologies for collecting, storing and processing mobile big data in connection with wireless communications. It presents novel approaches and applications in which mobile big data is being applied from an engineering standpoint and addresses future theoretical and practical challenges related to the big data field from a mobility perspective. Further, it provides an overview of new methodologies designed to take mobile big data to the Cloud, enable the processing of real-time streaming events on-the-move and enhance the integration of resource availability through the ‘Anywhere, Anything, Anytime’ paradigm. By providing both academia and industry researchers and professionals with a timely snapshot of emerging mobile big data-centric systems and highlighting related pitfalls, as well as potential solutions, the book fills an important gap in the literature and fosters the further development in the area of mobile technologies for exploiting mobile big data.

Right-Time Experiences

Maribel Lopez
Right Time Experiences Book PDF

Author : Maribel Lopez
Publisher : John Wiley & Sons
Page : 320 pages
File Size : 55,9 Mb
Release : 2014-10-06
Category : Business & Economics
ISBN : 9781118847350

Get Book

Right-Time Experiences by Maribel Lopez Pdf

"This book illustrates how businesses can use mobility, big data, and analytics to enhance or change business processes, improve margins through better insight, transform customer experiences, and empower employees with real-time, actionable insights. The author depicts how companies can create competitive differentiation using mobile, cloud computing big data, and analytics to improve commerce, customer service, and communications with employees and consumers"--

Advances in Mobile Cloud Computing and Big Data in the 5G Era

Constandinos X. Mavromoustakis,George Mastorakis,Ciprian Dobre
Advances in Mobile Cloud Computing and Big Data in the 5G Era Book PDF

Author : Constandinos X. Mavromoustakis,George Mastorakis,Ciprian Dobre
Publisher : Springer
Page : 382 pages
File Size : 52,8 Mb
Release : 2016-11-19
Category : Technology & Engineering
ISBN : 9783319451459

Get Book

Advances in Mobile Cloud Computing and Big Data in the 5G Era by Constandinos X. Mavromoustakis,George Mastorakis,Ciprian Dobre Pdf

This book reports on the latest advances on the theories, practices, standards and strategies that are related to the modern technology paradigms, the Mobile Cloud computing (MCC) and Big Data, as the pillars and their association with the emerging 5G mobile networks. The book includes 15 rigorously refereed chapters written by leading international researchers, providing the readers with technical and scientific information about various aspects of Big Data and Mobile Cloud Computing, from basic concepts to advanced findings, reporting the state-of-the-art on Big Data management. It demonstrates and discusses methods and practices to improve multi-source Big Data manipulation techniques, as well as the integration of resources availability through the 3As (Anywhere, Anything, Anytime) paradigm, using the 5G access technologies.

Software Engineering in IoT, Big Data, Cloud and Mobile Computing

Haengkon Kim,Roger Lee
Software Engineering in IoT Big Data Cloud and Mobile Computing Book PDF

Author : Haengkon Kim,Roger Lee
Publisher : Springer Nature
Page : 225 pages
File Size : 55,6 Mb
Release : 2020-12-26
Category : Computers
ISBN : 9783030647735

Get Book

Software Engineering in IoT, Big Data, Cloud and Mobile Computing by Haengkon Kim,Roger Lee Pdf

This edited book presents scientific results of the International Semi-Virtual Workshop on Software Engineering in IoT, Big data, Cloud and Mobile Computing (SE-ICBM 2020) which was held on October 15, 2020, at Soongsil University, Seoul, Korea. The aim of this workshop was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The workshop organizers selected the best papers from those papers accepted for presentation at the workshop. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 17 of the conference’s most promising papers are then published in this Springer (SCI) book and not the conference proceedings. We impatiently await the important contributions that we know these authors will bring to the field of computer and information science.

Applications of Big Data Analytics

Mohammed M. Alani,Hissam Tawfik,Mohammed Saeed,Obinna Anya
Applications of Big Data Analytics Book PDF

Author : Mohammed M. Alani,Hissam Tawfik,Mohammed Saeed,Obinna Anya
Publisher : Springer
Page : 214 pages
File Size : 44,6 Mb
Release : 2018-07-23
Category : Computers
ISBN : 9783319764726

Get Book

Applications of Big Data Analytics by Mohammed M. Alani,Hissam Tawfik,Mohammed Saeed,Obinna Anya Pdf

This timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. An authoritative selection of leading international researchers present detailed analyses of existing trends for storing and analyzing big data, together with valuable insights into the challenges inherent in current approaches and systems. This is further supported by real-world examples drawn from a broad range of application areas, including healthcare, education, and disaster management. The text also covers, typically from an application-oriented perspective, advances in data science in such areas as big data collection, searching, analysis, and knowledge discovery. Topics and features: Discusses a model for data traffic aggregation in 5G cellular networks, and a novel scheme for resource allocation in 5G networks with network slicing Explores methods that use big data in the assessment of flood risks, and apply neural networks techniques to monitor the safety of nuclear power plants Describes a system which leverages big data analytics and the Internet of Things in the application of drones to aid victims in disaster scenarios Proposes a novel deep learning-based health data analytics application for sleep apnea detection, and a novel pathway for diagnostic models of headache disorders Reviews techniques for educational data mining and learning analytics, and introduces a scalable MapReduce graph partitioning approach for high degree vertices Presents a multivariate and dynamic data representation model for the visualization of healthcare data, and big data analytics methods for software reliability assessment This practically-focused volume is an invaluable resource for all researchers, academics, data scientists and business professionals involved in the planning, designing, and implementation of big data analytics projects. Dr. Mohammed M. Alani is an Associate Professor in Computer Engineering and currently is the Provost at Al Khawarizmi International College, Abu Dhabi, UAE. Dr. Hissam Tawfik is a Professor of Computer Science in the School of Computing, Creative Technologies & Engineering at Leeds Beckett University, UK. Dr. Mohammed Saeed is a Professor in Computing and currently is the Vice President for Academic Affairs and Research at the University of Modern Sciences, Dubai, UAE. Dr. Obinna Anya is a Research Staff Member at IBM Research – Almaden, San Jose, CA, USA.

High-Performance Modelling and Simulation for Big Data Applications

Joanna Kołodziej,Horacio González-Vélez
High Performance Modelling and Simulation for Big Data Applications Book PDF

Author : Joanna Kołodziej,Horacio González-Vélez
Publisher : Springer
Page : 364 pages
File Size : 44,7 Mb
Release : 2019-03-25
Category : Computers
ISBN : 9783030162726

Get Book

High-Performance Modelling and Simulation for Big Data Applications by Joanna Kołodziej,Horacio González-Vélez Pdf

This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications.

Pocket Data Mining

Mohamed Medhat Gaber,Frederic Stahl,João Bártolo Gomes
Pocket Data Mining Book PDF

Author : Mohamed Medhat Gaber,Frederic Stahl,João Bártolo Gomes
Publisher : Springer Science & Business Media
Page : 108 pages
File Size : 45,8 Mb
Release : 2013-10-19
Category : Technology & Engineering
ISBN : 9783319027111

Get Book

Pocket Data Mining by Mohamed Medhat Gaber,Frederic Stahl,João Bártolo Gomes Pdf

Owing to continuous advances in the computational power of handheld devices like smartphones and tablet computers, it has become possible to perform Big Data operations including modern data mining processes onboard these small devices. A decade of research has proved the feasibility of what has been termed as Mobile Data Mining, with a focus on one mobile device running data mining processes. However, it is not before 2010 until the authors of this book initiated the Pocket Data Mining (PDM) project exploiting the seamless communication among handheld devices performing data analysis tasks that were infeasible until recently. PDM is the process of collaboratively extracting knowledge from distributed data streams in a mobile computing environment. This book provides the reader with an in-depth treatment on this emerging area of research. Details of techniques used and thorough experimental studies are given. More importantly and exclusive to this book, the authors provide detailed practical guide on the deployment of PDM in the mobile environment. An important extension to the basic implementation of PDM dealing with concept drift is also reported. In the era of Big Data, potential applications of paramount importance offered by PDM in a variety of domains including security, business and telemedicine are discussed.

Big Data Analytics for Sensor-Network Collected Intelligence

Hui-Huang Hsu,Chuan-Yu Chang,Ching-Hsien Hsu
Big Data Analytics for Sensor Network Collected Intelligence Book PDF

Author : Hui-Huang Hsu,Chuan-Yu Chang,Ching-Hsien Hsu
Publisher : Morgan Kaufmann
Page : 326 pages
File Size : 51,9 Mb
Release : 2017-02-02
Category : Computers
ISBN : 9780128096253

Get Book

Big Data Analytics for Sensor-Network Collected Intelligence by Hui-Huang Hsu,Chuan-Yu Chang,Ching-Hsien Hsu Pdf

Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people’s behaviors, and how to unobtrusively provide better services. It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality. In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS Contains contributions from noted scholars in computer science and electrical engineering from around the globe Provides a broad overview of recent developments in sensor collected intelligence Edited by a team comprised of leading thinkers in big data analytics

Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data

Rajendra Akerkar
Big Data in Emergency Management Exploitation Techniques for Social and Mobile Data Book PDF

Author : Rajendra Akerkar
Publisher : Springer Nature
Page : 194 pages
File Size : 51,9 Mb
Release : 2020-09-14
Category : Computers
ISBN : 9783030480998

Get Book

Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data by Rajendra Akerkar Pdf

This contributed volume discusses essential topics and the fundamentals for Big Data Emergency Management and primarily focusses on the application of Big Data for Emergency Management. It walks the reader through the state of the art, in different facets of the big disaster data field. This includes many elements that are important for these technologies to have real-world impact. This book brings together different computational techniques from: machine learning, communication network analysis, natural language processing, knowledge graphs, data mining, and information visualization, aiming at methods that are typically used for processing big emergency data. This book also provides authoritative insights and highlights valuable lessons by distinguished authors, who are leaders in this field. Emergencies are severe, large-scale, non-routine events that disrupt the normal functioning of a community or a society, causing widespread and overwhelming losses and impacts. Emergency Management is the process of planning and taking actions to minimize the social and physical impact of emergencies and reduces the community’s vulnerability to the consequences of emergencies. Information exchange before, during and after the disaster periods can greatly reduce the losses caused by the emergency. This allows people to make better use of the available resources, such as relief materials and medical supplies. It also provides a channel through which reports on casualties and losses in each affected area, can be delivered expeditiously. Big Data-Driven Emergency Management refers to applying advanced data collection and analysis technologies to achieve more effective and responsive decision-making during emergencies. Researchers, engineers and computer scientists working in Big Data Emergency Management, who need to deal with large and complex sets of data will want to purchase this book. Advanced-level students interested in data-driven emergency/crisis/disaster management will also want to purchase this book as a study guide.

Big Data Applications in the Telecommunications Industry

Ouyang, Ye,Hu, Mantian
Big Data Applications in the Telecommunications Industry Book PDF

Author : Ouyang, Ye,Hu, Mantian
Publisher : IGI Global
Page : 216 pages
File Size : 41,6 Mb
Release : 2016-12-28
Category : Computers
ISBN : 9781522517511

Get Book

Big Data Applications in the Telecommunications Industry by Ouyang, Ye,Hu, Mantian Pdf

The growing presence of smart phones and smart devices has caused significant changes to wireless networks. With the ubiquity of these technologies, there is now increasingly more available data for mobile operators to utilize. Big Data Applications in the Telecommunications Industry is a comprehensive reference source for the latest scholarly material on the use of data analytics to study wireless networks and examines how these techniques can increase reliability and profitability, as well as network performance and connectivity. Featuring extensive coverage on relevant topics, such as accessibility, traffic data, and customer satisfaction, this publication is ideally designed for engineers, students, professionals, academics, and researchers seeking innovative perspectives on data science and wireless network communications.

Big Data. Implementation of a big data based mobile application

Miriam Kröner
Big Data Implementation of a big data based mobile application Book PDF

Author : Miriam Kröner
Publisher : GRIN Verlag
Page : 29 pages
File Size : 40,7 Mb
Release : 2016-11-16
Category : Business & Economics
ISBN : 9783668341883

Get Book

Big Data. Implementation of a big data based mobile application by Miriam Kröner Pdf

Seminar paper from the year 2016 in the subject Business economics - Business Management, Corporate Governance, grade: 1,3, University of Applied Sciences Neu-Ulm , language: English, abstract: The following research paper states out the analysis of the potential of a big data based shopping application for a sales manager of a store department in Germany. Based on a theoretical-conceptual analysis the paper gives a theoretical background regarding the necessary customer data in sales, big data, mobile shopping applications and the store departments. Considering the importance of big data in commerce and the rising amount of data generated by mobile applications, the paper at hand presents which data can be tracked, which analysis can be conducted with the data and what are potential activities for a sales manager to achieve mentioned aims in the different marketing policies and the overarching aim to increase profit. The findings of the analysis demonstrate that the implementation of a mobile shopping app offers many activities to achieve or support sales and marketing goals but the complex situation of store departments also needs to be taken into account.

Big Data, Small Devices

Donna Governor,Michael Bowen,Eric Brunsell
Big Data Small Devices Book PDF

Author : Donna Governor,Michael Bowen,Eric Brunsell
Publisher : Unknown
Page : 0 pages
File Size : 41,7 Mb
Release : 2017
Category : Big data
ISBN : 1681402769

Get Book

Big Data, Small Devices by Donna Governor,Michael Bowen,Eric Brunsell Pdf

Now your students can transform their mobile phones and tablets into tools for learning about everything from weather to water quality. Big Data, Small Devices shows you how. This book is designed for Earth and environmental science teachers who want to help students tap into, organize, and deploy large data sets via their devices to investigate the world around them. Using the many available websites and free apps, students can learn to detect patterns among phenomena related to the atmosphere, biosphere, geosphere, hydrosphere, and seasons. Written by veteran teachers, Big Data, Small Devices is organized into two major parts. It covers tools that help you both find real-time data and understand what to do with the data. Then, the authors provide sample app-based activities that you can use as written or adapt to your specific needs. These days, opportunities to learn are as close as your students' personal technology. As the authors of Big Data, Small Devices note, " Allowing students to conduct investigations using their smart phone in app-based activities allows them to be more engaged in science investigations."

Big Data and Networks Technologies

Yousef Farhaoui
Big Data and Networks Technologies Book PDF

Author : Yousef Farhaoui
Publisher : Springer
Page : 372 pages
File Size : 41,9 Mb
Release : 2019-07-17
Category : Computers
ISBN : 9783030236724

Get Book

Big Data and Networks Technologies by Yousef Farhaoui Pdf

This book reviews the state of the art in big data analysis and networks technologies. It addresses a range of issues that pertain to: signal processing, probability models, machine learning, data mining, databases, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart cities, networks technologies, etc. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. In turn, data science inspires novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and the social sciences. All papers presented here are the product of extensive field research involving applications and techniques related to data analysis in general, and to big data and networks technologies in particular. Given its scope, the book will appeal to advanced undergraduate and graduate students, postdoctoral researchers, lecturers and industrial researchers, as well general readers interested in big data analysis and networks technologies.

Big Data at Work

Thomas Davenport
Big Data at Work Book PDF

Author : Thomas Davenport
Publisher : Harvard Business Review Press
Page : 241 pages
File Size : 44,6 Mb
Release : 2014-02-04
Category : Business & Economics
ISBN : 9781422168172

Get Book

Big Data at Work by Thomas Davenport Pdf

Go ahead, be skeptical about big data. The author was—at first. When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means—and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold. This book will help you understand: • Why big data is important to you and your organization • What technology you need to manage it • How big data could change your job, your company, and your industry • How to hire, rent, or develop the kinds of people who make big data work • The key success factors in implementing any big data project • How big data is leading to a new approach to managing analytics With dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunities—from improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource.