Software Analytics For Mobile Applications
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Software Analytics For Mobile Applications
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Author :
language : en
Publisher: Roberto Minelli
Release Date :
Software Analytics For Mobile Applications written by and has been published by Roberto Minelli this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Mobile Application Development Practice And Experience
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Author : Jagannath Singh
language : en
Publisher: Springer Nature
Release Date : 2023-01-01
Mobile Application Development Practice And Experience written by Jagannath Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-01 with Technology & Engineering categories.
The book constitutes proceedings of the 12th Industry Symposium held in conjunction with the 18th edition of the International Conference on Distributed Computing and Intelligent Technology (ICDCIT 2022). The focus of the industry symposium is on Mobile Application Development: Practice and Experience. This book focuses on software engineering research and practice supporting any aspects of mobile application development. The book discusses findings in the areas of mobile application analysis, models for generating these applications, testing, debugging & repair, localization & globalization, app review analytics, app store mining, app beyond smartphones and tablets, app deployment, maintenance, and reliability of apps, industrial case studies of automated software engineering for mobile apps, etc. Papers included in the book describe new or improved ways to handle these aspects or address them in a more unified manner, discussing benefits, limitations, and costs of provided solutions. The volume will be useful for master, research students as well as industry professionals.
The Beginner S Guide To Mobile App Analytics Understanding Data For All
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Author : M.B. Chatfield
language : en
Publisher: M.B. Chatfield
Release Date :
The Beginner S Guide To Mobile App Analytics Understanding Data For All written by M.B. Chatfield and has been published by M.B. Chatfield this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Unleash the insights hidden within your mobile app data. In today's competitive mobile app market, it's more important than ever to understand how your app is performing. By tracking and analyzing your app's data, you can identify areas for improvement, optimize your app's performance, and drive conversions and user satisfaction. The Beginner's Guide to Mobile App Analytics is the perfect resource for anyone who wants to learn how to use mobile app analytics to improve their app's success. This comprehensive guide covers everything you need to know, from the basics of mobile app analytics to advanced topics such as user engagement and retention. Whether you're a mobile app developer, marketer, or business owner, The Beginner's Guide to Mobile App Analytics is the essential resource for understanding and using mobile app analytics. Here are some of the key topics covered in the book: Introduction to mobile app analytics Setting up your mobile app analytics solution Tracking user acquisition Tracking user engagement Tracking user retention Identifying trends and patterns in your data Using your insights to make data-driven decisions With The Beginner's Guide to Mobile App Analytics, you'll be well on your way to using mobile app analytics to drive the success of your app. #datascience #machinelearning #analyticsforeveryone #dataanalysisforbeginners #data #datavisualization #machinelearning #beginnersguide #learndata #GoogleAnalytics #Google #mobileapp #datavisualization #madeeasy #madesimple
Data Mining For Business Intelligence
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Author : Galit Shmueli
language : en
Publisher: John Wiley & Sons
Release Date : 2006-12-11
Data Mining For Business Intelligence written by Galit Shmueli and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-12-11 with Mathematics categories.
Learn how to develop models for classification, prediction, and customer segmentation with the help of Data Mining for Business Intelligence In today's world, businesses are becoming more capable of accessing their ideal consumers, and an understanding of data mining contributes to this success. Data Mining for Business Intelligence, which was developed from a course taught at the Massachusetts Institute of Technology's Sloan School of Management, and the University of Maryland's Smith School of Business, uses real data and actual cases to illustrate the applicability of data mining intelligence to the development of successful business models. Featuring XLMiner, the Microsoft Office Excel add-in, this book allows readers to follow along and implement algorithms at their own speed, with a minimal learning curve. In addition, students and practitioners of data mining techniques are presented with hands-on, business-oriented applications. An abundant amount of exercises and examples are provided to motivate learning and understanding. Data Mining for Business Intelligence: Provides both a theoretical and practical understanding of the key methods of classification, prediction, reduction, exploration, and affinity analysis Features a business decision-making context for these key methods Illustrates the application and interpretation of these methods using real business cases and data This book helps readers understand the beneficial relationship that can be established between data mining and smart business practices, and is an excellent learning tool for creating valuable strategies and making wiser business decisions.
Machine Intelligence And Big Data Analytics For Cybersecurity Applications
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Author : Yassine Maleh
language : en
Publisher: Springer Nature
Release Date : 2020-12-14
Machine Intelligence And Big Data Analytics For Cybersecurity Applications written by Yassine Maleh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-14 with Computers categories.
This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware analysis. Cyber-attacks have posed real and wide-ranging threats for the information society. Detecting cyber-attacks becomes a challenge, not only because of the sophistication of attacks but also because of the large scale and complex nature of today’s IT infrastructures. It discusses novel trends and achievements in machine intelligence and their role in the development of secure systems and identifies open and future research issues related to the application of machine intelligence in the cybersecurity field. Bridging an important gap between machine intelligence, big data, and cybersecurity communities, it aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances on machine intelligence and big data analytics for cybersecurity applications.
Smart Trends In Computing And Communications
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Author : Tomonobu Senjyu
language : en
Publisher: Springer Nature
Release Date : 2024-06-01
Smart Trends In Computing And Communications written by Tomonobu Senjyu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-01 with Computers categories.
This book gathers high-quality papers presented at the Eighth International Conference on Smart Trends in Computing and Communications (SmartCom 2024), organized by Global Knowledge Research Foundation (GR Foundation) from 12 to 13 January 2024 in Pune, India. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.
Mobile Application Development Usability And Security
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Author : Mukherjea, Sougata
language : en
Publisher: IGI Global
Release Date : 2016-10-19
Mobile Application Development Usability And Security written by Mukherjea, Sougata and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-19 with Technology & Engineering categories.
The development of mobile technology has experienced exponential growth in recent years. Mobile devices are ubiquitous in modern society, impacting both our personal and professional lives. Mobile Application Development, Usability, and Security provides a thorough overview on the different facets of mobile technology management and its integration into modern society. Highlighting issues related to analytics, cloud computing, and different types of application development, this book is a pivotal reference source for professionals, researchers, upper-level students, and practitioners actively involved in the area of mobile computing.
Emerging Trends In Cloud Computing Analytics Scalability And Service Models
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Author : Darwish, Dina
language : en
Publisher: IGI Global
Release Date : 2024-01-25
Emerging Trends In Cloud Computing Analytics Scalability And Service Models written by Darwish, Dina and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-25 with Computers categories.
Academic scholars and industry professionals alike face the formidable challenge of staying informed about emerging trends and innovations in cloud computing. The expansive realm of cloud technology has been the catalyst for several transformative changes across industries, offering unparalleled opportunities for optimization and innovation. However, even seasoned experts may find themselves daunted by the intricate web of new technologies, including green cloud computing, edge computing, cryptography in the cloud, load balancing strategies, and cloud analytics insights. Emerging Trends in Cloud Computing: Analytics, Scalability, and Service Models provides academic scholars and industry professionals with a comprehensive exploration of these critical cloud computing topics and more. This invaluable resource provides clarity and insight, serving as a guiding beacon in the ever-evolving world of cloud technology. Whether you're seeking to understand the intricacies of cloud security solutions, the nuances of scalability in cloud computing, or the various service models in the cloud, this book empowers you to navigate this dynamic field with confidence and expertise.
Context Aware Machine Learning And Mobile Data Analytics
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Author : Iqbal Sarker
language : en
Publisher: Springer Nature
Release Date : 2022-01-01
Context Aware Machine Learning And Mobile Data Analytics written by Iqbal Sarker and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-01 with Computers categories.
This book offers a clear understanding of the concept of context-aware machine learning including an automated rule-based framework within the broad area of data science and analytics, particularly, with the aim of data-driven intelligent decision making. Thus, we have bestowed a comprehensive study on this topic that explores multi-dimensional contexts in machine learning modeling, context discretization with time-series modeling, contextual rule discovery and predictive analytics, recent-pattern or rule-based behavior modeling, and their usefulness in various context-aware intelligent applications and services. The presented machine learning-based techniques can be employed in a wide range of real-world application areas ranging from personalized mobile services to security intelligence, highlighted in the book. As the interpretability of a rule-based system is high, the automation in discovering rules from contextual raw data can make this book more impactful for the application developers as well as researchers. Overall, this book provides a good reference for both academia and industry people in the broad area of data science, machine learning, AI-Driven computing, human-centered computing and personalization, behavioral analytics, IoT and mobile applications, and cybersecurity intelligence.
Mobile Applications In The Corporate World A Comprehensive Guide
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-03-07
Mobile Applications In The Corporate World A Comprehensive Guide written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-07 with Technology & Engineering categories.
Mobile applications have become essential tools for businesses of all sizes. They can improve productivity, efficiency, and customer engagement. However, developing mobile applications for the enterprise can be a complex and challenging task. This book provides a comprehensive guide to mobile application development for the enterprise. It covers everything from the basics of mobile platforms and operating systems to the latest trends and innovations in mobile technology. Whether you are a seasoned mobile developer or just starting out, this book will provide you with the knowledge and skills you need to build successful mobile applications for the enterprise. In this book, you will learn about: * The benefits and challenges of mobile applications in the enterprise * The different types of mobile platforms and operating systems * The various mobile application development platforms and tools * The best practices for designing and developing mobile user interfaces * The techniques for managing data and security in mobile applications * The strategies for testing, deploying, and marketing mobile applications You will also learn about the latest trends in mobile technology, such as the Internet of Things (IoT), artificial intelligence (AI), and augmented reality (AR), and how these technologies are being used to create new and innovative mobile applications. By the end of this book, you will have a solid understanding of the entire mobile application development process, from ideation and design to testing and deployment. You will also be familiar with the latest trends and innovations in mobile technology and how they can be used to create powerful and engaging mobile applications for the enterprise. This book is a valuable resource for anyone who wants to learn about mobile application development for the enterprise. It is also a great reference for experienced mobile developers who want to stay up-to-date on the latest trends and innovations in mobile technology. If you like this book, write a review!