Data Analytics Applications in Gaming and Entertainment

Data Analytics Applications in Gaming and Entertainment
Author: Günter Wallner
Publisher: CRC Press
Total Pages: 216
Release: 2019-07-11
Genre: Computers
ISBN: 1000008703

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.

Data Analytics Applications a Complete Guide

Data Analytics Applications a Complete Guide
Author: Gerardus Blokdyk
Publisher: 5starcooks
Total Pages: 128
Release: 2018-01-27
Genre:
ISBN: 9780655152842

How likely is the current Data Analytics Applications plan to come in on schedule or on budget? How can you negotiate Data Analytics Applications successfully with a stubborn boss, an irate client, or a deceitful coworker? When a Data Analytics Applications manager recognizes a problem, what options are available? How do you assess your Data Analytics Applications workforce capability and capacity needs, including skills, competencies, and staffing levels? How are the Data Analytics Applications's objectives aligned to the organization's overall business strategy? This exclusive Data Analytics Applications self-assessment will make you the trusted Data Analytics Applications domain expert by revealing just what you need to know to be fluent and ready for any Data Analytics Applications challenge. How do I reduce the effort in the Data Analytics Applications work to be done to get problems solved? How can I ensure that plans of action include every Data Analytics Applications task and that every Data Analytics Applications outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Analytics Applications opportunity costs are low? How can I deliver tailored Data Analytics Applications advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data Analytics Applications essentials are covered, from every angle: the Data Analytics Applications self-assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that Data Analytics Applications outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Analytics Applications practitioners. Their mastery, combined with the uncommon elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data Analytics Applications are maximized with professional results. Your purchase includes access details to the Data Analytics Applications self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.

Handbook of Statistical Analysis and Data Mining Applications

Handbook of Statistical Analysis and Data Mining Applications
Author: Ken Yale
Publisher: Elsevier
Total Pages: 824
Release: 2017-11-09
Genre: Mathematics
ISBN: 0124166458

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. - Includes input by practitioners for practitioners - Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models - Contains practical advice from successful real-world implementations - Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions - Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications

Guide to Big Data Applications

Guide to Big Data Applications
Author: S. Srinivasan
Publisher: Springer
Total Pages: 567
Release: 2017-05-25
Genre: Technology & Engineering
ISBN: 3319538179

This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics, biology, energy, healthcare, and business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.

Data Analytics Applications A Complete Guide - 2020 Edition

Data Analytics Applications A Complete Guide - 2020 Edition
Author: Gerardus Blokdyk
Publisher: 5starcooks
Total Pages: 312
Release: 2019-09-29
Genre:
ISBN: 9780655929413

Will it protect the assured, proper, and consistent collection, processing, communication, use and disposition of personally identifiable information in the relation to cloud services? Is it practical to move the data to an environment where the processing can be performed efficiently, or is it better to think about moving the processing to the data? Are you providing accurate/timely outage information? Are you under/over communicating? How do you protect the assured, proper, and consistent collection, processing, communication, use and disposition of personally identifiable information in the relation to cloud services? This easy Data Analytics Applications self-assessment will make you the reliable Data Analytics Applications domain master by revealing just what you need to know to be fluent and ready for any Data Analytics Applications challenge. How do I reduce the effort in the Data Analytics Applications work to be done to get problems solved? How can I ensure that plans of action include every Data Analytics Applications task and that every Data Analytics Applications outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Analytics Applications costs are low? How can I deliver tailored Data Analytics Applications advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data Analytics Applications essentials are covered, from every angle: the Data Analytics Applications self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data Analytics Applications outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Analytics Applications practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data Analytics Applications are maximized with professional results. Your purchase includes access details to the Data Analytics Applications self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data Analytics Applications Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Data Analytics Applications A Complete Guide - 2019 Edition

Data Analytics Applications A Complete Guide - 2019 Edition
Author: Gerardus Blokdyk
Publisher: 5starcooks
Total Pages: 318
Release: 2019-06-22
Genre:
ISBN: 9780655803447

How do different log parsers affect the results of log mining? What is the data involved, how big is it and where is it located? Are you under/over communicating? How timely was the data reported? Will it protect the assured, proper, and consistent collection, processing, communication, use and disposition of personally identifiable information in the relation to cloud services? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Data Analytics Applications investments work better. This Data Analytics Applications All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Data Analytics Applications Self-Assessment. Featuring 984 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Data Analytics Applications improvements can be made. In using the questions you will be better able to: - diagnose Data Analytics Applications projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Data Analytics Applications and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Data Analytics Applications Scorecard, you will develop a clear picture of which Data Analytics Applications areas need attention. Your purchase includes access details to the Data Analytics Applications self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data Analytics Applications Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Data Analytics Application A Complete Guide - 2019 Edition

Data Analytics Application A Complete Guide - 2019 Edition
Author: Gerardus Blokdyk
Publisher: 5starcooks
Total Pages: 320
Release: 2019-06-27
Genre:
ISBN: 9780655807391

Do weather conditions impact data quality? Will it allow users to retrieve their data and their application artifacts and to have strong assurance that the cloud service provider will delete all copies and not retain any materials belonging to the cloud service customer after an agreed period? Are you under/over communicating? How does data volume impact quality? Will it meet the latency, response time, concurrency, and throughput metrics and thresholds specified in a service level agreement? This exclusive Data Analytics Application self-assessment will make you the credible Data Analytics Application domain visionary by revealing just what you need to know to be fluent and ready for any Data Analytics Application challenge. How do I reduce the effort in the Data Analytics Application work to be done to get problems solved? How can I ensure that plans of action include every Data Analytics Application task and that every Data Analytics Application outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Analytics Application costs are low? How can I deliver tailored Data Analytics Application advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data Analytics Application essentials are covered, from every angle: the Data Analytics Application self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data Analytics Application outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Analytics Application practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data Analytics Application are maximized with professional results. Your purchase includes access details to the Data Analytics Application self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data Analytics Application Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Analytics in a Big Data World

Analytics in a Big Data World
Author: Bart Baesens
Publisher: John Wiley & Sons
Total Pages: 262
Release: 2014-04-15
Genre: Business & Economics
ISBN: 1118892747

The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.

Data Analytics Applications in Education

Data Analytics Applications in Education
Author: Jan Vanthienen
Publisher: CRC Press
Total Pages: 265
Release: 2017-09-29
Genre: Business & Economics
ISBN: 1498769284

The abundance of data and the rise of new quantitative and statistical techniques have created a promising area: data analytics. This combination of a culture of data-driven decision making and techniques to include domain knowledge allows organizations to exploit big data analytics in their evaluation and decision processes. Also, in education and learning, big data analytics is being used to enhance the learning process, to evaluate efficiency, to improve feedback, and to enrich the learning experience. As every step a student takes in the online world can be traced, analyzed, and used, there are plenty of opportunities to improve the learning process of students. First, data analytics techniques can be used to enhance the student’ s learning process by providing real-time feedback, or by enriching the learning experience. Second, data analytics can be used to support the instructor or teacher. Using data analytics, the instructor can better trace, and take targeted actions to improve, the learning process of the student. Third, there are possibilities in using data analytics to measure the performance of instructors. Finally, for policy makers, it is often unclear how schools use their available resources to "produce" outcomes. By combining structured and unstructured data from various sources, data analytics might provide a solution for governments that aim to monitor the performance of schools more closely. Data analytics in education should not be the domain of a single discipline. Economists should discuss the possibilities, issues, and normative questions with a multidisciplinary team of pedagogists, philosophers, computer scientists, and sociologists. By bringing together various disciplines, a more comprehensive answer can be formulated to the challenges ahead. This book starts this discussion by highlighting some economic perspectives on the use of data analytics in education. The book begins a rich, multidisciplinary discussion that may make data analytics in education seem as natural as a teacher in front of a classroom.