Game Analytics, Magy Seif El-Nasr; Anders Drachen; Alessandro Cano
Автор: Paolo Massimo Buscema; William J. Tastle Название: Intelligent Data Mining in Law Enforcement Analytics ISBN: 9400796013 ISBN-13(EAN): 9789400796010 Издательство: Springer Рейтинг: Цена: 194730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this thorough review of cutting-edge methods in law-enforcement data mining, the authors bring the latest research on artificial intelligence to life with chapters on key neural network developments in law enforcement that make criminality more foreseeable.
Автор: B. Baesens, D. Roesch, H. Scheule Название: Credit Risk Analytics - Measurement Techniques, Applications, and Examples in SAS ISBN: 1119143985 ISBN-13(EAN): 9781119143987 Издательство: Wiley Рейтинг: Цена: 71810.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The long-awaited, comprehensive guide to practical credit risk modeling Credit Risk Analytics provides a targeted training guide for risk managers looking to efficiently build or validate in-house models for credit risk management.
Can you really keep your eye on the ball? How is massive data collection changing sports?
Sports science courses are growing in popularity. The author's course at Roanoke College is a mix of physics, physiology, mathematics, and statistics. Many students of both genders find it exciting to think about sports. Sports problems are easy to create and state, even for students who do not live sports 24/7. Sports are part of their culture and knowledge base, and the opportunity to be an expert on some area of sports is invigorating. This should be the primary reason for the growth of mathematics of sports courses: the topic provides intrinsic motivation for students to do their best work.
From the Author:
The topics covered in Sports Science and Sports Analytics courses vary widely. To use a golfing analogy, writing a book like this is like hitting a drive at a driving range; there are many directions you can go without going out of bounds. At the driving range, I pick out a small target to focus on, and that is what I have done here. I have chosen a sample of topics I find very interesting. Ideally, users of this book will have enough to choose from to suit whichever version of a sports course is being run.
The book is very appealing to teach from as well as to learn from. Students seem to have a growing interest in ways to apply traditionally different areas to solve problems. This, coupled with an enthusiasm for sports, makes Dr. Minton's book appealing to me.--Kevin Hutson, Furman University
Автор: Raffaele de Amicis; R. Stojanovic; Giuseppe Conti Название: GeoSpatial Visual Analytics ISBN: 9048128978 ISBN-13(EAN): 9789048128976 Издательство: Springer Рейтинг: Цена: 232910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Research trends have brought to an effective combination of data mining and information visualization, often referred to as Visual Analytics (VA). This book tackles a wide range of application domains, all relevant to environmental security.
Автор: Yun Fu Название: Human-Centered Social Media Analytics ISBN: 3319347098 ISBN-13(EAN): 9783319347097 Издательство: Springer Рейтинг: Цена: 88500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a timely and unique survey of next-generation social computational methodologies. discusses the prediction and recognition of human attributes via social media analytics, including social relationships, facial age and beauty, and occupation.
Автор: Wong Название: Big Data Analytics in Genomics ISBN: 3319412787 ISBN-13(EAN): 9783319412788 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This contributed volume explores the emerging intersection between big data analytics and genomics. Recent sequencing technologies have enabled high-throughput sequencing data generation for genomics resulting in several international projects which have led to massive genomic data accumulation at an unprecedented pace. To reveal novel genomic insights from this data within a reasonable time frame, traditional data analysis methods may not be sufficient or scalable, forcing the need for big data analytics to be developed for genomics. The computational methods addressed in the book are intended to tackle crucial biological questions using big data, and are appropriate for either newcomers or veterans in the field.
This volume offers thirteen peer-reviewed contributions, written by international leading experts from different regions, representing Argentina, Brazil, China, France, Germany, Hong Kong, India, Japan, Spain, and the USA. In particular, the book surveys three main areas: statistical analytics, computational analytics, and cancer genome analytics. Sample topics covered include: statistical methods for integrative analysis of genomic data, computation methods for protein function prediction, and perspectives on machine learning techniques in big data mining of cancer. Self-contained and suitable for graduate students, this book is also designed for bioinformaticians, computational biologists, and researchers in communities ranging from genomics, big data, molecular genetics, data mining, biostatistics, biomedical science, cancer research, medical research, and biology to machine learning and computer science. Readers will find this volume to be an essential read for appreciating the role of big data in genomics, making this an invaluable resource for stimulating further research on the topic.
Название: Human-centered social media analytics ISBN: 3319054902 ISBN-13(EAN): 9783319054902 Издательство: Springer Рейтинг: Цена: 88500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Human-Centered Social Media Analytics
Автор: Raffaele de Amicis; R. Stojanovic; Giuseppe Conti Название: GeoSpatial Visual Analytics ISBN: 9048128986 ISBN-13(EAN): 9789048128983 Издательство: Springer Рейтинг: Цена: 135090.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Research trends have brought to an effective combination of data mining and information visualization, often referred to as Visual Analytics (VA). This book tackles a wide range of application domains, all relevant to environmental security.
Автор: Alejandra Gonz?lez-Beltr?n; Francesco Osborne; Sil Название: Semantics, Analytics, Visualization. Enhancing Scholarly Data ISBN: 3319536362 ISBN-13(EAN): 9783319536361 Издательство: Springer Рейтинг: Цена: 39130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the Second International Workshop on Semantics, Analytics, Visualization,- Enhancing Scholarly Data,- SAVE-SD 2016, held in Montreal, QC, Canada, in April 2016.
Автор: Grindrod Peter Название: Mathematical Underpinnings of Analytics ISBN: 0198725094 ISBN-13(EAN): 9780198725091 Издательство: Oxford Academ Рейтинг: Цена: 50150.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A cutting edge graduate level book on the way the mathematical analytics of big data can add value and bring competitive advantage to consumer-facing industries.
Автор: Bari Anasse, Chaouchi Mohamed, Jung Tommy Название: Predictive Analytics for Dummies ISBN: 1119267005 ISBN-13(EAN): 9781119267003 Издательство: Wiley Рейтинг: Цена: 27450.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Use Big Data and technology to uncover real-world insights You don`t need a time machine to predict the future. All it takes is a little knowledge and know-how, and Predictive Analytics For Dummies gets you there fast.
Автор: Pyne Название: Big Data Analytics ISBN: 8132236262 ISBN-13(EAN): 9788132236269 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book has a collection of articles written by Big Data experts to describe some of the cutting-edge methods and applications from their respective areas of interest, and provides the reader with a detailed overview of the field of Big Data Analytics as it is practiced today. The chapters cover technical aspects of key areas that generate and use Big Data such as management and finance; medicine and healthcare; genome, cytome and microbiome; graphs and networks; Internet of Things; Big Data standards; bench-marking of systems; and others. In addition to different applications, key algorithmic approaches such as graph partitioning, clustering and finite mixture modelling of high-dimensional data are also covered. The varied collection of themes in this volume introduces the reader to the richness of the emerging field of Big Data Analytics.
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