Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
Автор: Tor Lattimore, Csaba Szepesvari Название: Bandit Algorithms ISBN: 1108486827 ISBN-13(EAN): 9781108486828 Издательство: Cambridge Academ Рейтинг: Цена: 6970.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Decision-making in the face of uncertainty is a challenge in machine learning, and the multi-armed bandit model is a common framework to address it. This comprehensive introduction is an excellent reference for established researchers and a resource for graduate students interested in exploring stochastic, adversarial and Bayesian frameworks.
Автор: Kenneth D. Lawrence, Ronald K. Klimberg Название: Contemporary Perspectives in Data Mining: Volume 1 ISBN: 162396055X ISBN-13(EAN): 9781623960551 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 7623.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The series, <em>Contemporary Perspectives in Data Mining</em>, is composed of blind refereed scholarly research methods and applications of data mining. This series will be targeted both at the academic community, as well as the business practitioner.<br><br>Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The knowledge is extracted from this data by examining the patterns of the data, whether they be associations of groups or things, predictions, sequential relationships between time order events or natural groups.<br><br>Data mining applications are seen in finance (banking, brokerage, insurance), marketing (customer relationships, retailing, logistics, travel), as well as in manufacturing, health care, fraud detection, home-land security, and law enforcement.
Автор: Hsu Cheng Название: Information Systems ISBN: 9814383511 ISBN-13(EAN): 9789814383516 Издательство: World Scientific Publishing Рейтинг: Цена: 11563.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focusing on Information Systems (IS), this book provides an answer to a few basic questions in the field: What is the scientific nature of IS? How do we design IS in today`s connected world? What is the relationship between IS and innovation in knowledge economies?
Автор: Mena, Jesus Название: Data Mining Mobile Devices ISBN: 0367379899 ISBN-13(EAN): 9780367379896 Издательство: Taylor&Francis Рейтинг: Цена: 9033.00 р. Наличие на складе: Нет в наличии.
Описание:
With today's consumers spending more time on their mobiles than on their PCs, new methods of empirical stochastic modeling have emerged that can provide marketers with detailed information about the products, content, and services their customers desire.
Data Mining Mobile Devices defines the collection of machine-sensed environmental data pertaining to human social behavior. It explains how the integration of data mining and machine learning can enable the modeling of conversation context, proximity sensing, and geospatial location throughout large communities of mobile users.
Examines the construction and leveraging of mobile sites
Describes how to use mobile apps to gather key data about consumers' behavior and preferences
Discusses mobile mobs, which can be differentiated as distinct marketplaces--including Apple(R), Google(R), Facebook(R), Amazon(R), and Twitter(R)
Provides detailed coverage of mobile analytics via clustering, text, and classification AI software and techniques
Mobile devices serve as detailed diaries of a person, continuously and intimately broadcasting where, how, when, and what products, services, and content your consumers desire. The future is mobile--data mining starts and stops in consumers' pockets.
Describing how to analyze Wi-Fi and GPS data from websites and apps, the book explains how to model mined data through the use of artificial intelligence software. It also discusses the monetization of mobile devices' desires and preferences that can lead to the triangulated marketing of content, products, or services to billions of consumers--in a relevant, anonymous, and personal manner.
Автор: Gregor Dorfleitner; Lars Hornuf Название: FinTech and Data Privacy in Germany ISBN: 3030313344 ISBN-13(EAN): 9783030313340 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book examines the FinTech revolution from a data privacy perspective. It analyzes key players on the FinTech market and the developments in various market segments. Particular attention is paid to an empirical analysis of the privacy statements of 505 German FinTech firms and how they were adapted after the General Data Protection Regulation (GDPR) entered into effect in May 2018. The analysis also includes 38 expert interviews with relevant stakeholders from supervisory and regulatory authorities, the financial and FinTech industry, leading consulting firms and consumer protection agencies. By adopting this approach, the book identifies key regulatory needs, offers a valuable asset for practitioners and academics alike, and shares intriguing insights for lawyers, economists and everyone interested in FinTech and data privacy.
Описание: This book describes how companies can easily and pragmatically set up and realize the path to a data-driven enterprise, especially in the marketing practice, without external support and additional investments. The PI maturity model then describes the phases in which you can build a PI ecosystem in your company.
Автор: Duncan R. Shaw Название: Managing Emerging Data Technologies: Concepts and Use ISBN: 152976162X ISBN-13(EAN): 9781529761627 Издательство: Sage Publications Рейтинг: Цена: 23602.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Emerging data technologies are one of several forces that are changing the world. Following a unique macro, meso and micro structure, this textbook shows how technologies such as the Internet of Things, Artificial Intelligence and data analytics are altering business operations and strategy.
Автор: Kenneth D. Lawrence, Ronald K. Klimberg Название: Contemporary Perspectives in Data Mining, Volume 3 ISBN: 1641130555 ISBN-13(EAN): 9781641130554 Издательство: Mare Nostrum (Eurospan) Цена: 14137.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. This series will be targeted both at the academic community, as well as the business practitioner.Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The knowledge is extracted from this data by examining the patterns of the data, whether they be associations of groups or things, predictions, sequential relationships between time order events or natural groups. Data mining applications are in finance (banking, brokerage, and insurance), marketing (customer relationships, retailing, logistics, and travel), as well as in manufacturing, health care, fraud detection, homeland security, and law enforcement.
Автор: Rajput Dharmendra Singh, Thakur Ramjeevan Singh, Basha Syed Muzamil Название: Transforming Businesses With Bitcoin Mining and Blockchain Applications ISBN: 1799801861 ISBN-13(EAN): 9781799801863 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 28967.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The success of many companies through the assistance of bitcoin proves that technology continually dominates and transforms how economics operate. However, a deeper, more conceptual understanding of how these technologies work to identify innovation opportunities and how to successfully thrive in an increasingly competitive environment is needed for the entrepreneurs of tomorrow.
Transforming Businesses With Bitcoin Mining and Blockchain Applications provides innovative insights into IT infrastructure and emerging trends in the realm of digital business technologies. This publication analyzes and extracts information from Bitcoin networks and provides the necessary steps to designing open blockchain. Highlighting topics that include financial markets, risk management, and smart technologies, the research contained within the title is ideal for entrepreneurs, business professionals, managers, executives, academicians, researchers, and business students.
Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data.
The author has collected best practices from the world’s leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations.
Описание: Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry.
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