Автор: Lemahieu Wilfried Название: Principles of Database Management ISBN: 1107186129 ISBN-13(EAN): 9781107186125 Издательство: Cambridge Academ Рейтинг: Цена: 9821.00 р. Наличие на складе: Есть (1 шт.) Описание: A theory-practice focused text that teaches fundamentals of database management, design, modeling, Big Data, analytics, and more. Real-world examples, query walkthroughs, illustrations and case studies, make this perfect for introductory courses for advanced undergraduates or graduate students in information systems or computer science.
Автор: Clarke Название: Principles and Theory for Data Mining and Machine Learning ISBN: 0387981349 ISBN-13(EAN): 9780387981345 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Extensive treatment of the most up-to-date topicsProvides the theory and concepts behind popular and emerging methodsRange of topics drawn from Statistics, Computer Science, and Electrical Engineering
Описание: Each case takes a holistic approach and by doing so, each chapter recognizes that BPM in practice is a multidimensional endeavor covering strategy to operations, systems and infrastructure, governance and culture, models and running processes.This volume also introduces a new device to plan and scope BPM initiatives: the BPM Billboard.
Автор: Reinkemeyer Lars Название: Process Mining in Action: Principles, Use Cases and Outlook ISBN: 3030401715 ISBN-13(EAN): 9783030401719 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes process mining use cases and business impact along the value chain, from corporate to local applications, representing the state of the art in domain know-how. Providing a set of industrial case studies and best practices, it complements academic publications on the topic. Further the book reveals the challenges and failures in order to offer readers practical insights and guidance on how to avoid the pitfalls and ensure successful operational deployment. The book is divided into three parts: Part I provides an introduction to the topic from fundamental principles to key success factors, and an overview of operational use cases. As a holistic description of process mining in a business environment, this part is particularly useful for readers not yet familiar with the topic. Part II presents detailed use cases written by contributors from a variety of functions and industries. Lastly, Part III provides a brief overview of the future of process mining, both from academic and operational perspectives. Based on a solid academic foundation, process mining has received increasing interest from operational businesses, with many companies already reaping the benefits. As the first book to present an overview of successful industrial applications, it is of particular interest to professionals who want to learn more about the possibilities and opportunities this new technology offers. It is also a valuable resource for researchers looking for empirical results when considering requirements for enhancements and further developments.
Автор: Bramer, Max Название: Principles of data mining ISBN: 1447174925 ISBN-13(EAN): 9781447174929 Издательство: Springer Рейтинг: Цена: 6288.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Introduction to Data Mining.- Data for Data Mining.- Introduction to Classification: Naпve Bayes and Nearest Neighbour.- Using Decision Trees for Classification.- Decision Tree Induction: Using Entropy for Attribute Selection.- Decision Tree Induction: Using Frequency Tables for Attribute Selection.- Estimating the Predictive Accuracy of a Classifier.- Continuous Attributes.- Avoiding Overfitting of Decision Trees.- More About Entropy.- Inducing Modular Rules for Classification.- Measuring the Performance of a Classifier.- Dealing with Large Volumes of Data.- Ensemble Classification.- Comparing Classifiers.- Associate Rule Mining I.- Associate Rule Mining II.- Associate Rule Mining III.- Clustering.- Mining.- Classifying Streaming Data.- Classifying Streaming Data II: Time-dependent Data.- An Introduction to Neural Networks.- Appendix A - Essential Mathematics.- Appendix B - Datasets.- Appendix C - Sources of Further Information.- Appendix D - Glossary and Notation.- Appendix E - Solutions to Self-assessment Exercises.- Index.
Автор: Zizka Jan, Dařena Frantisek, Svoboda Arnost Название: Text Mining with Machine Learning: Principles and Techniques ISBN: 1032086211 ISBN-13(EAN): 9781032086217 Издательство: Taylor&Francis Рейтинг: Цена: 7348.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book provides explanations of principles of time-proven machine learning algorithms applied in text mining together with step-by-step demonstrations of how to reveal the semantic contents in real-world datasets using the popular R-language with its implemented machine learning algorithms.
Автор: Benson Mick Название: Advanced Text Mining and Applied Principles ISBN: 1632400286 ISBN-13(EAN): 9781632400284 Издательство: Неизвестно Цена: 17694.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Dhananjay Subhashchandra Deshpande, Narayan Bhosale, Rajesh Jagannathrao Londhe Название: Enhancing Academic Research With Knowledge Management Principles ISBN: 1522524894 ISBN-13(EAN): 9781522524892 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 29106.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "This book focuses on the Knowledge Management principles in academic research. This will work on development of theoretical frameworks for knowledge Management and building trust in sharing knowledge within the research community for the benefit of the society. It covers topics such as knowledge exchange networks, social media, linked data, and cloud computing"--
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.
Автор: Bertrand Clarke; Ernest Fokoue; Hao Helen Zhang Название: Principles and Theory for Data Mining and Machine Learning ISBN: 1461417074 ISBN-13(EAN): 9781461417071 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a thorough introduction to the most important topics in data mining and machine learning. All the topics covered have undergone rapid development and this treatment offers a modern perspective emphasizing the most recent contributions.
Автор: Jan vom Brocke; Jan Mendling Название: Business Process Management Cases ISBN: 331986372X ISBN-13(EAN): 9783319863726 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Поставка под заказ.
Описание: This book is the first to present a rich selection of over 30 real-world cases of how leading organizations conduct Business Process Management (BPM). The cases stem from a diverse set of industry sectors and countries on different continents, reporting on best practices and lessons learned. The book showcases how BPM can contribute to both exploitation and exploration in a digital world. All cases are presented using a uniform structure in order to provide valuable insights and essential guidance for students and practitioners.
Описание: This textbook gives an in-depth discussion of basic principles and practical techniques of data mining and data warehousing. Theoretical concepts are discussed in detail with the help of practical examples. It covers data mining tools and language such as Weka and R language.
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