Автор: Lemahieu Wilfried Название: Principles of Database Management ISBN: 1107186129 ISBN-13(EAN): 9781107186125 Издательство: Cambridge Academ Рейтинг: Цена: 58930.00 T Наличие на складе: Есть 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: Benson Mick Название: Advanced Text Mining and Applied Principles ISBN: 1632400286 ISBN-13(EAN): 9781632400284 Издательство: Неизвестно Цена: 117960.00 T 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: 194040.00 T 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: Kishan G. Mehrotra; Chilukuri K. Mohan; HuaMing Hu Название: Anomaly Detection Principles and Algorithms ISBN: 331988445X ISBN-13(EAN): 9783319884455 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 1 Introduction.- 2 Anomaly Detection.- 3 Distance-based Anomaly Detection Approaches.- 4 Clustering-based Anomaly Detection Approaches.- 5 Model-based Anomaly Detection Approaches.- 6 Distance and Density Based Approaches.- 7 Rank Based Approaches.- 8 Ensemble Methods.- 9 Algorithms for Time Series Data.- Datasets for Evaluation.- Datasets for Time Series Experiments.
Автор: Yizhou Sun, Jiawei Han Название: Mining Heterogeneous Information Networks: Principles and Methodologies ISBN: 1608458806 ISBN-13(EAN): 9781608458806 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 41580.00 T Наличие на складе: Невозможна поставка. Описание: Investigates the principles and methodologies of mining heterogeneous information networks. Departing from many existing network models that view interconnected data as homogeneous graphs or networks, the semi-structured heterogeneous information network model leverages the rich semantics of typed nodes and links in a network and uncovers surprisingly rich knowledge from the network.
Автор: Jurgen Beyerer, Matthias Richter, Matthias Nagel Название: Pattern Recognition: Introduction, Features, Classifiers and Principles ISBN: 3110537931 ISBN-13(EAN): 9783110537932 Издательство: Walter de Gruyter Цена: 86720.00 T Наличие на складе: Невозможна поставка. Описание: The book offers a thorough introduction to Pattern Recognition aimed at master and advanced bachelor students of engineering and the natural sciences. Besides classification - the heart of Pattern Recognition - special emphasis is put on features, their typology, their properties and their systematic construction. Additionally, general principles that govern Pattern Recognition are illustrated and explained in a comprehensible way. Rather than presenting a complete overview over the rapidly evolving field, the book is to clarifies the concepts so that the reader can easily understand the underlying ideas and the rationale behind the methods. For this purpose, the mathematical treatment of Pattern Recognition is pushed so far that the mechanisms of action become clear and visible, but not farther. Therefore, not all derivations are driven into the last mathematical detail, as a mathematician would expect it. Ideas of proofs are presented instead of complete proofs. From the authors’ point of view, this concept allows to teach the essential ideas of Pattern Recognition with sufficient depth within a relatively lean book. Mathematical methods explained thoroughly Extremely practical approach with many examples Based on over ten years lecture at Karlsruhe Institute of Technology For students but also for practitioners
Автор: Danai Koutra, Christos Faloutsos Название: Individual and Collective Graph Mining: Principles, Algorithms, and Applications ISBN: 1681732475 ISBN-13(EAN): 9781681732473 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 108110.00 T Наличие на складе: Невозможна поставка. Описание: Presents scalable, principled discovery algorithms that combine globality with locality to make sense of one or more graphs. In addition to fast algorithmic methodologies, the book also contribute graph-theoretical ideas and models, and real-world applications in two main areas - Individual Graph Mining and Collective Graph Mining.
Автор: Parteek Bhatia Название: Data Mining and Data Warehousing: Principles and Practical Techniques ISBN: 1108727743 ISBN-13(EAN): 9781108727747 Издательство: Cambridge Academ Рейтинг: Цена: 71810.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Clarke Название: Principles and Theory for Data Mining and Machine Learning ISBN: 0387981349 ISBN-13(EAN): 9780387981345 Издательство: Springer Рейтинг: Цена: 186330.00 T 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
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: 144410.00 T 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: Kepczynski Robert, Dimofte Alecsandra, Jandhyala Raghav Название: Implementing Integrated Business Planning: A Guide Exemplified with Process Context and SAP IBP Use Cases ISBN: 3319900943 ISBN-13(EAN): 9783319900940 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides comprehensive guidance on leveraging SAP IBP technology to connect strategic (to be understood as long term SC&O), tactical and operational planning into one coherent process framework, presenting experience shared by practitioners in workshops, customer presentations, business, and IT transformation projects.
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