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Big and Complex Data Analysis: Methodologies and Applications, Ahmed S. Ejaz


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Автор: Ahmed S. Ejaz
Название:  Big and Complex Data Analysis: Methodologies and Applications
ISBN: 9783319823874
Издательство: Springer
Классификация:




ISBN-10: 3319823876
Обложка/Формат: Paperback
Страницы: 386
Вес: 0.56 кг.
Дата издания: 17.07.2018
Серия: Contributions to statistics
Язык: English
Издание: Softcover reprint of
Иллюстрации: 56 tables, color; 55 illustrations, color; 30 illustrations, black and white; xiv, 386 p. 85 illus., 55 illus. in color.
Размер: 23.39 x 15.60 x 2.08 cm
Читательская аудитория: General (us: trade)
Подзаголовок: Methodologies and applications
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Examples include epigenomic data, genomic data, proteomic data, high-resolution image data, high-frequency financial data, functional and longitudinal data, and network data.

Permutation Tests for Complex Data - Theory, Applications and Software

Автор: Pesarin
Название: Permutation Tests for Complex Data - Theory, Applications and Software
ISBN: 0470516410 ISBN-13(EAN): 9780470516416
Издательство: Wiley
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Цена: 113990.00 T
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Описание: Complex multivariate testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. As a result, modern statistics needs permutation testing for complex data with low sample size and many variables, especially in observational studies.

Social Network Based Big Data Analysis and Applications

Автор: Mehmet Kaya; Jalal Kawash; Suheil Khoury; Min-Yuh
Название: Social Network Based Big Data Analysis and Applications
ISBN: 3030086399 ISBN-13(EAN): 9783030086398
Издательство: Springer
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Цена: 83850.00 T
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Описание:

This book is a timely collection of chapters that present the state of the art within the analysis and application of big data. Working within the broader context of big data, this text focuses on the hot topics of social network modelling and analysis such as online dating recommendations, hiring practices, and subscription-type prediction in mobile phone services. Manuscripts are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’2016), which was held in August 2016. The papers were among the best featured at the meeting and were then improved and extended substantially. Social Network Based Big Data Analysis and Applications will appeal to students and researchers in the field.

Optimization and Decision Science: Methodologies and Applications

Автор: Antonio Sforza; Claudio Sterle
Название: Optimization and Decision Science: Methodologies and Applications
ISBN: 3319673076 ISBN-13(EAN): 9783319673073
Издательство: Springer
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Цена: 167700.00 T
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Описание: This proceedings volume highlights the state-of-the-art knowledge related to optimization, decisions science and problem solving methods, as well as their application in industrial and territorial systems. The chapter topics are applicable for researchers and practitioners working in these areas, but also for the operations research community.

Knowledge Management: Concepts, Methodologies, Tools and Applications (set of 6-volumes)

Автор: Murray E. Jennex
Название: Knowledge Management: Concepts, Methodologies, Tools and Applications (set of 6-volumes)
ISBN: 1599049333 ISBN-13(EAN): 9781599049335
Издательство: Mare Nostrum (Eurospan)
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Цена: 1784030.00 T
Наличие на складе: Нет в наличии.
Описание: A reference source for theories, concepts and methodologies within the knowledge management discipline. It includes chapters on implementing knowledge management (KM) in organizations, KM systems acceptance, KM communication, knowledge representation, knowledge sharing, KM success models, knowledge ontology and operational KM.

Big Data: Concepts, Methodologies, Tools, and Applications

Автор: Information Resources Management Association
Название: Big Data: Concepts, Methodologies, Tools, and Applications
ISBN: 1466698403 ISBN-13(EAN): 9781466698406
Издательство: Mare Nostrum (Eurospan)
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Цена: 2166780.00 T
Наличие на складе: Невозможна поставка.
Описание: This is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets.

Data Mining: Concepts, Methodologies, Tools, and Applications

Автор: IRMA
Название: Data Mining: Concepts, Methodologies, Tools, and Applications
ISBN: 1466624558 ISBN-13(EAN): 9781466624559
Издательство: Mare Nostrum (Eurospan)
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Цена: 1988450.00 T
Наличие на складе: Невозможна поставка.
Описание: Data mining continues to be an emerging interdisciplinary field that offers the ability to extract information from an existing data set and translate that knowledge for end-users into an understandable way.Data Mining: Concepts, Methodologies, Tools, and Applications is a comprehensive collection of research on the latest advancements and developments of data mining and how it fits into the currently technological world.

Benford`S Law: Theory, The General Law Of Relative Quantities, And Forensic Fraud Detection Applications

Автор: Kossovsky Alex Ely
Название: Benford`S Law: Theory, The General Law Of Relative Quantities, And Forensic Fraud Detection Applications
ISBN: 9814583685 ISBN-13(EAN): 9789814583688
Издательство: World Scientific Publishing
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Цена: 227040.00 T
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Описание:

Contrary to common intuition that all digits should occur randomly with equal chances in real data, empirical examinations consistently show that not all digits are created equal, but rather that low digits such as {1, 2, 3} occur much more frequently than high digits such as {7, 8, 9} in almost all data types, such as those relating to geology, chemistry, astronomy, physics, and engineering, as well as in accounting, financial, econometrics, and demographics data sets. This intriguing digital phenomenon is known as Benford's Law.

This book gives a comprehensive and in-depth account of all the theoretical aspects, results, causes and explanations of Benford's Law, with a strong emphasis on the connection to real-life data and the physical manifestation of the law. In addition to such a bird's eye view of the digital phenomenon, the conceptual distinctions between digits, numbers, and quantities are explored; leading to the key finding that the phenomenon is actually quantitative in nature; originating from the fact that in extreme generality, nature creates many small quantities but very few big quantities, corroborating the motto "small is beautiful," and that therefore all this is applicable just as well to data written in the ancient Roman, Mayan, Egyptian, and other digit-less civilizations.

Fraudsters are typically not aware of this digital pattern and tend to invent numbers with approximately equal digital frequencies. The digital analyst can easily check reported data for compliance with this digital law, enabling the detection of tax evasion, Ponzi schemes, and other financial scams. The forensic fraud detection section in this book is written in a very concise and reader-friendly style; gathering all known methods and standards in the accounting and auditing industry; summarizing and fusing them into a singular coherent whole; and can be understood without deep knowledge in statistical theory or advanced mathematics. In addition, a digital algorithm is presented, enabling the auditor to detect fraud even when the sophisticated cheater is aware of the law and invents numbers accordingly. The algorithm employs a subtle inner digital pattern within the Benford's pattern itself. This newly discovered pattern is deemed to be nearly universal, being even more prevalent than the Benford phenomenon, as it is found in all random data sets, Benford as well as non-Benford types.


Benford`S Law: Theory, The General Law Of Relative Quantities, And Forensic Fraud Detection Applications

Автор: Kossovsky Alex Ely
Название: Benford`S Law: Theory, The General Law Of Relative Quantities, And Forensic Fraud Detection Applications
ISBN: 9814651206 ISBN-13(EAN): 9789814651202
Издательство: World Scientific Publishing
Цена: 57030.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Contrary to common intuition that all digits should occur randomly with equal chances in real data, empirical examinations consistently show that not all digits are created equal, but rather that low digits such as {1, 2, 3} occur much more frequently than high digits such as {7, 8, 9} in almost all data types

Highlighting the Importance of Big Data Management and Analysis for Various Applications

Автор: Mohammad Moshirpour; Behrouz Far; Reda Alhajj
Название: Highlighting the Importance of Big Data Management and Analysis for Various Applications
ISBN: 3319602543 ISBN-13(EAN): 9783319602547
Издательство: Springer
Рейтинг:
Цена: 83850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business.

Big Data Analysis and Deep Learning Applications

Автор: Zin
Название: Big Data Analysis and Deep Learning Applications
ISBN: 9811308683 ISBN-13(EAN): 9789811308680
Издательство: Springer
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Цена: 167700.00 T
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Описание:

Big data analysis.- Machine learning and applications.- Monitoring system by using image processing.- Conventional neural networks and its applications.- Information and communication.- Industrial information systems and applications.


Complex Analysis with Applications

Название: Complex Analysis with Applications
ISBN: 3319940627 ISBN-13(EAN): 9783319940625
Издательство: Springer
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Цена: 46570.00 T
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Описание: Widely used graphics clarify both concrete and abstract concepts, helping students visualize the proofs of many results. Freely accessible solutions to every-other-odd exercise are posted to the book`s Springer website.

Highlighting the Importance of Big Data Management and Analysis for Various Applications

Автор: Mohammad Moshirpour; Behrouz Far; Reda Alhajj
Название: Highlighting the Importance of Big Data Management and Analysis for Various Applications
ISBN: 3319868187 ISBN-13(EAN): 9783319868189
Издательство: Springer
Рейтинг:
Цена: 83850.00 T
Наличие на складе: Поставка под заказ.
Описание:

This book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business. Featuring chapters which discuss effective and efficient approaches in dealing with the inherent complexity and increasing demands in data science, a variety of application domains are covered. Various case studies by data management and analysis experts are presented in these chapters. Covered applications include banking, social networks, bioinformatics, healthcare, transportation and criminology. Highlighting the Importance of Big Data Management and Analysis for Various Applications will provide the reader with an understanding of how data management and analysis are adapted to these applications. This book will appeal to researchers and professionals in the field.


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