Big Data MBA, Schmarzo Bill

Автор: Jiawei Han
Название: Data Mining: Concepts and Techniques,
ISBN: 0123814790 ISBN-13(EAN): 9780123814791
Издательство: Elsevier Science
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Цена: 64800.00 T
Наличие на складе: Поставка под заказ.
Описание: Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining.

Автор: Tonidandel Scott
Название: Big Data at Work
ISBN: 1848725825 ISBN-13(EAN): 9781848725829
Издательство: Taylor&Francis
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Цена: 67360.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The amount of data in our world has been exploding, and analyzing large data sets?so called big data?will become a key basis of competition in business. Statisticians and researchers will be updating their analytic approaches, methods and research to meet the demands created by the availability of big data. The goal of this book is to show how advances in data science have the ability to fundamentally influence and improve organizational science and practice. This book is primarily designed for researchers and advanced undergraduate and graduate students in psychology, management and statistics.

Автор: Hamstra Mark, Zaharia Matei
Название: Learning Spark: Lightning-Fast Big Data Analytics
ISBN: 1449358624 ISBN-13(EAN): 9781449358624
Издательство: Wiley
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Цена: 33780.00 T
Наличие на складе: Поставка под заказ.
Описание: Written by the developers of Spark, this book will have data scientists and engineers up and running in no time.

Автор: David Loshin
Название: Big Data Analytics,
ISBN: 0124173195 ISBN-13(EAN): 9780124173194
Издательство: Elsevier Science
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Цена: 26940.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A short guide for managers to introduce big data technology to their organizations and change the culture and expectations around information management.

Автор: Chu Wesley W.
Название: Data Mining and Knowledge Discovery for Big Data
ISBN: 3642408362 ISBN-13(EAN): 9783642408366
Издательство: Springer
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Цена: 139310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book address topics ranging from mining data from opinion, spatiotemporal databases, discriminative subgraph patterns, path knowledge discovery, social media, and privacy issues to the subject of computation reduction via binary matrix factorization.

Автор: Thomas Rob
Название: Big Data Revolution: What Farmers, Doctors, and Insurance Agents Can Teach Us about Patterns in Big Data
ISBN: 1118943716 ISBN-13(EAN): 9781118943717
Издательство: Wiley
Рейтинг:
Цена: 20070.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Exploit the power and potential of Big Data to revolutionize business outcomes Big Data Revolution is a guide to improving performance, making better decisions, and transforming business through the effective use of Big Data.

Автор: Consumer Dummies, Anderson Alan
Название: Statistics for Big Data for Dummies
ISBN: 1118940016 ISBN-13(EAN): 9781118940013
Издательство: Wiley
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Цена: 17940.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Does the subject of data analysis make you dizzy? This book features introduction to exploratory data analysis, the lowdown on collecting, cleaning, and organizing data, everything you need to know about interpreting data using common software and programming languages. It helps you to identify valid, useful, and understandable patterns in data.

Автор: Iafrate Fernando
Название: From Big Data to Smart Data
ISBN: 1848217552 ISBN-13(EAN): 9781848217553
Издательство: Wiley
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Цена: 146730.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A pragmatic approach to Big Data by taking the reader on a journey between Big Data (what it is) and the Smart Data (what it is for). Today s decision making can be reached via information (related to the data), knowledge (related to people and processes), and timing (the capacity to decide, act and react at the right time).

Автор: Yun Yang
Название: Reliability Assurance of Big Data in the Cloud
ISBN: 0128025727 ISBN-13(EAN): 9780128025727
Издательство: Elsevier Science
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Цена: 53890.00 T
Наличие на складе: Невозможна поставка.
Описание: With the rapid growth of Cloud computing, the size of Cloud data is expanding at a dramatic speed. A huge amount of data is generated and processed by Cloud applications, putting a higher demand on cloud storage. While data reliability should already be a requirement, data in the Cloud needs to be stored in a highly cost-effective manner. This book focuses on the trade-off between data storage cost and data reliability assurance for big data in the Cloud. Throughout the whole Cloud data lifecycle, four major features are presented: first, a novel generic data reliability model for describing data reliability in the Cloud; second, a minimum replication calculation approach for meeting a given data reliability requirement to facilitate data creation; third, a novel cost-effective data reliability assurance mechanism for big data maintenance, which could dramatically reduce the storage space needed in the Cloud; fourth, a cost-effective strategy for facilitating data creation and recovery, which could significantly reduce the energy consumption during data transfer.