Книги. Художественная литература. Учебники и пособия.

Larry P. English

A comprehensive guide to quality improvement from the leading expert in information and data warehouse quality. Each year, companies lose millions as a result of inaccurate and missing data in their operational databases. This in turn corrupts data warehouses, causing them to fail. With information quality improvement and control systems, like the ones described in this book, your company can reduce costs and increase profits from quality information assets. Written by an internationally recognized expert in information quality improvement, Improving Data Warehouse and Business Information Quality arms you with a comprehensive set of tools and techniques for ensuring data quality both in source databases and the data warehouse. With the helpof best-practices case studies, Larry English fills you in on: * How and when to measure information quality. * How to measure the business costs of poor quality information. * How to select the right information...

Johanna Wenny Rahayu, David Taniar, Eric Pardede

The popularity of object-oriented concepts, design, and programming has stimulated the need for a database system that enables a straightforward process to store and retrieve object instances. Exploring object-oriented features and techniques in Oracle DBMS, this book describes the fundamental aspects of data modeling and implementation in Oracle. The implementation of structural aspects of an object model are covered, including object types, collection types, object referencing, nested tables, and inheritance structures, as well as the behavioral aspects that include encapsulated member procedures and functions. The complete cycle of database design using object-oriented concepts, implementation on object-relational Oracle, and data manipulations using member procedures/functions and object-relational queries is also addressed.

Claudia Imhoff, Nicholas Galemmo, Jonathan G. Geiger

* A cutting-edge response to Ralph Kimball's challenge to the data warehouse community that answers some tough questions about the effectiveness of the relational approach to data warehousing * Written by one of the best-known exponents of the BillInmon approach to data warehousing * Addresses head-on the tough issues raised by Kimball and explains how to choose the best modeling technique for solving common data warehouse design problems * Weighs the pros and cons of relational vs. dimensional modeling techniques * Focuses on tough modeling problems, including creating and maintaining keys and modeling calendars, hierarchies, transactions, and data quality

This book constitutes the refereed joint proceedings of seven workshops on evolutionary computing, EvoWorkshops 2007, held in Valencia, Spain in April 2007. The 55 revised full papers and 24 revised short papers presented were carefully reviewed and selected from a total of 160 submissions. In accordance with the seven workshops covered, the papers are organized in topical sections on evolutionary computation in communications, networks, and connected systems, evolutionary computation in finance and economics, evolutionary computation in image analysis and signal processing, interactive evolution and humanized computational intelligence, evolutionary music and art, evolutionary algorithms in stochastic and dynamic environments, as well as evolutionary computation in transportation and logistics.

Anita Croy

Let the experts at National Geographic act as your guides to Peru, land of stunning beauty and endless contrast. Look and learn in wonder at the diversity of landscape within this surprising country: barren deserts, green oases, snowcapped peaks, high windswept plateaus, and deep valleys. Encounter the endless array of fauna and flora that thrives within these ecologically and climatically diverse regions: the animals and plants of the coastal regions, the offshore islands, the coastal plains, and the sierra. Learn of the country's rich yet divisive history; how Peru was once the center of a powerful and extensive empire ruled by the Inca. Peer over the shoulders of experts on Peruvian archaeological sites and examine the treasures that yield the secrets of the Inca, one of history's most advanced civilizations. Learn how the Spanish conquered Peru in the 16th century, coveting its rich resources of precious metals, and how centuries of colonization would later leave a...

The technologies in data mining have been successfully applied to bioinformatics research in the past few years, but more research in this field is necessary. While tremendous progress has been made over the years, many of the fundamental challenges in bioinformatics are still open. Data mining plays an essential role in understanding the emerging problems in genomics, proteomics, and systems biology. Advanced Data Mining Technologies in Bioinformatics covers important research topics of data mining on bioinformatics. Readers of this book will gain an understanding of the basics and problems of bioinformatics, as well as the applications of data mining technologies in tackling the problems and the essential research topics in the field. Advanced Data Mining Technologies in Bioinformatics is extremely useful for data mining researchers, molecular biologists, graduate students, and others interested in this topic.

This book aims to present state-of-the-art analytical methods from statistics and data mining for the analysis of high-throughput data from genomics and proteomics. Research and development in genomics and proteomics depend on the analysis and interpretation of large amounts of data generated by high-throughput techniques. To exploit data obtained from experimental and observational studies, life scientists need to understand the analytical techniques and methods from statistics and data mining. These techniques are not easily accessible to life scientists working on genomics and proteomics problems, as the available material is presented from a highly mathematical perspective, favoring formal rigor over conceptual clarity and assessment of practical relevance. This book addresses these issues by adopting an approach focusing on concepts and applications. It presents key analytical techniques for the analysis of genomics and proteomics data by detailing their underlying principles,...

U.M. Borghoff, P. RA¶dig, J. Scheffczyk, L. Schmitz

Key to our culture is that we can disseminate information, and then maintain and access it over time. While we are rapidly advancing from vulnerable physical solutions to superior, digital media, preserving and using data over the long term involves complicated research challenges and organization efforts. Uwe Borghoff and his coauthors address the problem of storing, reading, and using digital data for periods longer than 50 years. They briefly describe several markup and document description languages like TIFF, PDF, HTML, and XML, explain the most important techniques such as migration and emulation, and present the OAIS (Open Archival Information System) Reference Model. To complement this background information on the technology issues the authors present the most relevant international preservation projects, such as the Dublin Core Metadata Initiative, and experiences from sample projects run by the Cornell University Library and the National Library of the Netherlands. A rated...

Arshad Khan

SAP and BW Data Warehousing: How to Plan and Implement is an introductory book for professionals and end-users associated with SAP and BW. It addresses their need to obtain an overview of SAP and BW features and functionality as well as project planning and implementation. SAP and BW Data Warehousing: How to Plan and Implement will be beneficial to a broad audience including those planning an SAP or BW project, senior executives, directors, functional managers and analysts, power users, end-users, project managers and project implementation team members (including technical staff, configurators, developers, and trainers). It can also be used as a supplemental text in IT courses that cover the subjects of ERP and data warehousing.

Brian Williams

National Geographic invites young readers to look North?to the world's second largest country. Learn how Canada boasts more lakes than any other country, and why its geological, climatic, and ecological variety make it a geographer's wonderland. Look back to a time when timber, minerals, and fresh water reserves initially attracted settlers to this great wilderness. Learn the background of Canada's formation in 1867 when three British colonies united to create a partially independent state of four provinces. Read how Canada achieved full independence in 1931. Experience a modern country self-sufficient in fossil fuels, whose rivers supply hydroelectric power to the big cities of Toronto, Montreal, and Vancouver. It's here that you'll meet most Canadians, with three-quarters of the population now living in such metropolitan areas. Within these cities, immigrants from all over the Earth have etched out their own communities, making Canadian society a modern mosaic of...