December 5, 2020

Download Ebook Free Repurposing Legacy Data

Repurposing Legacy Data

Repurposing Legacy Data
Author : Jules J. Berman
Publisher : Elsevier
Release Date : 2015-03-13
Category : Computers
Total pages :176
GET BOOK

Repurposing Legacy Data: Innovative Case Studies takes a look at how data scientists have re-purposed legacy data, whether their own, or legacy data that has been donated to the public domain. Most of the data stored worldwide is legacy data—data created some time in the past, for a particular purpose, and left in obsolete formats. As with keepsakes in an attic, we retain this information thinking it may have value in the future, though we have no current use for it. The case studies in this book, from such diverse fields as cosmology, quantum physics, high-energy physics, microbiology, psychiatry, medicine, and hospital administration, all serve to demonstrate how innovative people draw value from legacy data. By following the case examples, readers will learn how legacy data is restored, merged, and analyzed for purposes that were never imagined by the original data creators. Discusses how combining existing data with other data sets of the same kind can produce an aggregate data set that serves to answer questions that could not be answered with any of the original data Presents a method for re-analyzing original data sets using alternate or improved methods that can provide outcomes more precise and reliable than those produced in the original analysis Explains how to integrate heterogeneous data sets for the purpose of answering questions or developing concepts that span several different scientific fields

More Technology for the Rest of Us

More Technology for the Rest of Us
Author : Nancy Courtney
Publisher : ABC-CLIO
Release Date : 2010
Category : Language Arts & Disciplines
Total pages :172
GET BOOK

In this valuable book, 11 chapters each overview a technology of interest to librarians working in the field today. * 11 chapters explain technology topics of interest to librarians * Contributors are IT librarians from academic and public libraries * Each chapter offers both print and online resources for further information * A glossary of terms clarifies library technology topics discussed in the book * A selected bibliography also enables further research

Logic and Critical Thinking in the Biomedical Sciences

Logic and Critical Thinking in the Biomedical Sciences
Author : Jules J. Berman
Publisher : Academic Press
Release Date : 2020-07-08
Category : Business & Economics
Total pages :290
GET BOOK

All too often, individuals engaged in the biomedical sciences assume that numeric data must be left to the proper authorities (e.g., statisticians and data analysts) who are trained to apply sophisticated mathematical algorithms to sets of data. This is a terrible mistake. Individuals with keen observational skills, regardless of their mathematical training, are in the best position to draw correct inferences from their own data and to guide the subsequent implementation of robust, mathematical analyses. Volume 2 of Logic and Critical Thinking in the Biomedical Sciences provides readers with a repertoire of deductive non-mathematical methods that will help them draw useful inferences from their own data. Volumes 1 and 2 of Logic and Critical Thinking in the Biomedical Sciences are written for biomedical scientists and college-level students engaged in any of the life sciences, including bioinformatics and related data sciences. Demonstrates that a great deal can be deduced from quantitative data, without applying any statistical or mathematical analyses Provides readers with simple techniques for quickly reviewing and finding important relationships hidden within large and complex sets of data Using examples drawn from the biomedical literature, discusses common pitfalls in data interpretation and how they can be avoided

Data Simplification

Data Simplification
Author : Jules J. Berman
Publisher : Morgan Kaufmann
Release Date : 2016-03-10
Category : Computers
Total pages :398
GET BOOK

Data Simplification: Taming Information With Open Source Tools addresses the simple fact that modern data is too big and complex to analyze in its native form. Data simplification is the process whereby large and complex data is rendered usable. Complex data must be simplified before it can be analyzed, but the process of data simplification is anything but simple, requiring a specialized set of skills and tools. This book provides data scientists from every scientific discipline with the methods and tools to simplify their data for immediate analysis or long-term storage in a form that can be readily repurposed or integrated with other data. Drawing upon years of practical experience, and using numerous examples and use cases, Jules Berman discusses the principles, methods, and tools that must be studied and mastered to achieve data simplification, open source tools, free utilities and snippets of code that can be reused and repurposed to simplify data, natural language processing and machine translation as a tool to simplify data, and data summarization and visualization and the role they play in making data useful for the end user. Discusses data simplification principles, methods, and tools that must be studied and mastered Provides open source tools, free utilities, and snippets of code that can be reused and repurposed to simplify data Explains how to best utilize indexes to search, retrieve, and analyze textual data Shows the data scientist how to apply ontologies, classifications, classes, properties, and instances to data using tried and true methods

Principles and Practice of Big Data

Principles and Practice of Big Data
Author : Jules J Berman
Publisher : Academic Press
Release Date : 2018-07-23
Category : Computers
Total pages :480
GET BOOK

Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on large, complex data sets can be achieved without the use of specialized suites of software (e.g., Hadoop), and without expensive hardware (e.g., supercomputers). The core of every algorithm described in the book can be implemented in a few lines of code using just about any popular programming language (Python snippets are provided). Through the use of new multiple examples, this edition demonstrates that if we understand our data, and if we know how to ask the right questions, we can learn a great deal from large and complex data collections. The book will assist students and professionals from all scientific backgrounds who are interested in stepping outside the traditional boundaries of their chosen academic disciplines. Presents new methodologies that are widely applicable to just about any project involving large and complex datasets Offers readers informative new case studies across a range scientific and engineering disciplines Provides insights into semantics, identification, de-identification, vulnerabilities and regulatory/legal issues Utilizes a combination of pseudocode and very short snippets of Python code to show readers how they may develop their own projects without downloading or learning new software

Informationweek

Informationweek
Author : Anonim
Publisher : Unknown
Release Date : 1999
Category : Computer service industry
Total pages :129
GET BOOK

10th Working Conference on Reverse Engineering

10th Working Conference on Reverse Engineering
Author : Arie Deursen,Eleni Stroulia,Margaret-Anne Storey
Publisher : IEEE
Release Date : 2003
Category : Technology & Engineering
Total pages :372
GET BOOK

The 35 papers in WCRE 2003 reflect the state-of-the-art in software reverse engineering. Reverse engineering examines existing software assets and infers knowledge regarding their code structure, architecture design and development process. Such knowledge is invaluable in the process of maintaining, evolving and otherwise reusing existing software. Equally important, this process enables the consolidation of experiences into "lessons learned" that can shape new software-development practices.

Data Quality

Data Quality
Author : Jack E. Olson
Publisher : Morgan Kaufmann
Release Date : 2003-01-09
Category : Computers
Total pages :300
GET BOOK

Data Quality: The Accuracy Dimension is about assessing the quality of corporate data and improving its accuracy using the data profiling method. Corporate data is increasingly important as companies continue to find new ways to use it. Likewise, improving the accuracy of data in information systems is fast becoming a major goal as companies realize how much it affects their bottom line. Data profiling is a new technology that supports and enhances the accuracy of databases throughout major IT shops. Jack Olson explains data profiling and shows how it fits into the larger picture of data quality. * Provides an accessible, enjoyable introduction to the subject of data accuracy, peppered with real-world anecdotes. * Provides a framework for data profiling with a discussion of analytical tools appropriate for assessing data accuracy. * Is written by one of the original developers of data profiling technology. * Is a must-read for any data management staff, IT management staff, and CIOs of companies with data assets.

E-Business

E-Business
Author : M. Papazoglou,Pieter Ribbers,Pieter M. A. Ribbers
Publisher : John Wiley & Sons Incorporated
Release Date : 2006-04-14
Category : Business & Economics
Total pages :722
GET BOOK

e-business inextricably aligns technological advances with business models, business repurposing efforts and organizational structures in order to support end-to-end business processes that span the boundaries of the extended enterprise value chain. Using lots of real-world examples, this incisive guide helps people understand the theory and practice of e-business today Offers a thorough examination of the relationship of e-business to business strategy, from business models, supply chains and integrated value chains to governance structures Covers key topics that businesses need to consider with designing an e-business strategy, from XML and business processes to electronic intermediaries and markets, e-procurement and e-business networks Provides a complete overview of the technical foundations of e-business, with discussions of security, middleware, component-based development, legacy applications, enterprise application integration, web services and business protocols

Programming the Web Using XML

Programming the Web Using XML
Author : Ellen Pearlman,Eileen Mullin
Publisher : McGraw-Hill
Release Date : 2004
Category : Computers
Total pages :390
GET BOOK

Compares HTML, XHTML, and XML, and includes examples of how XML is being used to help readers appreciate the power of XML. This text also provides a coverage of the rules and standards for XML, which is very critical in programming XML. It is designed to help those who have a background in HTML make the transition to XML.

SOA and Web Services Interface Design

SOA and Web Services Interface Design
Author : James Bean
Publisher : Morgan Kaufmann
Release Date : 2009-09-25
Category : Computers
Total pages :384
GET BOOK

In SOA and Web Services Interface Design, data architecture guru James Bean teaches you how to design web service interfaces that are capable of being extended to accommodate ever changing business needs and promote incorporation simplicity. The book first provides an overview of critical SOA principles, thereby offering a basic conceptual summary. It then provides explicit, tactical, and real-world techniques for ensuring compliance with these principles. Using a focused, tutorial-based approach the book provides working syntactical examples - described by Web services standards such as XML, XML Schemas, WSDL and SOAP - that can be used to directly implement interface design procedures, thus allowing you immediately generate value from your efforts. In summary, SOA and Web Services Interface Design provides the basic theory, but also design techniques and very specific implementable encoded interface examples that can be immediately employed in your work, making it an invaluable practical guide to any practitioner in today's exploding Web-based service market. Provides chapters on topics of introductory WSDL syntax and XML Schema syntax, taking take the reader through fundamental concepts and into deeper techniques and allowing them to quickly climb the learning curve. Provides working syntactical examples - described by Web services standards such as XML, XML Schemas, WSDL and SOAP - that can be used to directly implement interface design procedures. Real-world examples generated using the Altova XML Spy tooling reinforce applicability, allowing you to immediately generate value from their efforts.

Principles of Big Data

Principles of Big Data
Author : Jules J. Berman
Publisher : Newnes
Release Date : 2013-05-20
Category : Computers
Total pages :288
GET BOOK

Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators. Learn general methods for specifying Big Data in a way that is understandable to humans and to computers Avoid the pitfalls in Big Data design and analysis Understand how to create and use Big Data safely and responsibly with a set of laws, regulations and ethical standards that apply to the acquisition, distribution and integration of Big Data resources

Databasing the Brain

Databasing the Brain
Author : Steven H. Koslow,Shankar Subramaniam
Publisher : John Wiley & Sons Incorporated
Release Date : 2005-03-10
Category : Medical
Total pages :466
GET BOOK

Expertly edited by two pioneers in this burgeoning field, this book covers both basic principles and specific applications across a range of problems in brain research. It truly integrates neuroscience with informatics, providing a means for understanding the new analytical tools and models of neuronal functions now being developed. Each chapter offers practical guidance for applying this knowledge to current research, enhancing electronic collaborations, and formulating hypotheses. Prize or Award AAP Awards for Excellence in Professional and Scholarly Publishing, 2006

Imaging & Document Solutions

Imaging & Document Solutions
Author : Anonim
Publisher : Unknown
Release Date : 1999
Category : Computer graphics
Total pages :129
GET BOOK

E-doc

E-doc
Author : Anonim
Publisher : Unknown
Release Date : 2005
Category : Business records
Total pages :129
GET BOOK