Repurposing Legacy Data Book

Repurposing Legacy Data


  • Author : Jules J. Berman
  • Publisher : Elsevier
  • Release Date : 2015-03-13
  • Genre: Computers
  • Pages : 176
  • ISBN 10 : 9780128029152

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Repurposing Legacy Data Excerpt :

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 Book

More Technology for the Rest of Us


  • Author : Nancy Courtney
  • Publisher : ABC-CLIO
  • Release Date : 2010
  • Genre: Language Arts & Disciplines
  • Pages : 172
  • ISBN 10 : 9781591589396

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More Technology for the Rest of Us Excerpt :

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

The Craft of Qualitative Longitudinal Research Book

The Craft of Qualitative Longitudinal Research


  • Author : Bren Neale
  • Publisher : SAGE
  • Release Date : 2021-03-17
  • Genre: Social Science
  • Pages : 388
  • ISBN 10 : 9781526455154

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The Craft of Qualitative Longitudinal Research Excerpt :

Brimming with life maps, life history calendars, and extracts from transcripts and diaries, this book illustrates by example the unique principles, challenges, and applications of qualitative longitudinal research. Synthesizing current literature on qualitative longitudinal research, it brings together sociological theory and empirically driven longitudinal studies while also highlighting a range of possible research approaches. With a consistent balance of conceptual discussions with hands-on advice, it provides readers with the foundation to adapt lessons-learned from other researchers to fit their own qualitative longitudinal studies. Supported by research tools such as conceptual road maps, short data extracts, consent forms, and other data organization tools, this book provides everything postgraduate researchers need to transition from the classroom to the field.

Logic and Critical Thinking in the Biomedical Sciences Book

Logic and Critical Thinking in the Biomedical Sciences


  • Author : Jules J. Berman
  • Publisher : Academic Press
  • Release Date : 2020-07-08
  • Genre: Business & Economics
  • Pages : 290
  • ISBN 10 : 9780128213629

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Logic and Critical Thinking in the Biomedical Sciences Excerpt :

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

Principles and Practice of Big Data Book

Principles and Practice of Big Data


  • Author : Jules J Berman
  • Publisher : Academic Press
  • Release Date : 2018-07-23
  • Genre: Computers
  • Pages : 480
  • ISBN 10 : 9780128156100

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Principles and Practice of Big Data Excerpt :

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

Evolution s Clinical Guidebook Book

Evolution s Clinical Guidebook


  • Author : Jules J. Berman
  • Publisher : Academic Press
  • Release Date : 2019-04-25
  • Genre: Science
  • Pages : 357
  • ISBN 10 : 9780128171271

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Evolution s Clinical Guidebook Excerpt :

Evolution's Clinical Guidebook: Translating Ancient Genes into Precision Medicine demonstrates, through well-documented examples, how an understanding of the phylogenetic ancestry of humans allows us to make sense out of the flood of genetic data streaming from modern laboratories and how it can lead us to new ways to prevent, diagnose and treat diseases. Topics cover evolution and human genome, meiosis and other recombinants events, embryology, speciation, phylogeny, rare and common diseases, and the evolution of aging. This book is a valuable source for bioinformaticians and those in the biomedical field who need knowledge, down to gene level, to fully comprehend currently available data. Offers an innovative approach, focusing on how disease-associated pathways evolved Explains how the fields of phylogeny and embryology have become closely tied to the fields of genetics and bioinformatics Demonstrates how students and biomedical professionals can apply the knowledge obtained in this book to the theory and practice of precision medicine

Data Simplification Book

Data Simplification


  • Author : Jules J. Berman
  • Publisher : Morgan Kaufmann
  • Release Date : 2016-03-10
  • Genre: Computers
  • Pages : 398
  • ISBN 10 : 9780128038543

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Data Simplification Excerpt :

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

Taxonomic Guide to Infectious Diseases Book

Taxonomic Guide to Infectious Diseases


  • Author : Jules J. Berman
  • Publisher : Academic Press
  • Release Date : 2019-05-31
  • Genre: Medical
  • Pages : 399
  • ISBN 10 : 9780128175774

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Taxonomic Guide to Infectious Diseases Excerpt :

Taxonomic Guide to Infectious Diseases: Understanding the Biologic Classes of Pathogenic Organisms, Second Edition tackles the complexity of clinical microbiology by assigning every infectious organism to one of 40+ taxonomic classes and providing a description of the defining traits that apply to all the organisms within each class. This edition is an updated, revised and greatly expanded guide to the classes of organisms that infect humans. This book will provide students and clinicians alike with a simplified way to understand the complex fields of clinical microbiology and parasitology. Focuses on human disease processes and includes numerous clinical tips for healthcare providers Describes the principles of classification and explains why the science of taxonomy is vital to the fields of bioinformatics and modern disease research Provides images of prototypical organisms for taxonomic classes Includes a section that lists common taxonomic pitfalls and how they can be avoided

Digital Oil Book

Digital Oil


  • Author : Eric Monteiro
  • Publisher : MIT Press
  • Release Date : 2022-11-08
  • Genre: Technology & Engineering
  • Pages : 229
  • ISBN 10 : 9780262372299

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Digital Oil Excerpt :

How is digitalization of the offshore oil industry fundamentally changing how we understand work and ways of knowing? Digitalization sits at the forefront of public and academic conversation today, calling into question how we work and how we know. In Digital Oil, Eric Monteiro uses the Norwegian offshore oil and gas industry as a lens to investigate the effects of digitalization on embodied labor, and in doing so shows how our use of new digital technology transforms work and knowing. For years, roughnecks have performed the dangerous and unwieldy work of extracting the oil that lies three miles below the seabed along the Norwegian Continental Shelf. Today, the Norwegian oil industry is largely digital, operated by sensors and driven by data. Digital representations of physical processes inform work practices and decision-making with remotely operated, unmanned deep-sea facilities. Drawing on two decades of in-depth interviews, observations, news clips, and studies of this industry, Eric Monteiro dismantles the divide between the virtual and the physical in Digital Oil. What is gained or lost when objects and processes become algorithmic phenomena with the digital inferred from the physical? How can data-driven work practices and operational decision-making approximate qualitative interpretation, professional judgement, and evaluation? How are emergent digital platforms and infrastructures, as machineries of knowing, enabling digitalization? In answering these questions Monteiro offers a novel analysis of digitalization as an effort to press the limits of quantification of the qualitative.

Classification Made Relevant Book

Classification Made Relevant


  • Author : Jules J. Berman
  • Publisher : Academic Press
  • Release Date : 2022-01-25
  • Genre: Computers
  • Pages : 444
  • ISBN 10 : 9780323972581

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Classification Made Relevant Excerpt :

Classification Made Relevant explains how classifications and ontologies are designed, and how they are used to analyze scientific information. It is through our description of the relationships among classes of objects that we are able to simplify knowledge and explore the ways in which individual classified objects behave. The book begins by describing the fundamentals of classification and leads up to a description of how computer scientists use object-oriented programming languages to model classifications and ontologies. Numerous examples are chosen from the Classification of Life, the Periodic Table of the Elements, and the symmetry relationships contained within the Classification Theorem of Finite Simple Groups. When these three classifications are tied together, they provide a relational hierarchy connecting all of the natural sciences. This book is intended to reach a multidisciplinary audience of students and professionals working in the data sciences, the library sciences, and all of the STEM sciences. The chapters introduce and describe general concepts that can be understood by any intelligent reader. With each new concept, there follow practical examples selected from various scientific disciplines. In these cases, technical points and specialized vocabulary are linked to glossary items, where the item is clarified and expanded. Technical terms in the data sciences often have different meanings, depending on the reader's specific discipline. The word “ontology has so many meanings, it has become meaningless. Skeptics can google on the word “ontology to quickly confirm the inchoate status of this subject. In such cases, the glossary describes the different way the term has been used and will clarify its meaning within the book's context. For the benefit of computer scientists, the glossary contains short scripts written in Perl or Python or Ruby. Non-programmers will be spared from reading computer code, without missing out on the concepts covered

Precision Medicine and the Reinvention of Human Disease Book

Precision Medicine and the Reinvention of Human Disease


  • Author : Jules J. Berman
  • Publisher : Academic Press
  • Release Date : 2018-01-26
  • Genre: Business & Economics
  • Pages : 398
  • ISBN 10 : 9780128143940

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Precision Medicine and the Reinvention of Human Disease Excerpt :

Despite what you may have read in the popular press and in social media, Precision Medicine is not devoted to finding unique treatments for individuals, based on analyzing their DNA. To the contrary, the goal of Precision Medicine is to find general treatments that are highly effective for large numbers of individuals who fall into precisely diagnosed groups. We now know that every disease develops over time, through a sequence of defined biological steps, and that these steps may differ among individuals, based on genetic and environmental conditions. We are currently developing rational therapies and preventive measures, based on our precise understanding of the steps leading to the clinical expression of diseases. Precision Medicine and the Reinvention of Human Disease explains the scientific breakthroughs that have changed the way that we understand diseases, and reveals how medical scientists are using this new knowledge to launch a medical revolution. Clarifies the foundational concepts of Precision Medicine, distinguishing this field from its predecessors such as genomics, pharmacogenetics, and personalized medicine. Gathers the chief conceptual advances in the fields of genetics, pathology, and bioinformatics, and synthesizes a coherent narrative for the field of Precision Medicine. Delivers its message in plain language, and in a relaxed, conversational writing style, making it easy to understand the complex subject matter. Guides the reader through a coherent and logical narrative, gradually providing expertise and skills along the way. Covers the importance of data sharing in Precision Medicine, and the many data-related challenges that confront this fragile new field.

Routledge Handbook of the Extractive Industries and Sustainable Development Book

Routledge Handbook of the Extractive Industries and Sustainable Development


  • Author : Natalia Yakovleva
  • Publisher : Routledge
  • Release Date : 2022-05-30
  • Genre: Technology & Engineering
  • Pages : 704
  • ISBN 10 : 9781000579161

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Routledge Handbook of the Extractive Industries and Sustainable Development Excerpt :

The Routledge Handbook of the Extractive Industries and Sustainable Development provides a cutting-edge, comprehensive overview of current trends, challenges and opportunities for metal and mineral production and use, in the context of climate change and the United Nations Sustainable Development Agenda 2030. Minerals and metals are used throughout the world in manufacturing, construction, infrastructure, production of electronics and consumer goods. Alongside this widespread use, extraction and processing of mineral resources take place in almost every nation at varying scales, both in developing countries and major developed nations. The chapters in this interdisciplinary handbook examine the international governance mechanisms regulating social, environmental and economic implications of mineral resource extraction and use. The original contributions, from a range of scholars, examine the relevance of the mining industry to the United Nations Sustainable Development Goals (SDGs), reviewing important themes such as local communities Indigenous peoples, gender equality and fair trade, showing how mining can influence global sustainable development. The chapters are organised into three sections: Global Trends in Mineral Resources Consumption and Production; Technology, Minerals and Sustainable Development; and Management of Social, Environmental and Economic Issues in the Mining Industry. This handbook will serve as an important resource for students and researchers of geology, geography, earth science, environmental studies, engineering, international development, sustainable development and business management, among others. It will also be of interest to professionals in governmental, international and non-governmental organisations that are working on issues of resource governance, environmental protection and social justice.

Machine Learning Applications in Subsurface Energy Resource Management Book

Machine Learning Applications in Subsurface Energy Resource Management


  • Author : Srikanta Mishra
  • Publisher : CRC Press
  • Release Date : 2022-12-27
  • Genre: Technology & Engineering
  • Pages : 379
  • ISBN 10 : 9781000823875

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Machine Learning Applications in Subsurface Energy Resource Management Excerpt :

The utilization of machine learning (ML) techniques to understand hidden patterns and build data-driven predictive models from complex multivariate datasets is rapidly increasing in many applied science and engineering disciplines, including geo-energy. Motivated by these developments, Machine Learning Applications in Subsurface Energy Resource Management presents a current snapshot of the state of the art and future outlook for ML applications to manage subsurface energy resources (e.g., oil and gas, geologic carbon sequestration, and geothermal energy). Covers ML applications across multiple application domains (reservoir characterization, drilling, production, reservoir modeling, and predictive maintenance) Offers a variety of perspectives from authors representing operating companies, universities, and research organizations Provides an array of case studies illustrating the latest applications of several ML techniques Includes a literature review and future outlook for each application domain This book is targeted at practicing petroleum engineers or geoscientists interested in developing a broad understanding of ML applications across several subsurface domains. It is also aimed as a supplementary reading for graduate-level courses and will also appeal to professionals and researchers working with hydrogeology and nuclear waste disposal.

Wireless Internet Applications and Architecture Book

Wireless Internet Applications and Architecture


  • Author : Mark Beaulieu
  • Publisher : Addison-Wesley Professional
  • Release Date : 2002
  • Genre: Computers
  • Pages : 658
  • ISBN 10 : 9780201733549

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Wireless Internet Applications and Architecture Excerpt :

This guide for developers and architects presents a technical overview of wireless Internet technology, applications, and content issues. The text begins with a discussion of basic wireless concepts and technological trends. Next, the construction of messaging, browsing, and interactive and conversational voice portal applications is described. The final section is devoted to the architecture of the wireless Internet. Coverage extends to a discussion of mCommerce servers. Annotation copyrighted by Book News Inc., Portland, OR.

The Digital Humanities Coursebook Book

The Digital Humanities Coursebook


  • Author : Johanna Drucker
  • Publisher : Routledge
  • Release Date : 2021-03-25
  • Genre: Language Arts & Disciplines
  • Pages : 238
  • ISBN 10 : 9781000364514

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The Digital Humanities Coursebook Excerpt :

The Digital Humanities Coursebook provides critical frameworks for the application of digital humanities tools and platforms, which have become an integral part of work across a wide range of disciplines. Written by an expert with twenty years of experience in this field, the book is focused on the principles and fundamental concepts for application, rather than on specific tools or platforms. Each chapter contains examples of projects, tools, or platforms that demonstrate these principles in action. The book is structured to complement courses on digital humanities and provides a series of modules, each of which is organized around a set of concerns and topics, thought experiments and questions, as well as specific discussions of the ways in which tools and platforms work. The book covers a wide range of topics and clearly details how to integrate the acquisition of expertise in data, metadata, classification, interface, visualization, network analysis, topic modeling, data mining, mapping, and web presentation with issues in intellectual property, sustainability, privacy, and the ethical use of information. Written in an accessible and engaging manner, The Digital Humanities Coursebook will be a useful guide for anyone teaching or studying a course in the areas of digital humanities, library and information science, English, or computer science. The book will provide a framework for direct engagement with digital humanities and, as such, should be of interest to others working across the humanities as well.