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Author: Scott Spangler
Publisher: CRC Press
ISBN: 1482239140
Category : Business & Economics
Languages : en
Pages : 304
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Book Description
Unstructured Mining Approaches to Solve Complex Scientific ProblemsAs the volume of scientific data and literature increases exponentially, scientists need more powerful tools and methods to process and synthesize information and to formulate new hypotheses that are most likely to be both true and important. Accelerating Discovery: Mining Unstructu
Author: Scott Spangler
Publisher: CRC Press
ISBN: 1482239140
Category : Business & Economics
Languages : en
Pages : 304
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Book Description
Unstructured Mining Approaches to Solve Complex Scientific ProblemsAs the volume of scientific data and literature increases exponentially, scientists need more powerful tools and methods to process and synthesize information and to formulate new hypotheses that are most likely to be both true and important. Accelerating Discovery: Mining Unstructu
Author: Anuj Karpatne
Publisher: CRC Press
ISBN: 1000598101
Category : Business & Economics
Languages : en
Pages : 442
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Book Description
Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks. This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing "data-only" or "scientific knowledge-only" methods to use knowledge and data at an equal footing. Indeed, KGML involves diverse scientific and ML communities, where researchers and practitioners from various backgrounds and application domains are continually adding richness to the problem formulations and research methods in this emerging field. Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data provides an introduction to this rapidly growing field by discussing some of the common themes of research in KGML using illustrative examples, case studies, and reviews from diverse application domains and research communities as book chapters by leading researchers. KEY FEATURES First-of-its-kind book in an emerging area of research that is gaining widespread attention in the scientific and data science fields Accessible to a broad audience in data science and scientific and engineering fields Provides a coherent organizational structure to the problem formulations and research methods in the emerging field of KGML using illustrative examples from diverse application domains Contains chapters by leading researchers, which illustrate the cutting-edge research trends, opportunities, and challenges in KGML research from multiple perspectives Enables cross-pollination of KGML problem formulations and research methods across disciplines Highlights critical gaps that require further investigation by the broader community of researchers and practitioners to realize the full potential of KGML
Author: Michael Nielsen
Publisher: Princeton University Press
ISBN: 0691202842
Category : Science
Languages : en
Pages : 272
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Book Description
"Reinventing Discovery argues that we are in the early days of the most dramatic change in how science is done in more than 300 years. This change is being driven by new online tools, which are transforming and radically accelerating scientific discovery"--
Author: Martin Braschler
Publisher: Springer
ISBN: 3030118215
Category : Computers
Languages : en
Pages : 464
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Book Description
This book has two main goals: to define data science through the work of data scientists and their results, namely data products, while simultaneously providing the reader with relevant lessons learned from applied data science projects at the intersection of academia and industry. As such, it is not a replacement for a classical textbook (i.e., it does not elaborate on fundamentals of methods and principles described elsewhere), but systematically highlights the connection between theory, on the one hand, and its application in specific use cases, on the other. With these goals in mind, the book is divided into three parts: Part I pays tribute to the interdisciplinary nature of data science and provides a common understanding of data science terminology for readers with different backgrounds. These six chapters are geared towards drawing a consistent picture of data science and were predominantly written by the editors themselves. Part II then broadens the spectrum by presenting views and insights from diverse authors – some from academia and some from industry, ranging from financial to health and from manufacturing to e-commerce. Each of these chapters describes a fundamental principle, method or tool in data science by analyzing specific use cases and drawing concrete conclusions from them. The case studies presented, and the methods and tools applied, represent the nuts and bolts of data science. Finally, Part III was again written from the perspective of the editors and summarizes the lessons learned that have been distilled from the case studies in Part II. The section can be viewed as a meta-study on data science across a broad range of domains, viewpoints and fields. Moreover, it provides answers to the question of what the mission-critical factors for success in different data science undertakings are. The book targets professionals as well as students of data science: first, practicing data scientists in industry and academia who want to broaden their scope and expand their knowledge by drawing on the authors’ combined experience. Second, decision makers in businesses who face the challenge of creating or implementing a data-driven strategy and who want to learn from success stories spanning a range of industries. Third, students of data science who want to understand both the theoretical and practical aspects of data science, vetted by real-world case studies at the intersection of academia and industry.
Author: Ulrich A.K. Betz
Publisher: Springer
ISBN: 3030160610
Category : Science
Languages : en
Pages : 160
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Book Description
This book expands the debate on the future of science and technology at the Curious2018 – Future Insight Conference, held on the occasion of Merck’s 350-year anniversary. In the respective chapters, some of the world’s top scientists, managers and entrepreneurs explore breakthrough technologies and how they can be applied to make a better world for humanity. Divided into three parts, the book begins with an introduction to the vision of the conference and to the importance of curiosity for innovation, while also exploring the latest scientific developments that are shaping the future of healthcare, medicine, the life and material sciences, digitalization and new ways of working together. In the second part, particular attention is paid to new therapies and diagnostics; here, readers will learn how synthetic biology and chemistry are being used to solve problems that are essential to the future of humanity. The role of in-silico research is also discussed. In the final part of the book, readers will find some thoughts on ethical principles guiding our application of science and technology to create a bright future for humanity. Given its interdisciplinary appeal, the book will inspire curiosity in a wide readership, from scholars and researchers to professionals with an interest in exploring the future of science and technology, solving the problems of today, and paving the way for a better tomorrow. Chapters 1, 2, 3 and 17 are available open access under a Creative Commons Attribution-NonCommercial 4.0 International License via link.springer.com.
Author: Tao Li
Publisher: CRC Press
ISBN: 1466568593
Category : Business & Economics
Languages : en
Pages : 340
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Book Description
With a focus on computing system management, this book presents a variety of event mining approaches for improving the quality and efficiency of IT service and system management. It covers different components in the data-driven framework, from system monitoring and event generation to pattern discovery and summarization. The book explores recent developments in event mining, such as new clustering-based approaches, as well as various applications of event mining, including social media.
Author: Mark I. Rees
Publisher: Academic Press
ISBN: 012394287X
Category : Science
Languages : en
Pages : 210
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Book Description
Published continuously since 1944, the Advances in Protein Chemistry and Structural Biology serial has been a continuous, essential resource for protein chemists. Covering reviews of methodology and research in all aspects of protein chemistry, including purification/expression, proteomics, modeling and structural determination and design, each volume brings forth new information about protocols and analysis of proteins while presenting the most recent findings from leading experts in a broad range of protein-related topics. This volume features articles on Challenges and Opportunities of Next-Generation Sequencing for Biomedical Research. Covers reviews of methodology and research in all aspects of protein chemistry Brings forth new information about protocols and analysis of proteins while presenting the most recent findings from leading experts in a broad range of protein-related topics
Author: Robert S. Wallerstein
Publisher: Routledge
ISBN: 1135829209
Category : Psychology
Languages : en
Pages : 529
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Book Description
Lay Analysis: Life Inside the Controversy chronicles the history of nonmedical analysis in absorbing detail. It begins with the events of 1910 in Europe and America that initiated their divergent attitudes and policies regarding lay analysis, proceeds to the unfolding struggles over this issue on both sides of the Atlantic, and reviews the halting efforts of the APsaA, beginning in the 1950s, to reassess its opposition to lay analysis and make some provision for the training of nonmedical practitioners. Wallerstein's illuminating treatment of the response of American nonphysician therapists to the APsaA's policy - the manner in which they managed to obtain clinical psychoanalytic training despite the APsaA's prohibition - forms a fascinating story within his grand narrative. The book culminates in a comprehensive review of the lawsuit of March 1985 in which four clinical psychologists, representing a stated class of several thousand colleagues and fully supported by the American Psychological Association, brought suit against the APsaA and IPA, hoping in this way to force a change in the APsaA's policies regarding the training of lay practitioners. Wallerstein, drawing on the voluminous documentation to which he had full access - memoranda, correspondence, depositions, legal briefs, and phone conversations - reviews the three-and-a-half-year history of the lawsuit. He concludes his narrative with a measured and thoughtful assessment of the impact of the settlement on psychoanalysis today: the changes it has brought about within organized psychoanalysis and the meaning of those changes for psychoanalysis as a discipline. Given Wallerstein's comprehensive scholarship, his admirable even-handedness, and his unique participatory role in the lay analysis controversy over the course of his career, it is unsurprising that Lay Analysis: Life Inside the Controversy should achieve distinction as a major contribution to the institutional history of psychoanalysis.
Author: Markus Hofmann
Publisher: CRC Press
ISBN: 148223758X
Category : Business & Economics
Languages : en
Pages : 337
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Book Description
Text Mining and Visualization: Case Studies Using Open-Source Tools provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python. The contributors-all highly experienced with text mining and open-source software-explain how text data are gathered and processed from a w
Author: M. Anusuya
Publisher: CRC Press
ISBN: 104012108X
Category : Science
Languages : en
Pages : 427
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Book Description
This book provides a comprehensive review of nanomaterials, including essential foundational examples of nanosensors, smart nanomaterials, nanopolymers, and nanotubes. Chapters cover their synthesis and characteristics, production methods, and applications, with specific sections exploring nanoelectronics and electro-optic nanotechnology, nanostructures, and nanodevices. This book is a valuable resource for interdisciplinary researchers who want to learn more about the synthesis of nanomaterials and how they are used in different types of energy storage devices, including supercapacitors, batteries, fuel cells solar cells in addition to electrical, chemical, and biomedical engineering. Key Features: Comprehensive overview of how nanomaterials can be utilised in a variety of interdisciplinary applications Explores the fundamental theories, alongside their electrochemical mechanisms and computation Discusses recent developments in electrode designing based on nanomaterials, separators, and the fabrication of advanced devices and their performances
