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Author: Hiroshi Ishikawa
Publisher: Springer Nature
ISBN: 3031435400
Category : Computers
Languages : en
Pages : 380
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Book Description
This book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of big data applications. The author uses patterns discovered in a collection of big data applications to provide design principles for hypothesis generation, integrating big data processing and management, machine learning and data mining techniques. The book proposes and explains innovative principles for interpreting hypotheses by integrating micro-explanations (those based on the explanation of analytical models and individual decisions within them) with macro-explanations (those based on applied processes and model generation). Practical case studies are used to demonstrate how hypothesis-generation and -interpretation technologies work. These are based on “social infrastructure” applications like in-bound tourism, disaster management, lunar and planetary exploration, and treatment of infectious diseases. The novel methods and technologies proposed in Hypothesis Generation and Interpretation are supported by the incorporation of historical perspectives on science and an emphasis on the origin and development of the ideas behind their design principles and patterns. Academic investigators and practitioners working on the further development and application of hypothesis generation and interpretation in big data computing, with backgrounds in data science and engineering, or the study of problem solving and scientific methods or who employ those ideas in fields like machine learning will find this book of considerable interest.
Author: Hiroshi Ishikawa
Publisher: Springer Nature
ISBN: 3031435400
Category : Computers
Languages : en
Pages : 380
Get Book Here
Book Description
This book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of big data applications. The author uses patterns discovered in a collection of big data applications to provide design principles for hypothesis generation, integrating big data processing and management, machine learning and data mining techniques. The book proposes and explains innovative principles for interpreting hypotheses by integrating micro-explanations (those based on the explanation of analytical models and individual decisions within them) with macro-explanations (those based on applied processes and model generation). Practical case studies are used to demonstrate how hypothesis-generation and -interpretation technologies work. These are based on “social infrastructure” applications like in-bound tourism, disaster management, lunar and planetary exploration, and treatment of infectious diseases. The novel methods and technologies proposed in Hypothesis Generation and Interpretation are supported by the incorporation of historical perspectives on science and an emphasis on the origin and development of the ideas behind their design principles and patterns. Academic investigators and practitioners working on the further development and application of hypothesis generation and interpretation in big data computing, with backgrounds in data science and engineering, or the study of problem solving and scientific methods or who employ those ideas in fields like machine learning will find this book of considerable interest.
Author: Deborah Elaine Simpson
Publisher:
ISBN:
Category :
Languages : en
Pages : 534
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Book Description
Author: Paul A. Thompson
Publisher:
ISBN:
Category : Hypothesis
Languages : en
Pages : 61
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Book Description
Author: Charles Francis McKeldin Gettys
Publisher:
ISBN:
Category : Decision making
Languages : en
Pages : 58
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Book Description
This project was devoted to a study of hypothesis generation. Hypothesis generation is the process by which the decision maker specifies possible hypotheses, or states of the world, that are relevant in a decision problem.
Author: Joy Higgs
Publisher: Elsevier Health Sciences
ISBN: 0750688858
Category : Medical
Languages : en
Pages : 518
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Book Description
Clinical reasoning is the foundation of professional clinical practice. Totally revised and updated, this book continues to provide the essential text on the theoretical basis of clinical reasoning in the health professions and examines strategies for assisting learners, scholars and clinicians develop their reasoning expertise. key chapters revised and updated nature of clinical reasoning sections have been expanded increase in emphasis on collaborative reasoning core model of clinical reasoning has been revised and updated
Author: Hermann Moisl
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110393174
Category : Language Arts & Disciplines
Languages : en
Pages : 319
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Book Description
The standard scientific methodology in linguistics is empirical testing of falsifiable hypotheses. As such the process of hypothesis generation is central, and involves formulation of a research question about a domain of interest and statement of a hypothesis relative to it. In corpus linguistics the domain is text, and generation involves abstraction of data from text, data analysis, and formulation of a hypothesis based on inference from the results. Traditionally this process has been paper-based, but the advent of electronic text has increasingly rendered it obsolete both because the size of digital corpora is now at or beyond the limit of what can efficiently be used in the traditional way, and because the complexity of data abstracted from them can be impenetrable to understanding. Linguists are increasingly turning to mathematical and statistical computational methods for help, and cluster analysis is such a method. It is used across the sciences for hypothesis generation by identification of structure in data which are too large or complex, or both, to be interpretable by direct inspection. This book aims to show how cluster analysis can be used for hypothesis generation in corpus linguistics, thereby contributing to a quantitative empirical methodology for the discipline.
Author: Nicholas David Lange
Publisher:
ISBN:
Category : Hypothesis
Languages : en
Pages : 272
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Book Description
Author: Hamid Laga
Publisher: John Wiley & Sons
ISBN: 1119405106
Category : Mathematics
Languages : en
Pages : 368
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Book Description
An in-depth description of the state-of-the-art of 3D shape analysis techniques and their applications This book discusses the different topics that come under the title of "3D shape analysis". It covers the theoretical foundations and the major solutions that have been presented in the literature. It also establishes links between solutions proposed by different communities that studied 3D shape, such as mathematics and statistics, medical imaging, computer vision, and computer graphics. The first part of 3D Shape Analysis: Fundamentals, Theory, and Applications provides a review of the background concepts such as methods for the acquisition and representation of 3D geometries, and the fundamentals of geometry and topology. It specifically covers stereo matching, structured light, and intrinsic vs. extrinsic properties of shape. Parts 2 and 3 present a range of mathematical and algorithmic tools (which are used for e.g., global descriptors, keypoint detectors, local feature descriptors, and algorithms) that are commonly used for the detection, registration, recognition, classification, and retrieval of 3D objects. Both also place strong emphasis on recent techniques motivated by the spread of commodity devices for 3D acquisition. Part 4 demonstrates the use of these techniques in a selection of 3D shape analysis applications. It covers 3D face recognition, object recognition in 3D scenes, and 3D shape retrieval. It also discusses examples of semantic applications and cross domain 3D retrieval, i.e. how to retrieve 3D models using various types of modalities, e.g. sketches and/or images. The book concludes with a summary of the main ideas and discussions of the future trends. 3D Shape Analysis: Fundamentals, Theory, and Applications is an excellent reference for graduate students, researchers, and professionals in different fields of mathematics, computer science, and engineering. It is also ideal for courses in computer vision and computer graphics, as well as for those seeking 3D industrial/commercial solutions.
Author: Sarah Miller Beebe
Publisher: CQ Press
ISBN: 1608716813
Category : Political Science
Languages : en
Pages : 281
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Book Description
This title contains 12 cases in intelligence analysis. It is part of a larger case archive of (initally) about 20 cases.
Author: Avijit Lahiri
Publisher: Avijit Lahiri
ISBN:
Category : Philosophy
Languages : en
Pages : 252
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Book Description
The book is an engaging discourse on a number of interesting and deep issues relating to how Science inquires into Nature. It constitutes a critique of the received view that objectivity and logic are the cornerstones of science, and emphasises the role of inductive inference, of which an essential feature is that, compared to its deductive counterpart, the correspondence between evidence and conclusion is not unique, and that it entails a fundamental element of choice or decision. Induction takes place in the mind of the individual and also in the collective mental process of a scientific community. More precisely, the process of inductive inference is essentially dependent on beliefs, tied to affect and emotions, mostly playing their role in a substratum of conscious, deductive activity. In this the scientific process, which involves induction and deduction in complementary roles, is seen to have deeply cognitive roots. Building around this basic perception and drawing from diverse current trends of research, the book adopts a naturalist approach to pose a critique of a widespread but naive version of scientific realism. The presentation is lucid, informal, and witty, mainly addressed to general readers, though the discourse is at once deep, intriguing and provoking wherein it will prove to be of value to specialists in the areas of philosophy of science and cognitive science.
