Products related to Classification:
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VARIATION CLASSIFICATION
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Information Technology Security and Risk Management : Inductive Cases for Information Security
Information Technology Security and Risk Management: Inductive Cases for Information Security is a compilation of cases that examine recent developments and issues that are relevant to IT security managers, risk assessment and management, and the broader topic of IT security in the 21st century.As the title indicates, the cases are written and analyzed inductively, which is to say that the authors allowed the cases to speak for themselves, and lead where they would, rather than approach the cases with presuppositions or assumptions regarding what the case should be "about".In other words, the authors were given broad discretion to interpret a case in the most interesting and relevant manner possible; any given case may be "about" many things, depending on the perspective adopted by the reader, and many different lessons may be learned.The inductive approach of these cases reflects the design philosophy of the advanced IT Security and Risk Management course we teach on the topic here at the University of Canterbury, where all discussions begin with the analysis of a specific case of interest and follow the most interesting and salient aspects of the case in evidence.In our course, the presentation, analysis, and discussion of a case are followed by a brief lecture to address the conceptual, theoretical, and scholarly dimensions arising from the case.The inductive approach to teaching and learning also comes with a huge advantage – the students seem to love it, and often express their appreciation for a fresh and engaging approach to learning the sometimes-highly-technical content of an IT security course.As instructors, we are also grateful for the break in the typical scripted "chalk-and-talk" of a university lecture afforded by the spontaneity of the inductive approach. We were motivated to prepare this text because there seems to be no other book of cases dedicated to the topic of IT security and risk management, and because of our own success and satisfaction with inductive teaching and learning.We believe this book would be useful either for an inductive, case-based course like our own or as a body of cases to be discussed in a more traditional course with a deductive approach.There are abstracts and keywords for each case, which would help instructors select cases for discussions on specific topics, and PowerPoint slides are available as a guide for discussion about a given case.
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Modern Cryptography : Applied Mathematics for Encryption and Information Security
This expanded textbook, now in its second edition, is a practical yet in depth guide to cryptography and its principles and practices.Now featuring a new section on quantum resistant cryptography in addition to expanded and revised content throughout, the book continues to place cryptography in real-world security situations using the hands-on information contained throughout the chapters.Prolific author Dr. Chuck Easttom lays out essential math skills and fully explains how to implement cryptographic algorithms in today's data protection landscape.Readers learn and test out how to use ciphers and hashes, generate random keys, handle VPN and Wi-Fi security, and encrypt VoIP, Email, and Web communications.The book also covers cryptanalysis, steganography, and cryptographic backdoors and includes a description of quantum computing and its impact on cryptography.This book is meant for those without a strong mathematics background with only just enough math to understand the algorithms given.The book contains a slide presentation, questions and answers, and exercises throughout. Presents new and updated coverage of cryptography including new content on quantum resistant cryptography;Covers the basic math needed for cryptography - number theory, discrete math, and algebra (abstract and linear);Includes a full suite of classroom materials including exercises, Q&A, and examples.
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Fundamentals of Image Data Mining : Analysis, Features, Classification and Retrieval
This unique and useful textbook presents a comprehensive review of the essentials of image data mining, and the latest cutting-edge techniques used in the field.The coverage spans all aspects of image analysis and understanding, offering deep insights into areas of feature extraction, machine learning, and image retrieval.The theoretical coverage is supported by practical mathematical models and algorithms, utilizing data from real-world examples and experiments. Topics and features: Describes essential tools for image mining, covering Fourier transforms, Gabor filters, and contemporary wavelet transformsDevelops many new exercises (most with MATLAB code and instructions)Includes review summaries at the end of each chapterAnalyses state-of-the-art models, algorithms, and procedures for image miningIntegrates new sections on pre-processing, discrete cosine transform, and statistical inference and testingDemonstrates how features like color, texture, and shape can be mined or extracted for image representationApplies powerful classification approaches: Bayesian classification, support vector machines, neural networks, and decision treesImplements imaging techniques for indexing, ranking, and presentation, as well as database visualization This easy-to-follow, award-winning book illuminates how concepts from fundamental and advanced mathematics can be applied to solve a broad range of image data mining problems encountered by students and researchers of computer science.Students of mathematics and other scientific disciplines will also benefit from the applications and solutions described in the text, together with the hands-on exercises that enable the reader to gain first-hand experience of computing.
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Why is classification so important?
Classification is important because it helps organize and make sense of large amounts of data. It allows for easier retrieval and analysis of information, leading to better decision-making. Classification also helps in identifying patterns and relationships within data, which can be used for prediction and forecasting. Overall, classification is a fundamental tool in various fields such as science, business, and technology for efficient data management and knowledge discovery.
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What classification does the Volksbank have?
The Volksbank is classified as a cooperative bank. This means that it is owned and operated by its members, who are also its customers. Cooperative banks like Volksbank are focused on providing financial services to their members and supporting the local community. They operate under the principle of "one member, one vote," giving each member an equal say in the bank's decision-making processes.
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Is the classification of epochs meaningful?
The classification of epochs can be meaningful in certain contexts. For example, in geology, epochs are used to categorize and study different periods of time based on significant changes in the Earth's environment and life forms. This classification helps scientists understand the history and evolution of the planet. However, in other fields such as history or anthropology, the classification of epochs may be more subjective and open to interpretation, as it often depends on the specific criteria and perspectives of the researchers. Therefore, the meaningfulness of epoch classification can vary depending on the discipline and the specific context in which it is being used.
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How would you evaluate this classification?
This classification can be evaluated based on its accuracy, precision, recall, and F1 score. Accuracy measures the overall correctness of the classification, precision measures the proportion of correctly predicted positive cases out of all predicted positive cases, recall measures the proportion of correctly predicted positive cases out of all actual positive cases, and the F1 score is the harmonic mean of precision and recall. By analyzing these metrics, we can determine the effectiveness of the classification model in correctly identifying the different classes.
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Nursing Interventions Classification (NIC)
Select nursing interventions with the book that standardizes nursing language!Nursing Interventions Classification (NIC), 8th Edition provides a research-based clinical tool to help you choose appropriate interventions.It standardizes and defines the knowledge base for nursing practice as it communicates the nature of nursing.More than 610 nursing interventions are described - from general practice to all specialty areas.From an expert author team led by Cheryl Wagner, this book is an ideal tool for practicing nurses and nursing students, educators seeking to enhance nursing curricula, and nursing administrators seeking to improve patient care.It's the only comprehensive taxonomy of nursing-sensitive interventions available! 614 research-based nursing intervention labels - with 60 new to this edition - are included, along with specific activities used to carry out interventions. Specialty core interventions are provided for 57 specialties. Descriptions of each intervention include a definition, a list of activities, a publication facts line, and references. NEW! 60 interventions are added to this edition, including several related to the care of patients with COVID considerations. UPDATED! Approximately 220 existing interventions have been revised.
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DSM-5-TR® Classification
This handy DSM-5-TR Classification provides a ready reference to the DSM-5-TR classification of disorders, as well as the DSM-5-TR listings of ICD-10-CM codes for all DSM-5-TR diagnoses.This book does not include the diagnostic criteria so this book can be used in tandem with DSM-5-TR or the Desk Reference to the Diagnostic Criteria From DSM-5-TR.The DSM-5-TR Classification makes accessing the proper diagnostic codes quick and convenient. This resource provides quick access to the following: • The DSM-5-TR classification of disorders, presented in the same sequence as in DSM-5-TR with ICD-10-CM codes.All subtypes and specifiers for each DSM-5-TR disorder are included. • An alphabetical listing of all DSM-5-TR diagnoses with their associated ICD-10-CM codes. • Separate numerical listings according to the ICD-10-CM codes for each DSM-5-TR diagnosis. • For all listings, any codable subtypes and specifiers are included with their corresponding ICD-10-CM codes, if applicable. The easy-to-use format will prove indispensable to a diverse audience—clinicians in a variety of fields, including psychiatry, primary care medicine, and psychology; coders working in medical centers and clinics; insurance companies processing benefit claims; individuals conducting utilization or quality assurance reviews of specific cases; and community mental health organizations at the state or county level.
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Biological Classification : A Philosophical Introduction
Modern biological classification is based on the system developed by Linnaeus, and interpreted by Darwin as representing the tree of life.But despite its widespread acceptance, the evolutionary interpretation has some problems and limitations.This comprehensive book provides a single resource for understanding all the main philosophical issues and controversies about biological classification.It surveys the history of biological classification from Aristotle to contemporary phylogenetics and shows how modern biological classification has developed and changed over time.Readers will also be able to see how biological classification is in part a consequence of human psychology, language development and culture.The book will be valuable for student readers and others interested in a range of topics in philosophy and biology.
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TNM Classification of Malignant Tumours
TNM Classification of Malignant Tumours eighth edition provides the latest, internationally agreed-upon standards to describe and categorize cancer stage. Published in affiliation with the Union for International Cancer Control (UICC)Arranged by anatomical region, this authoritative pocket sized guide contains many important updated organ-specific classificationsThere are new classifications for p16 positive oropharyngeal carcinomas, carcinomas of the thymus, neuroendocrine tumours of the pancreas, and sarcomasTo facilitate the collection of stage data for cancer surveillance in low and middle income countries there are new sections on Essential TNM and Paediatric Cancer StageNew colour presentation TNM Classification of Malignant Tumours, 8th edition is available as an app for iOS and Android.This Wiley app-book is developed by MedHand Mobile Libraries.Improve your performance with relevant, valid material which is accessed quickly and with minimal effort in the palm of your hand using MedHand's patented technology.
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How is the racial classification done?
Racial classification is typically done based on physical characteristics such as skin color, facial features, and hair texture. This classification is often subjective and can vary across different cultures and societies. In some cases, racial classification is also based on ancestry and heritage, using factors such as family history and genealogy. However, it's important to note that racial classification is a social construct and does not have a scientific basis.
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Why is there a classification of sexualities?
The classification of sexualities exists to help individuals understand and identify their own sexual orientation and preferences. It also serves as a way to acknowledge and validate the diverse range of sexual orientations and identities that exist within society. By having classifications, it allows for better representation and recognition of different sexual orientations, and helps to promote inclusivity and understanding within the broader community. Additionally, it can also aid in providing support and resources for individuals who may be struggling with their sexual identity.
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Why is the classification into epochs meaningful?
The classification into epochs is meaningful because it allows us to understand and study the Earth's history in a systematic way. By dividing the Earth's history into distinct epochs, we can identify and study the major geological and biological events that occurred during each period. This classification also helps us to compare and contrast different epochs, and to track the changes in the Earth's environment and life forms over time. Additionally, it provides a framework for organizing and interpreting the vast amount of geological and paleontological data that has been collected.
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What is the classification of the Volksbank?
The Volksbank is classified as a cooperative bank. Cooperative banks are financial institutions that are owned and operated by their members, who are typically customers of the bank. These banks are focused on providing banking services to their local communities and are often structured as non-profit organizations. The Volksbank, like other cooperative banks, prioritizes the needs of its members and the community it serves over maximizing profits for shareholders.
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