Mark A. Hall – författare & böcker

Data Mining

Practical Machine Learning Tools and Techniques

E-bok

Engelska, 2011

701 kr

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Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining.Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research.The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise.- Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects- Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods- Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks—in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization

Data Mining

Practical Machine Learning Tools and Techniques

AvChristopher J. Pal,Mark A. Hallm. fl.

E-bok

Engelska, 2016

733 kr

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Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today''s techniques coupled with the methods at the leading edge of contemporary research.Please visit the book companion website at https://www.cs.waikato.ac.nz/~ml/weka/book.html.It contains- Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book- Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book- Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.- Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects- Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods- Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface- Includes open-access online courses that introduce practical applications of the material in the book

Making Medical Spending Decisions

The Law, Ethics, and Economics of Rationing Mechanisms

AvMark A. Hall

Inbunden, Engelska, 1997

831 kr

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One of the most fundamental issues in health care delivery is who should decide which items of medical care are not worth their cost. This book is a fresh and comprehensive exploration of how health care rationing decisions are made. Unlike prior works, its focus is not on the specific criteria for rationing, like age or quality of life. Instead, the author provides comparative analysis of alternative social mechanisms for making medical spending decisions: (1) consumers paying for their medical treatment out of pocket; (2) payers, government officials, or other centralized authorities setting limits on what doctors can do and what insurance will pay for; and (3) physicians motivated to make these decisions at the bedside level. His analysis of each of these mechanisms reveals that none is uniformly superior, and each is better suited for certain decisions that others. Therefore, a mix of all three is inevitable.The author develops his analysis along three dimensions: political economics, ethics, and law. The political economic dimension discusses the practical and theoretical aspects of each method for making spending decisions, synthesizing empirical studies of the situations in which each mechanism has been tested. The ethical dimension is based on several strands of philosophical theory, principally classic liberalism, social contract theory, and communitarianism, as well as conceptual analysis of terms such as autonomy and coercion. The legal dimension addresses recent developments in legal doctrine such as informed consent, insurance coverage disputes, and the emerging direction of federal regulation. Hall concludes that physician rationing at the bedside is far more promising than medical ethicists and the medical profession have traditionally allowed. The best way to allocate authority for making medical spending decisions in both public and private systems, he believes, is the informed purchase of different types of health insurance in a managed competition framework.

Charitable Tax Exemption

AvJohn D Colombo,Mark A Hall

Häftad, Engelska, 2021

668 kr

Skickas inom 10-15 vardagar

The tradition of tax-exempt status for nonprofit "charitable" organizations is well established, and few would argue with the principle. But the tax-exempt sector of the economy is vast and rapidly growing, resulting in the loss of billions of dollars of tax revenue. At the same time, we have no consensus on what purpose the charitable tax exemption serves, let alone agreement on what constitutes a charity. In this important addition to the theory of tax law, Colombo and Hall develop an original "donative" theory that links the charitable tax exemption to the ability of an organization to derive donative support from the community. Their theory not only makes intuitive sense but also receives support from economic, political, and moral theory. Its implications would rationalize the charitable tax exemption, comport with legal precedent, and simplify the administration of the law. The Charitable Tax Exemption is a major contribution to the theory of tax law and should be essential reading for a wide range of lawyers dealing with taxes. It will also be enlightening for anyone involved in the operation of a nonprofit organization

Data Mining

Practical Machine Learning Tools and Techniques

AvIan H. Witten,Eibe Frankm. fl.

Häftad, Engelska, 2025

814 kr

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**2026 Textbook and Academic Authors Association (TAA) Textbook Excellence "Texty" Award Winner**Data Mining: Practical Machine Learning Tools and Techniques, Fifth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated new edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including more recent deep learning content on topics such as generative AI (GANs, VAEs, diffusion models), large language models (transformers, BERT and GPT models), and adversarial examples, as well as a comprehensive treatment of ethical and responsible artificial intelligence topics. Authors Ian H. Witten, Eibe Frank, Mark A. Hall, and Christopher J. Pal, along with new author James R. Foulds, include today’s techniques coupled with the methods at the leading edge of contemporary research

Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projectsPresents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methodsFeatures in-depth information on deep learning and probabilistic modelsCovers performance improvement techniques, including input preprocessing and combining output from different methodsProvides an appendix introducing the WEKA machine learning workbench and links to algorithm implementations in the softwareIncludes all-new exercises for each chapter

Data Mining

Practical Machine Learning Tools and Techniques

AvJames Foulds,Christopher J. Palm. fl.

E-bok

Engelska, 2025

880 kr

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Data Mining: Practical Machine Learning Tools and Techniques, Fifth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated new edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including more recent deep learning content on topics such as generative AI (GANs, VAEs, diffusion models), large language models (transformers, BERT and GPT models), and adversarial examples, as well as a comprehensive treatment of ethical and responsible artificial intelligence topics. Authors Ian H. Witten, Eibe Frank, Mark A. Hall, and Christopher J. Pal, along with new author James R. Foulds, include today''s techniques coupled with the methods at the leading edge of contemporary research- Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects- Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods- Features in-depth information on deep learning and probabilistic models- Covers performance improvement techniques, including input preprocessing and combining output from different methods- Provides an appendix introducing the WEKA machine learning workbench and links to algorithm implementations in the software- Includes all-new exercises for each chapter

Health Care Safety Net in a Post-Reform World

AvMark A. Hall,Sara Rosenbaum

Inbunden, Engelska, 2012

1 462 kr

Skickas inom 5-8 vardagar

The Health Care Safety Net in a Post-Reform World examines how national health care reform will impact safety net programs that serve low-income and uninsured patients. The “safety net” refers to the collection of hospitals, clinics, and doctors who treat disadvantaged people, including those without insurance, regardless of their ability to pay. Despite comprehensive national health care reform, over twenty million people will remain uninsured. And many of those who obtain insurance from reform will continue to face shortages of providers in their communities willing or able to serve them. As the demand for care grows with expanded insurance, so will the pressure on an overstretched safety net.This book, with contributions from leading health care scholars, is the first comprehensive assessment of the safety net in over a decade. Rather than view health insurance and the health care safety net as alternatives to each other, it examines their potential to be complementary aspects of a broader effort to achieve equity and quality in health care access. It also considers whether the safety net can be improved and strengthened to a level that can provide truly universal access, both through expanded insurance and the creation of a well-integrated and reasonably supported network of direct health care access for the uninsured.Seeing safety net institutions as key components of post-health care reform in the United States-as opposed to stop-gap measures or as part of the problem-is a bold idea. And as presented in this volume, it is an idea whose time has come.

Health Care Safety Net in a Post-Reform World

AvMark A. Hall,Sara Rosenbaum

Häftad, Engelska, 2012

406 kr

Skickas inom 5-8 vardagar

The Health Care Safety Net in a Post-Reform World examines how national health care reform will impact safety net programs that serve low-income and uninsured patients. The “safety net” refers to the collection of hospitals, clinics, and doctors who treat disadvantaged people, including those without insurance, regardless of their ability to pay. Despite comprehensive national health care reform, over twenty million people will remain uninsured. And many of those who obtain insurance from reform will continue to face shortages of providers in their communities willing or able to serve them. As the demand for care grows with expanded insurance, so will the pressure on an overstretched safety net.This book, with contributions from leading health care scholars, is the first comprehensive assessment of the safety net in over a decade. Rather than view health insurance and the health care safety net as alternatives to each other, it examines their potential to be complementary aspects of a broader effort to achieve equity and quality in health care access. It also considers whether the safety net can be improved and strengthened to a level that can provide truly universal access, both through expanded insurance and the creation of a well-integrated and reasonably supported network of direct health care access for the uninsured.Seeing safety net institutions as key components of post-health care reform in the United States-as opposed to stop-gap measures or as part of the problem-is a bold idea. And as presented in this volume, it is an idea whose time has come.

Reforming Private Health Insurance

AvMark A. Hall

Häftad, Engelska, 1994

177 kr

Skickas inom 5-8 vardagar

Between 1987 and 1991, the portion of Americans covered by individually purchased health insurance dropped 40per cent. Assuming the US will continue to rely on private financing for health care, the author clarifies benefits to society from an efficient health insurance market.

Is Community Rating Essential to Managed Competition?

AvMark A. Hall

Häftad, Engelska, 1994

161 kr

Skickas inom 5-8 vardagar

N/A

Charitable Tax Exemption

AvMark A Hall,John D Colombo

E-bok

PDF, Engelska, 2019

727 kr

Läs direkt efter köp

The tradition of tax-exempt status for nonprofit "charitable" organizations is well established, and few would argue with the principle. But the tax-exempt sector of the economy is vast and rapidly growing, resulting in the loss of billions of dollars of tax revenue. At the same time, we have no consensus on what purpose the charitable tax exemption serves, let alone agreement on what constitutes a charity. In this important addition to the theory of tax law, Colombo and Hall develop an original "donative" theory that links the charitable tax exemption to the ability of an organization to derive donative support from the community. Their theory not only makes intuitive sense but also receives support from economic, political, and moral theory. Its implications would rationalize the charitable tax exemption, comport with legal precedent, and simplify the administration of the law. The Charitable Tax Exemption is a major contribution to the theory of tax law and should be essential reading for a wide range of lawyers dealing with taxes. It will also be enlightening for anyone involved in the operation of a nonprofit organization

Charitable Tax Exemption

AvMark A Hall,John D Colombo

E-bok

Engelska, 2019

727 kr

Läs direkt efter köp

The tradition of tax-exempt status for nonprofit "charitable" organizations is well established, and few would argue with the principle. But the tax-exempt sector of the economy is vast and rapidly growing, resulting in the loss of billions of dollars of tax revenue. At the same time, we have no consensus on what purpose the charitable tax exemption serves, let alone agreement on what constitutes a charity. In this important addition to the theory of tax law, Colombo and Hall develop an original "donative" theory that links the charitable tax exemption to the ability of an organization to derive donative support from the community. Their theory not only makes intuitive sense but also receives support from economic, political, and moral theory. Its implications would rationalize the charitable tax exemption, comport with legal precedent, and simplify the administration of the law. The Charitable Tax Exemption is a major contribution to the theory of tax law and should be essential reading for a wide range of lawyers dealing with taxes. It will also be enlightening for anyone involved in the operation of a nonprofit organization