The Metaknowledge Advantage
The Metaknowledge Advantage

Author: Rafael Aguayo

Publisher: Simon and Schuster

Published: 2010-05-11

Total Pages: 469

ISBN-13: 1439138281

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In the tradition of the bestselling Intellectual Capital, internationally recognized management and quality expert Rafael Aguayo shows how integrated mastery of many areas of knowledge -- MetaKnowledge -- can give corporate managers an edge, no matter what the future has in store. In today's world, the basis of economic power and wealth is rapidly shifting from physical resources to intellectual resources. Former powerhouses like U.S. Steel are now minor players, while modern giants such as Microsoft dominate industries that didn't even exist twenty-five years ago. The economy undergoes wild fluctuations. The Internet boom has come and gone. Through globalization, international boundaries are becoming less important every day. In such a dramatically changing environment, the management philosophy that endures must be based on principles that transcend daily occurrences and swings in the market. That's where MetaKnowledge comes in. Rafael Aguayo brings years of firsthand consulting experience to this book and galvanizes it with an impressive yet accessible body of academic study. A disciple of W. Edwards Deming, Aguayo studied with the man who brought quality to the Japanese. He has since expanded his field of expertise to encompass many subjects that contribute to successful business strategies, no matter what the industry. In The MetaKnowledge Advantage, Aguayo gives American managers an advantage by helping them break out of their narrow fields of expertise, synthesizing areas of knowledge as diverse as ecology, psychology, statistics, chaos theory, self-actualization, and the theory of multiple intelligences. Drawing on the work of Walter Shewhart (the father of Statistical Quality Control), W. Edwards Deming, Carl Jung, James Lovelock, Bertrand Russell, and many other luminaries, The MetaKnowledge Advantage offers a comprehensive -- and extremely flexible -- strategy for good management and ethical behavior in any industry.

Philosophy of Science and Meta-Knowledge in International Business and Management
Philosophy of Science and Meta-Knowledge in International Business and Management

Author: Timothy M. Devinney

Publisher: Emerald Group Publishing

Published: 2013-06-25

Total Pages: 518

ISBN-13: 1781907137

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This volume explores major issues and concepts in the field of international business and management and asks the question 'What is it that we know?' It examines key topics such as multinational enterprise and strategic management theory, post-merger integration, internalizing firms and the strategy-performance relationship.

Meta-Learning in Decision Tree Induction
Meta-Learning in Decision Tree Induction

Author: Krzysztof Grąbczewski

Publisher: Springer

Published: 2013-09-11

Total Pages: 349

ISBN-13: 3319009605

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The book focuses on different variants of decision tree induction but also describes the meta-learning approach in general which is applicable to other types of machine learning algorithms. The book discusses different variants of decision tree induction and represents a useful source of information to readers wishing to review some of the techniques used in decision tree learning, as well as different ensemble methods that involve decision trees. It is shown that the knowledge of different components used within decision tree learning needs to be systematized to enable the system to generate and evaluate different variants of machine learning algorithms with the aim of identifying the top-most performers or potentially the best one. A unified view of decision tree learning enables to emulate different decision tree algorithms simply by setting certain parameters. As meta-learning requires running many different processes with the aim of obtaining performance results, a detailed description of the experimental methodology and evaluation framework is provided. Meta-learning is discussed in great detail in the second half of the book. The exposition starts by presenting a comprehensive review of many meta-learning approaches explored in the past described in literature, including for instance approaches that provide a ranking of algorithms. The approach described can be related to other work that exploits planning whose aim is to construct data mining workflows. The book stimulates interchange of ideas between different, albeit related, approaches.

Dr. Deming
Dr. Deming

Author: Rafael Aguayo

Publisher: Simon and Schuster

Published: 1991-09-15

Total Pages: 310

ISBN-13: 0671746219

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Explains the Deming Management Method that was created by the man who helped Japan learn about product quality and business management.

Metalearning
Metalearning

Author: Pavel Brazdil

Publisher: Springer Nature

Published: 2022

Total Pages: 349

ISBN-13: 3030670244

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This open access book as one of the fastest-growing areas of research in machine learning, metalearning studies principled methods to obtain efficient models and solutions by adapting machine learning and data mining processes. This adaptation usually exploits information from past experience on other tasks and the adaptive processes can involve machine learning approaches. As a related area to metalearning and a hot topic currently, automated machine learning (AutoML) is concerned with automating the machine learning processes. Metalearning and AutoML can help AI learn to control the application of different learning methods and acquire new solutions faster without unnecessary interventions from the user. This book offers a comprehensive and thorough introduction to almost all aspects of metalearning and AutoML, covering the basic concepts and architecture, evaluation, datasets, hyperparameter optimization, ensembles and workflows, and also how this knowledge can be used to select, combine, compose, adapt and configure both algorithms and models to yield faster and better solutions to data mining and data science problems. It can thus help developers to develop systems that can improve themselves through experience. This book is a substantial update of the first edition published in 2009. It includes 18 chapters, more than twice as much as the previous version. This enabled the authors to cover the most relevant topics in more depth and incorporate the overview of recent research in the respective area. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining, data science and artificial intelligence.

Knowledge Management in Practice
Knowledge Management in Practice

Author: Taverekere Srikantaiah

Publisher: Information Today, Inc.

Published: 2008

Total Pages: 554

ISBN-13: 9781573873123

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This is the third entry in an ambitious, highly regarded KM book series edited by T. Kanti Srikantaiah and Michael E. D. Koenig. Where Knowledge Management for the Information Professional (2000) offered information professionals an introduction to KM and Knowledge Management Lessons Learned (2004) assessed KM applications and innovations, Knowledge Management in Practice looks at how KM can be and is being implemented in organizations today. Featuring the contributions of more than 20 experts in the field, the book is unique in surveying the efforts of KM specialists to extend knowledge beyond their organizations and in providing a framework for understanding user context. The result is a must-read for any professional seeking to connect organizational KM systems with increasingly diverse and geographically dispersed user communities.

Principles of Knowledge Management
Principles of Knowledge Management

Author: Eliezer Geisler

Publisher: Routledge

Published: 2015-03-26

Total Pages: 335

ISBN-13: 1317415167

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This text provides a comprehensive introduction to the new field of knowledge management. It approaches the subject from a management rather than a highly technical point of view, and provides students with a state-of-the-art survey of KM and its implementation in diverse organizations. The text covers the nature of knowledge (tacit and explicit), the origins and units of organizational knowledge, and the evolution of knowledge management in contemporary society. It explores the implementation and utilization of knowledge management systems, and how to measure their impact, outputs, and benefits. The book includes a variety of original case studies that illustrate specific situations in which the absence or existence of knowledge management systems has been crucial to the organization's actions. Charts and figures throughout help clarify more complex phenomena and classifications, and each chapter includes review questions and a comprehensive index.

Emerging Information Technologies for Competitive Advantage and Economic Development
Emerging Information Technologies for Competitive Advantage and Economic Development

Author: Information Resources Management Association. International Conference

Publisher: IGI Global

Published: 1992-01-01

Total Pages: 418

ISBN-13: 9781878289179

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Keeping up with constant changes and innovations puts a lot of pressure on information providers and users to continuously upgrade their knowledge and skill. This change means being flexible enough to recognize that the knowledge you receive today must be constantly updated. This book will provide readers with the latest research findings and managerial experiences on a variety of technological innovations of IT.

Implicit and Explicit Learning of Languages
Implicit and Explicit Learning of Languages

Author: Patrick Rebuschat

Publisher: John Benjamins Publishing Company

Published: 2015-09-15

Total Pages: 513

ISBN-13: 902726872X

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Implicit learning is a fundamental feature of human cognition. Many essential skills, including language comprehension and production, intuitive decision making, and social interaction, are largely dependent on implicit (unconscious) knowledge. Given its relevance, it is not surprising that the study of implicit learning plays a central role in the cognitive sciences. The present volume brings together eminent researchers from a variety of fields (e.g., cognitive psychology, linguistics, education, cognitive neuroscience, developmental psychology) in order to assess the progress made in the study of implicit and explicit learning, to critically evaluate key concepts and methodologies, and to determine future directions to take in this interdisciplinary enterprise. The eighteen chapters in this volume are written in an accessible and engaging fashion; together, they provide the reader with a comprehensive snapshot of the exciting current work on the implicit and explicit learning of languages.