eventually helped Kid Galaxy gross $5 million a year. But Collins, who held just a 4% stake in his company, says he felt there was little growth in store. Collin is exposed to Clayton M. Christensen, a Harvard Business school professor who posited a theory about why companies fail, even with great technology, in his book The Innovator's Dilemma. The professor gave him an endorsement and an undisclosed investment for an idea-hunting company. A year later Collins became a success with Tiny Totes, a set
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Data Mining Practical Machine Learning Tools and Techniques The Morgan Kaufmann Series in Data Management Systems Series Editor: Jim Gray, Microsoft Research Data Mining: Practical Machine Learning Tools and Techniques, Second Edition Ian H. Witten and Eibe Frank Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration Earl Cox Data Modeling Essentials, Third Edition Graeme C. Simsion and Graham C. Witt Location-Based Services Jochen Schiller and Agnès Voisard Database
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Chapter One Strategy and Competition Chapter Overview Purpose The purpose of this chapter is to introduce the student to a variety of strategic issues that arise in the manufacturing function of the firm. Key Points 1. Manufacturing matters. This writer contends that the loss of the manufacturing base in the U.S. economy is not healthy and will eventually lead to an overall loss in the standard of living and quality of life in this country. It counters the argument that our evolution into a service
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Stockholm School of Economics Department of Management and Organization Master Thesis, 20 credits “Can strategic analysis through a market and resource based view prevent the founding of companies with an unsustainable business strategy?” Abstract The Resource-based and Market-based views (RBV and MBV) are two theoretical frameworks which try to find an optimal structure for business strategy by focusing on key strategic points to gain the maximum output or return. During the peak and
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Data Mining Third Edition This page intentionally left blank Data Mining Practical Machine Learning Tools and Techniques Third Edition Ian H. Witten Eibe Frank Mark A. Hall AMSTERDAM • BOSTON • HEIDELBERG • LONDON NEW YORK • OXFORD • PARIS • SAN DIEGO SAN FRANCISCO • SINGAPORE • SYDNEY • TOKYO Morgan Kaufmann Publishers is an imprint of Elsevier Morgan Kaufmann Publishers is an imprint of Elsevier 30 Corporate Drive, Suite 400, Burlington, MA 01803, USA This book is printed
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good candidate for many applications as these are simple with good performances. Keywords- ANN, Genetic Algorithm, Data classification I. INTRODUCTION Data classification is a classical problem extensively studied by statisticians and machine learning researchers. It is an important problem in variety of engineering and scientific disciplines such as biology, psychology, medicines, marketing, computer vision, and artificial intelligence [1]. The goal of the data classification is to classify objects
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FAB PAPER F1 ACCOUNTANT IN BUSINESS BPP Learning Media is the sole ACCA Platinum Approved Learning Partner – content for the FIA and ACCA qualifications. In this, the only FAB/F1 Study Text to be reviewed by the examiner: We highlight the most important elements in the syllabus and the key skills you will need We signpost how each chapter links to the syllabus and the study guide We provide lots of exam focus points demonstrating what the examiner will want you to do We emphasise
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2 COURSE DETAILS 3 2.1 2.2 2.3 2.4 2.5 Teaching Times and Locations Units of Credit Summary of Course Course Aims and Relationship to Other Courses Student Learning Outcomes 3 LEARNING AND TEACHING ACTIVITIES 3 3 3 4 4 6 3.1 Approach to Learning and Teaching in the Course 3.2 Learning Activities and Teaching Strategies 6 6 4 7 ASSESSMENT 4.1 Formal Requirements 4.2 Assessment Details INDIVIDUAL ASSESSMENTS 7 7 8 4.2.1 Individual Written
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strategic partnerships and alliances, global competitiveness, quality and productivity, and lean production philosophy. Learning Objectives and Expected Learning Outcomes: The learning objectives and expected learning outcomes are: 1) To introduce the fundamental concepts of Operations Management; to provide factual knowledge, terminology, methods, and theories of the field required for the management of the transformation process by which inputs are converted into useful goods and
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TeAM YYeP BUSINESS G Digitally signed by TeAM YYePG DN: cn=TeAM YYePG, c=US, o=TeAM YYePG, ou=TeAM YYePG, email=yyepg@msn.com Reason: I attest to the accuracy and integrity of this document Date: 2005.04.20 19:31:36 +08'00' ECONOMICS AND MANAGERIAL DECISION MAKING Trefor Jones Manchester School of Management UMIST 4 PART I g CORPORATE GOVERNANCE AND BUSINESS OBJECTIVES INTRODUCTION Firms are major economic institutions in market economies. They come in all shapes and sizes, but
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