Contents………………………………………….…………………………………………………2 1. Introduction………………………………………….…………………………………………................4 1.1 Financial Portfolios.......................................................................................................4 1.2 Data Mining and Decision Trees………………………………………..................….4 1.3 Flow of Report……………………………………….....................................................….5 2. Classification and Regression Trees (CART) …………………………………..........……….6 2.1 Detailed description of CART……………………………………
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USE OF DATA ANALYSIS IN MODELING Use of Data Analysis in Modeling Michael Matthews CIS 331: System Modeling Theory Strayer University Mark O’Connell, PHD March 5, 2013 The term “model” refers to a process of creating a representation of reality and working with this simplified representation in order to understand or control some part of the world (Barker, Powell 2004 pg. 11). A model can be used in varies ways such as business plains, forming a database, or building a structure.
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Contents 1. Introduction 3 2. Executive Summary 5 3. Data Preprocessing 6 4. Analysis 8 4.1 Data Partition 8 4.2 Stat Explore 10 4.3 Clustering & Segmentation: 12 4.4 Decision Tree 24 4.5 Interactive Decision Tree 28 4.6 Gradient Boosting 33 4.7 Linear Regression 35 4.8 Neural Network 38 4.9 Compare Models 40 4.10 Score New Data 42 4.11 Logistic Regression 44 5. Conclusion 49 1. Introduction Given the complexity and the large extent
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TABLE OF CONTENTS Introduction 1 Internal Environment 2 SWOT Analysis in the Internal Environment 2 Strengths 3 Weaknesses 4 Opportunities 4 Threats 5 Recommendation 5 Conclusion 6 References 7 Introduction SWOT is an acronym used to describe the internal Strengths and Weaknesses of the firm and the environmental Opportunities and Threats. By description, Strengths (S) and Weaknesses (W) are considered to be factors within the control of the firm. Opportunities
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Introduction 1.1 Background Technical Analysis is the forecasting of future financial price movements based on an examination of past price movements. Like weather forecasting, technical analysis does not result in absolute predictions about the future. Instead, technical analysis can help investors anticipate what is "likely" to happen to prices over time. Technical analysis uses a wide variety of charts that show price over time. One of them is candlestick chart. By
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and probability concepts to business decisions in organizations that focus on process improvement. Students learn criteria for developing effective research questions, including the creation of appropriate sampling populations and instruments. Other topics include descriptive statistics, probability concepts, confidence intervals, sampling designs, data collection, and data analysis—including parametric and nonparametric tests of hypothesis and regression analysis. Policies Students/learners
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Strategic Management: SWOT analysis’ advantages and disadvantages Decision-making and problem-solving techniques Strategic Management is defined as a set of managerial decisions and actions that determines the long-run performance of a corporation. It includes a variety of tools and analysis which help implement, evaluate and control the general strategy of a company. Strategy formulation begins with a situational analysis and it emphasises the monitoring and evaluating of external opportunities
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QUALITATIVE METHOD OF CASE ANALYSIS EOPT THEORY INTRODUCTION Qualitative Case Analysis, as distinct from the Quantitative method, deals with organizational issues that impede or prevent companies from being effectively organized. Qualitative Case Analysis is typically used in Organizational Behaviour, Human Resource Management, Organizational Change, Industrial Relations or any venue that is significantly impacted by human interaction. This type of analysis identifies inconsistencies, incongruities
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Licensed to Gustavo Simues A Guide to the Business Analysis Body of Knowledge® (BABOK® Guide) Version 2.0 www.theiiba.org Order ID: IIBA-200911231134-455082 Licensed to Gustavo Simues International Institute of Business Analysis, Toronto, Ontario, Canada. ©2005, 2006, 2008, 2009, International Institute of Business Analysis. All rights reserved. Portions of Appendix A: Glossary are from The Software Requirements Memory Jogger, by Ellen Gottesdiener, ©2005 GOAL/QPC and are used with
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Internationalization Strategy of Elecdyne Company Student Name Course Name Course Code Author Affiliation Institute Date Table of Contents Introduction 4 Trend Analysis 5 Pest Analysis 5 Political 6 Economic 6 Social 6 Technological 6 Factor analysis 7 Framework Analysis 8 Internal Strength and Weaknesses Analysis 9 Factors for Internationalization (Weighted) 9 Political Factors 9 Economic 10 Social 10 Technological 11 Summary Table 11 Internationalizing 12 FDI
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