[ad_1] Introduction: In the digital age, advertising has become an integral part of our daily lives. With the rise of social media platforms and online marketing, the landscape of advertising has drastically evolved. Ad data,…
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[ad_1] **Chapter 1: Introduction** 1.1 Introduction 1.2 Background of study 1.3 Problem Statement 1.4 Objective of study 1.5 Limitation of study 1.6 Scope of study 1.7 Significance of study 1.8 Structure of the Thesis 1.9…
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[ad_1] Introduction In today’s competitive business environment, companies are increasingly recognizing the importance of understanding and managing employee feedback. Employee feedback is a valuable source of information that can provide insights into employee satisfaction, engagement,…
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[ad_1] **Thesis Title: Fraud Detection in the Real Estate Industry using Machine Learning and Property Data** **Chapter One: Introduction** 1.1 Introduction 1.2 Background of Study 1.3 Problem Statement 1.4 Objective of Study 1.5 Limitation of…
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[ad_1] Introduction Customer churn prediction in the retail banking industry is a crucial area of research due to the high competition among banks, the increasing customer expectations, and the ease of switching between financial institutions.…
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[ad_1] Introduction In recent years, online advertising has become an essential component of marketing strategies for businesses looking to reach their target audience effectively. With the proliferation of digital platforms and the vast amount of…
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[ad_1] Introduction The advent of social media and online review platforms has led to an explosion of customer feedback that can be used to improve service quality. However, analyzing this vast amount of unstructured text…
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[ad_1] Introduction Social network analysis (SNA) has become an essential tool for understanding the dynamics of customer support communities and knowledge sharing in today’s digital age. As companies strive to provide effective support and foster…
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[ad_1] Introduction In recent years, the proliferation of online marketplaces and e-commerce platforms has revolutionized the way individuals and businesses buy and sell products and services. With the vast amount of data generated from these…
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[ad_1] Introduction: Traffic congestion poses a significant challenge to logistics companies, leading to delays, increased costs, and decreased customer satisfaction. Traditional methods of predicting and managing congestion have shown limitations in providing accurate and real-time…
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