[ad_1] Introduction The media industry is undergoing rapid transformations due to the advent of digital technologies and changing consumer preferences. One of the key challenges faced by media companies is customer churn, where subscribers cancel…
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[ad_1] Introduction: Patient falls are a common and serious problem in healthcare settings, leading to increased healthcare costs, patient injuries, and even death. Preventing falls among patients is a critical issue for healthcare providers. In…
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[ad_1] Introduction Demand forecasting plays a crucial role in event planning as it helps organizers in predicting attendance, planning resources, and maximizing revenue. Traditionally, event planners rely on historical data, intuition, and subjective judgment to…
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[ad_1] Introduction In the fast-paced and interconnected world of today, innovation and collaboration are essential for organizations to stay competitive and thrive. Social network analysis has emerged as a powerful tool to understand and leverage…
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[ad_1] Introduction Predictive modeling is a powerful tool that has gained popularity in various industries for making data-driven decisions. In the context of human resources (HR), predictive modeling can be leveraged to forecast employee skill…
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[ad_1] Introduction: Subscription-based software companies rely on customer retention and maximizing customer lifetime value (CLV) for sustainable growth and profitability. Predicting customer lifetime value is crucial for these companies to make informed decisions on customer…
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[ad_1] Introduction: In recent years, the use of chatbots in healthcare has gained significant attention due to their potential to improve patient care and streamline processes. Chatbots are computer programs that simulate conversation with human…
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[ad_1] Thesis Overview Title: Fraud Detection in the Education Industry Using Machine Learning and Student Data Introduction The education industry is not immune to fraud, with incidents ranging from academic dishonesty to financial mismanagement. Fraud…
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[ad_1] Thesis Overview: Title: Customer churn prediction in the utilities industry using consumption data and machine learning Introduction: The utilities industry faces the challenge of customer churn, where customers switch service providers due to various…
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[ad_1] Introduction Anomaly detection plays a critical role in ensuring the security of computer networks by identifying unusual patterns that may indicate malicious activities or system malfunctions. With the increasing complexity and sophistication of cyber…
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