[ad_1] Introduction Demand forecasting plays a critical role in supply chain optimization as it helps businesses predict future demand for their products or services. Time series analysis is one of the widely used methods for…
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[ad_1] Introduction Social network analysis has become an increasingly popular tool for marketers to understand consumer behavior and improve the effectiveness of marketing campaigns. By analyzing the relationships between individuals within a social network, marketers…
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[ad_1] Introduction In recent years, predictive modeling has become an integral part of financial institutions’ decision-making processes, especially in the area of loan default prediction. Predictive modeling is used to analyze historical data and make…
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[ad_1] Introduction Fake news has become a pressing issue in today’s society, with the rapid spread of misinformation and disinformation through various online platforms. Detecting and preventing the spread of fake news is crucial to…
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[ad_1] Introduction Traffic congestion is a prevalent issue in urban areas around the world, leading to wasted time, increased pollution, and decreased quality of life for residents. Predicting traffic flow accurately can help transportation agencies…
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[ad_1] Introduction: In today’s competitive business environment, understanding and predicting customer lifetime value (CLTV) has become increasingly important for companies to effectively manage their customer relationships and maximize profitability. CLTV is a crucial metric that…
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[ad_1] Introduction Sentiment analysis is a technique used to extract and analyze subjective information from text data, with the aim of determining the sentiment expressed in a given piece of text. In recent years, sentiment…
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[ad_1] Introduction Fraudulent activities in credit card transactions have been a significant problem for financial institutions and cardholders. With the advancement of technology, fraudsters have become more sophisticated in their methods, making it challenging to…
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[ad_1] Introduction Natural language processing (NLP) has made significant advancements in recent years, transforming the way we interact with technology. One application of NLP that has gained attention is automated essay grading, which aims to…
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[ad_1] Introduction In the age of e-commerce, personalized recommendation systems have become an essential tool for online retailers to increase sales and customer satisfaction. Collaborative filtering is a popular technique used in recommender systems to…
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