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ADS Track Papers and Research Track Full Papers are two categories of papers in the field of computer science and engineering. ADS stands for Applied Data Science, which refers to the application of data science techniques and methodologies to solve real-world problems. On the other hand, Research Track Full Papers refer to original research work that contributes new knowledge or insights to the field.
In general, ADS track papers focus on practical applications of data science in various domains such as healthcare, finance, social media, etc. These papers typically describe how data science techniques were applied to solve a specific problem or achieve a particular goal. Examples of ADS track papers include “Predicting Hospital Readmissions using Machine Learning” or “Sentiment Analysis of Social Media Data”.
Research Track Full Papers, on the other hand, are more theoretical and scientific in nature. These papers often present novel algorithms or techniques that have been developed through extensive research and experimentation. They usually follow a rigorous methodology involving literature review, experimentation and analysis of results. Examples of Research Track Full Papers include “A Novel Optimization Algorithm for Neural Networks” or “An Empirical Study on Performance Metrics for Machine Learning Models”.
Both types of papers play an important role in advancing the field of computer science and engineering by sharing knowledge and insights with fellow researchers and practitioners.
