Call for Chapters: Data Preprocessing, Active Learning & Cost Perceptive Approaches for Resolving Data Imbalance at SVNIT, Surat: Submit by Dec 11
About the Book From the last two decades, researchers are looking at the imbalanced data learning as the prominent research area. The majority of critical real-world application areas like finance, health, network, news, online advertisement, social network media and weather are having the imbalanced data and emphasize the research necessary for real-time implications of precise fraud/defaulter detection, rare disease/reaction prediction, network intrusion detection, fake news detection, fraud advertisement detection, cyberbullying identification, disaster events prediction, etc. The machine learning algorithms are …
