Cost-Sensitive Machine Learning

Name: Cost-Sensitive Machine Learning
Brand: CRC Press

CRC Press

Cost-Sensitive Machine LearningAuthor(s): Balaji Krishnapuram, Shipeng Yu, R. Bharat Rao\nFormat: Paperback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: CRC Press\nISBN-13: 9780367381912, 978-0367381912\nSynopsis\nIn machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs include: \n\nCost of acquiring training data\n\nCost of data annotation/labeling and cleaning\n\nComputational cost for model fitting, validation, and testing\n\nCost of collecting features/attributes for test data\n\nCost of user feedback collection\n\nCost of incorrect prediction/classification\n\nCost-Sensitive Machine Learning is one of the first books to provide an overview of the current research efforts and problems in this area. It discusses real-world applications that incorporate the cost of learning into the modeling process. \n\nThe first part of the book presents the theoretical underpinnings of cost-sensitive machine lear.