{"product_id":"imbalanced-learning","title":"Imbalanced Learning","description":"\u003cp\u003e\u003cb\u003eThe first book of its kind to review the current status and future direction of the exciting new branch of machine learning\/data mining called imbalanced learning\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eImbalanced learning focuses on how an intelligent system can learn when it is provided with imbalanced data. Solving imbalanced learning problems is critical in numerous data-intensive networked systems, including surveillance, security, Internet, finance, biomedical, defense, and more. Due to the inherent complex characteristics of imbalanced data sets, learning from such data requires new understandings, principles, algorithms, and tools to transform vast amounts of raw data efficiently into information and knowledge representation.\u003c\/p\u003e \u003cp\u003eThe first comprehensive look at this new branch of machine learning, this book offers a critical review of the problem of imbalanced learning, covering the state of the art in techniques, principles, and real-world applications. Featuring contributions from experts in both academia and industry, \u003ci\u003eImbalanced Learning: Foundations, Algorithms, and Applications\u003c\/i\u003e provides chapter coverage on:\u003c\/p\u003e \u003cul\u003e\n\u003cli\u003eFoundations of Imbalanced Learning\u003c\/li\u003e\n\u003cli\u003eImbalanced Datasets: From Sampling to Classifiers\u003c\/li\u003e\n\u003cli\u003eEnsemble Methods for Class Imbalance Learning\u003c\/li\u003e\n\u003cli\u003eClass Imbalance Learning Methods for Support Vector Machines\u003c\/li\u003e\n\u003cli\u003eClass Imbalance and Active Learning\u003c\/li\u003e\n\u003cli\u003eNonstationary Stream Data Learning with Imbalanced Class Distribution\u003c\/li\u003e\n\u003cli\u003eAssessment Metrics for Imbalanced Learning\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eImbalanced Learning: Foundations, Algorithms, and Applications\u003c\/i\u003e will help scientists and engineers learn how to tackle the problem of learning from imbalanced datasets, and gain insight into current developments in the field as well as future research directions.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":54231777771864,"sku":"9781118074626","price":118.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781118074626_e28e968a-b51b-4dcf-a0a7-7f8f2c9c3601.jpg?v=1780025446","url":"https:\/\/agendabookshop.com\/products\/imbalanced-learning","provider":"Agenda Bookshop","version":"1.0","type":"link"}