Learning from imbalanced data sets. ([2018])

• Record Type: Book
• Further Information: Note: Alberto Fernández, Salvador García, Mikel Galar, Ronaldo C. Prati, Bartosz Krawczyk and Francisco Herrera.
• Authors: Fernández, Alberto; García, Salvador; Galar, Mikel; Prati, Ronaldo C; Krawczyk, Bartosz; Herrera, Francisco
• Contents: 1 Introduction to KDD and Data Science.- 2 Foundations on Imbalanced Classification.- 3 Performance measures.- 4 Cost-sensitive Learning.- 5 Data Level Preprocessing Methods.- 6 Algorithm-level Approaches.- 7 Ensemble Learning.- 8 Imbalanced Classification with Multiple Classes.- 9 Dimensionality Reduction for Imbalanced Learning.- 10 Data Intrinsic Characteristics.- 11 Learning from Imbalanced Data Streams.- 12 Non-Classical Imbalanced Classification Problems.- 13 Imbalanced Classification for Big Data.- 14 Software and Libraries for Imbalanced Classification.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2018
• Extent: 1 online resource
• Subjects: 006.31; Computer science; Machine learning; Artificial intelligence -- Data processing; Big data; COMPUTERS / General; Computers -- Online Services -- General; Computers -- Hardware -- Network Hardware; Computer networking & communications; Network hardware; Artificial intelligence; Information systems; Computer Communication Networks; Computers -- Intelligence (AI) & Semantics; Artificial intelligence; Electronic books
• Languages: English
• ISBNs: 9783319980744; 3319980742
• Related ISBNs: 9783319980737
• Notes: Note: Includes bibliographical references.; Note: Online resource; title from PDF title page (EBSCO, viewed October 31, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.