Projected Outlier Detection For High-dimensional Data Streams

This book investigates the challenging research problem of detecting projected outliers that are embedded in high-dimensional data streams. This book is a good reference for outlier detection techniques and approaches in high-dimensional data and data streams. This book also presents an in-depth discussion on a efficient and effective method for detecting projected outliers from high-dimensional data streams through subspace exploration.

Info autore

El profesor Ji Zhang es actualmente catedrático asociado (lector) de Informática en la Universidad de South Queensland (Australia). Es becario australiano Endeavour, becario de Queensland (Australia) y becario Izaak Walton Killam (Canadá). Sus intereses de investigación se centran en el descubrimiento de conocimientos y la minería de datos.

Dettagli sul prodotto

• Autori: Ji Zhang
• Editore: LAP Lambert Academic Publishing
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 09.08.2017
• EAN: 9783330329638
• ISBN: 978-3-33-032963-8
• Pagine: 144
• Categorie: Guide e manuali; Scienze naturali, medicina, informatica, tecnica > Informatica, EDP