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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Informatik Event Detection in Time Series
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Event Detection in Time Series
Eduardo Ogasawara, Rebecca Salles, Fabio Porto, Esther Pacitti (Gebundene Ausgabe, Englisch)
Optischer Zustand
Beschreibung
This book is dedicated to exploring and explaining time series event detection in databases. The focus is on events, which are pervasive in time series applications where significant changes in behavior are observed at specific points or time intervals. Event detection is a basic function in surveillance and monitoring systems and has been extensively explored over the years, but this book… provides a unified overview of the major types of time series events with which researchers should be familiar: anomalies, change points, and motifs. The book starts with basic concepts of time series and presents a general taxonomy for event detection. This taxonomy includes (i) granularity of events (punctual, contextual, and collective), (ii) general strategies (regression, classification, clustering, model-based), (iii) methods (theory-driven, data-driven), (iv) machine learning processing (supervised, semi-supervised, unsupervised), and (v) data management (ETL process). This taxonomy is weaved throughout chapters dedicated to the specific event types: anomaly detection, change-point, and motif discovery. The book discusses state-of-the-art metric evaluations for event detection methods and also provides a dedicated chapter on online event detection, including the challenges and general approaches (static versus dynamic), including incremental and adaptive learning. This book will be of interested to graduate or undergraduate students of different fields with a basic introduction to data science or data analytics. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
29.01.2025
Sprache
Englisch
EAN
9783031759406
Herausgeber
Springer International Publishing
Serien- oder Bandtitel
Synthesis Lectures on Data Management
Sonderedition
Nein
Autor
Eduardo Ogasawara, Rebecca Salles, Fabio Porto, Esther Pacitti
Seitenanzahl
170
Einbandart
Gebundene Ausgabe
Schlagwörter
Event Detection, Taxonomy of Events, Data Anomaly Detection, Data Motif Discovery, Data Analysis
Thema-Inhalt
UN - Datenbanken
UNH - Informationsrückgewinnung, Information Retrieval
UND - Data Warehousing
UNF - Data Mining
UYQE - Wissensbasierte Systeme, Expertensysteme
Höhe
240 mm
Breite
16.8 cm
Transparenz & Sicherheit
Hersteller: Palgrave Macmillan, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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