Theophano Mitsa

Temporal Data Mining

• Broschiertes Buch

Produktbeschreibung

From basic data mining concepts to state-of-the-art advances, this book covers the theory of the subject as well as its application in a variety of fields. It discusses the incorporation of temporality in databases as well as temporal data representation, similarity computation, data classification, clustering, pattern discovery, and prediction. The book also explores the use of temporal data mining in medicine and biomedical informatics, business and industrial applications, web usage mining, and spatiotemporal data mining. Along with various state-of-the-art algorithms, each chapter includes detailed references and short descriptions of relevant algorithms and techniques described in other references.

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Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 395
• Erscheinungstermin: 5. September 2019
• Englisch
• Abmessung: 231mm x 160mm x 25mm
• Gewicht: 544g
• ISBN-13: 9780367384456
• ISBN-10: 0367384450
• Artikelnr.: 57732233

Autorenporträt

Theophano Mitsa, Ph.D., is a software consultant and electrical engineer with expertise in image analysis, computer vision, machine learning, pattern recognition, medical informatics, and decision support systems.

Inhaltsangabe

Temporal Databases and Mediators. Temporal Data Similarity Computation,
Representation, and Summarization. Temporal Data Classification and
Clustering. Prediction. Temporal Pattern Discovery. Temporal Data Mining in
Medicine and Bioinformatics. Temporal Data Mining and Forecasting in
Business and Industrial Applications. Web Usage Mining. Spatiotemporal Data
Mining. Appendices. Index.