Temporal Data Mining

Zusatztext 91712921 Informationen zum Autor 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. Klappentext In contrast to traditional data mining methods, temporal data mining discovers dynamic knowledge related to activity, behavior, and evolution. This book presents the fundamentals of temporal data mining and its wide range of applications in medicine, finance, geographical information systems, and other areas. It covers essential data mining topics from the perspective of temporal data mining, addressing temporal databases and data models, temporal data representation and similarity computation, and temporal pattern detection. The author employs illustrative examples to explain key concepts and algorithms. Zusammenfassung Temporal data mining deals with the harvesting of useful information from temporal data. This book covers the theory of this 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, and clustering. Inhaltsverzeichnis 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.

Product details

• Authors: Theophano Mitsa, Theophano (Software Consultant Mitsa, Mitsa Theophano
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 09.03.2010
• EAN: 9781420089769
• ISBN: 978-1-4200-8976-9
• No. of pages: 395
• Dimensions: 162 mm x 242 mm x 26 mm
• Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series; Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Application software; Social sciences, law, business > Business > Miscellaneous; Data Mining, COMPUTERS / Programming / Algorithms, algorithms and data structures, Algorithms & data structures, COMPUTERS / Data Science / Data Analytics