Tao (Hrsg.) Li

Event Mining

Algorithms and Applications

Ebook (PDF Format)

Event mining encompasses techniques for automatically and efficiently extracting valuable knowledge from historical event/log data. The field, therefore, plays an important role in data-driven system management. Event Mining: Algorithms and Applications presents state-of-the-art event mining approaches and applications with a focus on computing sys

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Produktdetails

ISBN: 978-1-4665-6859-4
EAN: 9781466568594
Produktnummer: 19575560
Verlag: Taylor & Francis Ltd.
Sprache: Englisch
Erscheinungsjahr: 2015
Seitenangabe: 332 S.
Plattform: PDF
Masse: 14'395 KB

Über den Autor

Dr. Tao Li is a professor and Graduate Program Director in the School of Computing and Information Sciences at Florida International University (FIU) and a professor in the School of Computer Science at Nanjing University of Posts and Telecommunication. He is on the editorial boards of ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Knowledge and Data Engineering, and Knowledge and Information System Journal. He has received numerous honors, including an NSF CAREER Award, IBM Faculty Research Awards, an FIU Excellence in Research and Creativities Award, and IBM Scalable Data Analytics Innovation Award and Mentorship Awards. His research interests are in data mining, information retrieval, and computing system management. He received a PhD in computer science from the University of Rochester.