Event mining for explanatory modeling

"This book introduces the concept of Event Mining for building explanatory models from analyses of correlated data. Such a model may be used as the basis for predictions and corrective actions. The idea is to create, via an iterative process, a model that explains causal relationships in the fo...

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Bibliographic Details
Main Authors Jalali, Laleh (Author), Jain, Ramesh, 1949- (Author)
Format Electronic eBook
LanguageEnglish
Published [New York, New York?] : Association for Computing Machinery, [2021]
EditionFirst edition.
SeriesACM books ; #35.
Subjects
Online AccessPlný text

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Summary:"This book introduces the concept of Event Mining for building explanatory models from analyses of correlated data. Such a model may be used as the basis for predictions and corrective actions. The idea is to create, via an iterative process, a model that explains causal relationships in the form of structural and temporal patterns in the data. The first phase is the data-driven process of hypothesis formation, requiring the analysis of large amounts of data to find strong candidate hypotheses. The second phase is hypothesis testing, wherein a domain expert's knowledge and judgment is used to test and modify the candidate hypotheses."--Publisher's description.
Physical Description:1 online zdroj (xv, 146 stran) : ilustrace
Bibliography:Obsahuje bibliografické odkazy a index.
ISBN:9781450384858
9781450384834
9781450384827
Access:Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty