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Philipp Meisen introduces a model, a query language, and a similarity measure enabling users to analyze time interval data. The introduced tools are combined to design and realize an information system. The presented system is capable of performing analytical tasks (avoiding any type of summarizability problems), providing insights, and visualizing results processing millions of intervals within milliseconds using an intuitive SQL-based query language. The heart of the solution is based on several bitmap-based indexes, which enable the system to handle huge amounts of time interval data.
Philipp Meisen introduces a model, a query language, and a similarity measure enabling users to analyze time interval data. The introduced tools are combined to
This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provides the first c
In statistical analysis of time-to-event data, there are situations where the event of interest is only known to have occurred within an interval of time. Such
Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tools for interval-censored time-t
Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between vario
