timel vleo.net

home TimEL Java Library

TimEL a Java time-serie library. TimEL is a Java library to evaluate expressions involving time-series data. TimELs aim is to provide an easy to use - yet powerful language - to model, aggregate and manipulate time-series. TimEL can. Mix multiple time frames for example you can sum daily data with hourly data, with TimEL automatically upscaling the data when needed;. Express recurrent quantities, like 10 units every hour and query TimEL to retrieve the outcome in a given interval;.
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LINKS TO WEB PAGE

Andrea Leofreddis Blog A Collection of Random Thoughts

A Collection of Random Thoughts. TimEL, a Java library specifically developed to ease the evaluation of time series data, comes to with a new streaming API allowing it to crunch.

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We detected that a lone page on timel.vleo.net took one thousand four hundred and eighty-four milliseconds to download. I could not observe a SSL certificate, so therefore our web crawlers consider this site not secure.
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1.484 seconds
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151.1.161.110

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I observed that this website is employing the Apache/2.4.6 (CentOS) PHP/5.4.16 operating system.

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home TimEL Java Library

DESCRIPTION

TimEL a Java time-serie library. TimEL is a Java library to evaluate expressions involving time-series data. TimELs aim is to provide an easy to use - yet powerful language - to model, aggregate and manipulate time-series. TimEL can. Mix multiple time frames for example you can sum daily data with hourly data, with TimEL automatically upscaling the data when needed;. Express recurrent quantities, like 10 units every hour and query TimEL to retrieve the outcome in a given interval;.

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This domain timel.vleo.net states the following, "TimEL is a Java library to evaluate expressions involving time-series data." Our analyzers observed that the website also said " TimELs aim is to provide an easy to use - yet powerful language - to model, aggregate and manipulate time-series." The Website also stated " Mix multiple time frames for example you can sum daily data with hourly data, with TimEL automatically upscaling the data when needed;. Express recurrent quantities, like 10 units every hour and query TimEL to retrieve the outcome in a given interval;." The website's header had home as the most important keyword.

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