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How to analyze and forecast time series in php?
There is a need for analysis and further forecasting of time series. Can anyone suggest ready-made solutions or developments in php on these issues?
To better understand the issue, I will give an example.
Every day a person watches TV. On weekdays, the number of TV turns on is more predictable - in the morning (watches the news before leaving for work) and in the evening (after work). On weekends, the number of TV turns on is more unpredictable.
If we have statistics on the number of TV turns on for a given person for previous periods (month, year), then how can we predict the number of turns on for the next week or month?
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It seems to me that it doesn’t matter what language it is, the algorithm is more important here. If you need libraries for predictions based on statistics, then ... I honestly met only specific implementations in the context of monitoring systems (memory consumption prediction with increasing load, etc.).
I'll throw a link to the Google Prediction API , and I'm waiting with interest for other answers, like a complete noob in this topic.
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