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I have a dataset for events occurred in past year and other measurement around event for past one day, so if I have 10 events in past year I would have 10 days data just before the event for all the measurements. Measurements are more than 100. What kind of model I can use to predict the events? or what kind of algorithms I should try which are recommended by experts. Data is at seconds interval or I can aggregate it to any other frequency.

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  • $\begingroup$ your question confuses me. Perhaps you can post your data or a simile $\endgroup$ – IrishStat Sep 1 '17 at 20:58
  • $\begingroup$ @IrishStat I will try to produce sample data for same. If you can point out what part in question is confusing I will try to explain it better. Thanks $\endgroup$ – asad.taj Sep 11 '17 at 6:43

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