Determining if time series follows a pattern2019 Community Moderator ElectionHow to do this complicated data extrapolation, prediction modeling?How to deal with time series which change in seasonality or other patterns?Time series data: How I measure influence of new product sales on existing product sales (statistically)?Classification on time series dataPredicting next adverse event based on previous eventsDetect rapid increase in time seriesHow do I find a repeating pattern of unknown length and start within a stringClassification/Prediction based on Multivariate Time SeriesRegex-style pattern-matching for time seriesBranch of data science that covers event based time series?

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Determining if time series follows a pattern



2019 Community Moderator ElectionHow to do this complicated data extrapolation, prediction modeling?How to deal with time series which change in seasonality or other patterns?Time series data: How I measure influence of new product sales on existing product sales (statistically)?Classification on time series dataPredicting next adverse event based on previous eventsDetect rapid increase in time seriesHow do I find a repeating pattern of unknown length and start within a stringClassification/Prediction based on Multivariate Time SeriesRegex-style pattern-matching for time seriesBranch of data science that covers event based time series?










0












$begingroup$


I was wondering if anyone had any idea how to solve this problem.



So basically I have a dataset where some person approximately comes at some regular interval and I don't know what that interval is. I need to determine if the person comes in at approximately regular intervals, not necessarily what is the specifically value of the interval. For example if a certain person comes to my house to deliver milk over some period on say



Week 1: Mon, Wed, Fri,



Week 2:Mon, Wed, Fri



Week 3:Mon, Thu, Fri



Week 4:Mon, Wed, Fri



Week 5:Mon, Wed, Fri



Week 6:Mon, Wed, Fri



Week 7:Mon, Wed, Fri



Week 8:Mon, Thu, Fri



So as we can see out of these 8 weeks only in 2 weeks the person didn't come on Wednesday and instead came on Thursday which can be attributed to maybe a holiday the day before. So the solution to this example is that the person does follow a regular pattern.



Similarly this is another example. Say the person came on -



Mon, Thu, Sun, Wed, Sat, Tue, Fri, Mon, Wed, Sun



where this person follows a regular pattern because except for the last Wednesday he comes every fourth day.



This is an example of where a person doesn't follow a pattern, say the person came on



Mon, Wed, Sat, Fri, Thu, Fri, Wed, Fri, Sun, Sun, Sat



I have to do this for hundreds of different people.



Another equivalent problem is if I know which days over a certain period of time (say a month) some person arrives I need to determine if they follow some pattern or not



I thought about trying to fit the data into a sinusoidal curve but I'm not sure if it will work when I have a person who comes every say Mon, Tue, Fri



I'm open to any method as long as it has good accuracy. Also, depending on whichever algorithm you think is best, if possible could you share a link to some code which solves a similar problem so I can get a general idea of how I'm supposed to implement my algorithm. I'm pretty new to machine learning / data science. Thank You!










share|improve this question









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$endgroup$
















    0












    $begingroup$


    I was wondering if anyone had any idea how to solve this problem.



    So basically I have a dataset where some person approximately comes at some regular interval and I don't know what that interval is. I need to determine if the person comes in at approximately regular intervals, not necessarily what is the specifically value of the interval. For example if a certain person comes to my house to deliver milk over some period on say



    Week 1: Mon, Wed, Fri,



    Week 2:Mon, Wed, Fri



    Week 3:Mon, Thu, Fri



    Week 4:Mon, Wed, Fri



    Week 5:Mon, Wed, Fri



    Week 6:Mon, Wed, Fri



    Week 7:Mon, Wed, Fri



    Week 8:Mon, Thu, Fri



    So as we can see out of these 8 weeks only in 2 weeks the person didn't come on Wednesday and instead came on Thursday which can be attributed to maybe a holiday the day before. So the solution to this example is that the person does follow a regular pattern.



    Similarly this is another example. Say the person came on -



    Mon, Thu, Sun, Wed, Sat, Tue, Fri, Mon, Wed, Sun



    where this person follows a regular pattern because except for the last Wednesday he comes every fourth day.



    This is an example of where a person doesn't follow a pattern, say the person came on



    Mon, Wed, Sat, Fri, Thu, Fri, Wed, Fri, Sun, Sun, Sat



    I have to do this for hundreds of different people.



    Another equivalent problem is if I know which days over a certain period of time (say a month) some person arrives I need to determine if they follow some pattern or not



    I thought about trying to fit the data into a sinusoidal curve but I'm not sure if it will work when I have a person who comes every say Mon, Tue, Fri



    I'm open to any method as long as it has good accuracy. Also, depending on whichever algorithm you think is best, if possible could you share a link to some code which solves a similar problem so I can get a general idea of how I'm supposed to implement my algorithm. I'm pretty new to machine learning / data science. Thank You!










    share|improve this question









    New contributor




    maxachmed is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$














      0












      0








      0





      $begingroup$


      I was wondering if anyone had any idea how to solve this problem.



      So basically I have a dataset where some person approximately comes at some regular interval and I don't know what that interval is. I need to determine if the person comes in at approximately regular intervals, not necessarily what is the specifically value of the interval. For example if a certain person comes to my house to deliver milk over some period on say



      Week 1: Mon, Wed, Fri,



      Week 2:Mon, Wed, Fri



      Week 3:Mon, Thu, Fri



      Week 4:Mon, Wed, Fri



      Week 5:Mon, Wed, Fri



      Week 6:Mon, Wed, Fri



      Week 7:Mon, Wed, Fri



      Week 8:Mon, Thu, Fri



      So as we can see out of these 8 weeks only in 2 weeks the person didn't come on Wednesday and instead came on Thursday which can be attributed to maybe a holiday the day before. So the solution to this example is that the person does follow a regular pattern.



      Similarly this is another example. Say the person came on -



      Mon, Thu, Sun, Wed, Sat, Tue, Fri, Mon, Wed, Sun



      where this person follows a regular pattern because except for the last Wednesday he comes every fourth day.



      This is an example of where a person doesn't follow a pattern, say the person came on



      Mon, Wed, Sat, Fri, Thu, Fri, Wed, Fri, Sun, Sun, Sat



      I have to do this for hundreds of different people.



      Another equivalent problem is if I know which days over a certain period of time (say a month) some person arrives I need to determine if they follow some pattern or not



      I thought about trying to fit the data into a sinusoidal curve but I'm not sure if it will work when I have a person who comes every say Mon, Tue, Fri



      I'm open to any method as long as it has good accuracy. Also, depending on whichever algorithm you think is best, if possible could you share a link to some code which solves a similar problem so I can get a general idea of how I'm supposed to implement my algorithm. I'm pretty new to machine learning / data science. Thank You!










      share|improve this question









      New contributor




      maxachmed is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      I was wondering if anyone had any idea how to solve this problem.



      So basically I have a dataset where some person approximately comes at some regular interval and I don't know what that interval is. I need to determine if the person comes in at approximately regular intervals, not necessarily what is the specifically value of the interval. For example if a certain person comes to my house to deliver milk over some period on say



      Week 1: Mon, Wed, Fri,



      Week 2:Mon, Wed, Fri



      Week 3:Mon, Thu, Fri



      Week 4:Mon, Wed, Fri



      Week 5:Mon, Wed, Fri



      Week 6:Mon, Wed, Fri



      Week 7:Mon, Wed, Fri



      Week 8:Mon, Thu, Fri



      So as we can see out of these 8 weeks only in 2 weeks the person didn't come on Wednesday and instead came on Thursday which can be attributed to maybe a holiday the day before. So the solution to this example is that the person does follow a regular pattern.



      Similarly this is another example. Say the person came on -



      Mon, Thu, Sun, Wed, Sat, Tue, Fri, Mon, Wed, Sun



      where this person follows a regular pattern because except for the last Wednesday he comes every fourth day.



      This is an example of where a person doesn't follow a pattern, say the person came on



      Mon, Wed, Sat, Fri, Thu, Fri, Wed, Fri, Sun, Sun, Sat



      I have to do this for hundreds of different people.



      Another equivalent problem is if I know which days over a certain period of time (say a month) some person arrives I need to determine if they follow some pattern or not



      I thought about trying to fit the data into a sinusoidal curve but I'm not sure if it will work when I have a person who comes every say Mon, Tue, Fri



      I'm open to any method as long as it has good accuracy. Also, depending on whichever algorithm you think is best, if possible could you share a link to some code which solves a similar problem so I can get a general idea of how I'm supposed to implement my algorithm. I'm pretty new to machine learning / data science. Thank You!







      machine-learning time-series






      share|improve this question









      New contributor




      maxachmed is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question









      New contributor




      maxachmed is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      share|improve this question




      share|improve this question








      edited 11 mins ago







      maxachmed













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      asked 20 mins ago









      maxachmedmaxachmed

      12




      12




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      New contributor





      maxachmed is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






      maxachmed is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.




















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          ValueError: Expected n_neighbors <= n_samples, but n_samples = 1, n_neighbors = 6 (SMOTE) The 2019 Stack Overflow Developer Survey Results Are InCan SMOTE be applied over sequence of words (sentences)?ValueError when doing validation with random forestsSMOTE and multi class oversamplingLogic behind SMOTE-NC?ValueError: Error when checking target: expected dense_1 to have shape (7,) but got array with shape (1,)SmoteBoost: Should SMOTE be ran individually for each iteration/tree in the boosting?solving multi-class imbalance classification using smote and OSSUsing SMOTE for Synthetic Data generation to improve performance on unbalanced dataproblem of entry format for a simple model in KerasSVM SMOTE fit_resample() function runs forever with no result