algorithm - Different Data sets for classification and timeseries analysis? -

i'm new predictive analytics , want analyze data timeseries , classification algorithms. have prepare data sets myself, wanted ask if have create different datasets each analysis? if so, there rules can follow?

thank in advance

short answer: no, can build time series data , use classification

long answer!: time series model of data representation integrate time or time periods. can build time series data , label it, can classify model different class , use classification algorithm predict classes. it's read classification articles improve sight.

notice different between classification , regression. classification used discreet values , regression used continuous values: https://math.stackexchange.com/questions/141381/regression-vs-classification

also time series might become advance concept in situation. it's not such easy task in problem. there statistical concepts(e.g arma and...) must use in order , efficient data mining task.

if familiar r, good: http://www.rdatamining.com/examples/time-series-clustering-classification

for python, read this: http://alexminnaar.com/time-series-classification-and-clustering-with-python.html