Statistical analysis vs Data mining












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Why the A/B Testing, the Correlation and the Regression are considered methods of Statistical Analysis, while the method of "Association Rules" belong to the Data Mining field ?



Which are the difference between Statistical analysis and Data mining










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    Why the A/B Testing, the Correlation and the Regression are considered methods of Statistical Analysis, while the method of "Association Rules" belong to the Data Mining field ?



    Which are the difference between Statistical analysis and Data mining










    share|improve this question







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      Why the A/B Testing, the Correlation and the Regression are considered methods of Statistical Analysis, while the method of "Association Rules" belong to the Data Mining field ?



      Which are the difference between Statistical analysis and Data mining










      share|improve this question







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      Jhdoe is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      Why the A/B Testing, the Correlation and the Regression are considered methods of Statistical Analysis, while the method of "Association Rules" belong to the Data Mining field ?



      Which are the difference between Statistical analysis and Data mining







      data-mining statistics






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      asked 16 hours ago









      JhdoeJhdoe

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          2 Answers
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          According to Wikipedia:




          Data mining is the process of discovering patterns in large data sets
          [...]. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information [...].




          A/B testing is not about patterns, rather about testing in statistical way. Association rules fit into the definition of Data Mining, but it is still subfield of statistics. All in all both methods are from statistics, but different subfields.






          share|improve this answer









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            The key difference is that statistical analysis reports on different aspects on your data, while data mining mines for a new knowledge about it, discovering some information sometimes not expected in advance.






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              2 Answers
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              active

              oldest

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              2 Answers
              2






              active

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              active

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              0












              $begingroup$

              According to Wikipedia:




              Data mining is the process of discovering patterns in large data sets
              [...]. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information [...].




              A/B testing is not about patterns, rather about testing in statistical way. Association rules fit into the definition of Data Mining, but it is still subfield of statistics. All in all both methods are from statistics, but different subfields.






              share|improve this answer









              $endgroup$


















                0












                $begingroup$

                According to Wikipedia:




                Data mining is the process of discovering patterns in large data sets
                [...]. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information [...].




                A/B testing is not about patterns, rather about testing in statistical way. Association rules fit into the definition of Data Mining, but it is still subfield of statistics. All in all both methods are from statistics, but different subfields.






                share|improve this answer









                $endgroup$
















                  0












                  0








                  0





                  $begingroup$

                  According to Wikipedia:




                  Data mining is the process of discovering patterns in large data sets
                  [...]. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information [...].




                  A/B testing is not about patterns, rather about testing in statistical way. Association rules fit into the definition of Data Mining, but it is still subfield of statistics. All in all both methods are from statistics, but different subfields.






                  share|improve this answer









                  $endgroup$



                  According to Wikipedia:




                  Data mining is the process of discovering patterns in large data sets
                  [...]. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information [...].




                  A/B testing is not about patterns, rather about testing in statistical way. Association rules fit into the definition of Data Mining, but it is still subfield of statistics. All in all both methods are from statistics, but different subfields.







                  share|improve this answer












                  share|improve this answer



                  share|improve this answer










                  answered 15 hours ago









                  windwind

                  1517




                  1517























                      0












                      $begingroup$

                      The key difference is that statistical analysis reports on different aspects on your data, while data mining mines for a new knowledge about it, discovering some information sometimes not expected in advance.






                      share|improve this answer









                      $endgroup$


















                        0












                        $begingroup$

                        The key difference is that statistical analysis reports on different aspects on your data, while data mining mines for a new knowledge about it, discovering some information sometimes not expected in advance.






                        share|improve this answer









                        $endgroup$
















                          0












                          0








                          0





                          $begingroup$

                          The key difference is that statistical analysis reports on different aspects on your data, while data mining mines for a new knowledge about it, discovering some information sometimes not expected in advance.






                          share|improve this answer









                          $endgroup$



                          The key difference is that statistical analysis reports on different aspects on your data, while data mining mines for a new knowledge about it, discovering some information sometimes not expected in advance.







                          share|improve this answer












                          share|improve this answer



                          share|improve this answer










                          answered 15 hours ago









                          Dmytro PrylipkoDmytro Prylipko

                          1965




                          1965






















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