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POData Mining situation
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copied!<p>Suppose I have the data as mentioned below.</p> <p>11AM user1 Brush</p> <p>11:05AM user1 Prep Brakfast</p> <p>11:10AM user1 eat Breakfast</p> <p>11:15AM user1 Take bath</p> <p>11:30AM user1 Leave for office</p> <p>12PM user2 Brush</p> <p>12:05PM user2 Prep Brakfast</p> <p>12:10PM user2 eat Breakfast</p> <p>12:15PM user2 Take bath</p> <p>12:30PM user2 Leave for office</p> <p>11AM user3 Take bath</p> <p>11:05AM user3 Prep Brakfast</p> <p>11:10AM user3 Brush</p> <p>11:15AM user3 eat Breakfast</p> <p>11:30AM user3 Leave for office</p> <p>12PM user4 Take bath</p> <p>12:05PM user4 Prep Brakfast</p> <p>12:10PM user4 Brush</p> <p>12:15PM user4 eat Breakfast</p> <p>12:30PM user4 Leave for office</p> <p>This data tell me about the daily routine of different people. From this data it seems user1 and user2 behave similarly (though there is a difference in time they perform the activity but they are following the same sequence). With the same reason, User3 and User4 behave similarly. Now I have to group such users into different groups. In this example, group1- user1 and USer2 ... followed by group2 including user3 and user4</p> <p>How should I approach this kind of situation. I am trying to learn data mining and this is an example I thought of as a data mining problem. I am trying to find an approach for the solution, but I can not think of one. I believe this data has the pattern in it. but I am not able to think of the approach which can reveal it. Also, I have to map this approach on the dataset I have, which is pretty huge but similar to this :) The data is about logs stating occurrence of events at a time. And I want to find the groups representing similar sequence of events.</p> <p>Any pointers would be appreciated.</p>

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