Once data have been prepared, we apply different descriptive data mining techniques with the main objective of discovering knowledge which could give to the webmaster team, information to improve the design of the web and increase the number of visits received, in conclusion to have more orders and clients in the future. Between techniques employed we use clustering because it gives different behaviour patterns of the user which could help to understand the use of different browser or access, in addition we apply association rule learning because experts need to analyse
rules without a target variable defined. Finally, experts have determined the use of subgroup discovery techniques because they are interested in obtaining information related to target variable such as keyword, visitor type and source.
Once data have been prepared, we apply different descriptive data mining techniques with the main objective of discovering knowledge which could give to the webmaster team, information to improve the design of the web and increase the number of visits received, in conclusion to have more orders and clients in the future. Between techniques employed we use clustering because it gives different behaviour patterns of the user which could help to understand the use of different browser or access, in addition we apply association rule learning because experts need to analyserules without a target variable defined. Finally, experts have determined the use of subgroup discovery techniques because they are interested in obtaining information related to target variable such as keyword, visitor type and source.
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