Buy Interview question books from our shops. So below are the questions and its proposed answer which will help reader to improve fundamentals of Data Mining in SSAS. Data Mining is nothing but some kind of logic or algorithm running ssis and ssrs tutorial pdf genuine historical data to bring out some kind of prediction. So Data Mining means mining or hunting from the genuine historical data using some algorithms to do prediction, forecasting, etc.
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Now to make that algorithm alive or useful that algorithm has to be trained. Training an algorithm means that algorithm is running on a genuine historical data and as soon as it runs on the genuine data the algorithm starts working and puts some mind into it. By running on the data it will try to figure out what will be the future prediction of the data. In short we say that to train an algorithm we have to make that algorithm to run on genuine data and this is how the algorithm gets trained.
Now trained means we are artificially putting some intelligence on a dead algorithm so that it can think in terms of that data to do forecasting, predictions, etc. In what scenarios would we use Time Series Algorithm? The Time Series Algorithm is used in scenarios where we want to do forecasting like about the annual sales, annual sales profit and various other forecasting. What type of project will we select for Data Mining? For Data Mining we will select our regular Multidimensional project as we used to select the project when we were doing SSAS.