Hi, I am new in KNIME and I want to develop a forecasting data mining model to predict seasonality and trend. I have data set like
Date ITEM_KEY ORDER_QTY LINE_AMOUNT (ORDER_QTY*Sale Price)
21/03/2013 I1 20 60
22/03/2013 I1 30 90
23/03/2013 I1 5 15
24/03/2013 I1 2 6
…….
20/03/2014 I1 25 75
21/03/2014 I1 21 63
22/03/2014 I1 3 9
23/03/2014 I1 4 12
In my data weekend is always low sale rather than working day because weekend customers order very less. As for example 23/03/2013 -24/03/2013 is the weekend sale and same 22/03/2014- 23/03/2014 also weekend sale and If we compare 22/03/2013 (business day) sale is 30 items but same date 22/03/2014 (weekend) sale is 3.
Similar Christmas sale, mother’s day sale, valentine sale data exist in my data set.
From my data set (last 3 years data) I want to predict the future sale for 24/03/2014 - 10/04/2014 daily basis sales forecast. i.e.
Date ITEM_KEY Order_QTY
24/03/2014 I1 ?
25/03/2014 I1 ?
26/03/2014 I1 ?
27/03/2014 I1 ?
28/03/2014 I1 ?
Please can anyone provide me the guidance how to do it in KNIME and it will be great if someone provide me a workflow as well.
Thanks.