Stock Market Analysis Using Combined Intra-Inter Transaction Algorithm

We present the approach to find out the association within inter-transaction with different window lengths. This approach first mines rules among the same transaction and then find out rules among different transactions with different window length is called as Combined Intra-Inter transaction approach This experimental work find out the effect of window length and select the minimum window length which will be best suited for processing huge amount of data. We conclude that this approach is a promising one and will be suitable for predictions and useful in stock trading platforms for proper investment in Real Estate depending on the finance sector.