• Syed Imtiyaz Hassan
• Md. Omair Ahmad
• M. Afshar Alam

The usage of online shopping portal has made the shopping easy in a sense that one can purchase a product without visiting the shop physically. In another way, it is also difficult to shop online as there are a number of similar product offered by different online shopping portal with difference in cost. So, for getting value for money one has to explore each portal and then need to compare the cost. It is a difficult, time consuming and sometimes confusing task. As the data generated from such searches are unstructured big data, a specialized techniques must be applied. This research is an attempt to make the life of online buyers easy by mining some valuable information that a customer generally looks for. By processing unstructured big data generated from online shopping portal searches, the proposed technique extract minimum (or maximum) cost product offered by various online shopping portal, product wise and date wise. Along with the minimum cost of various product searched, minimum cost of other related products have also been mined. For this purpose five data sets have been generated from searches of various online shopping portals. Hadoop and Map Reduce is used to process large amount of data set in parallel. Java and Eclipse IDE have been used for necessary coding and for execution environment. Tibco Spotfire is used for graphical visualization and data analytics.

Data Mining, Data Analytics, Big data, Web Content Mining, Hadoop Framework, Map Reduce, Tibco Spotfire

"Using Unstructured Big Data and Web Content Mining for Price Spread Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.464-471, December-2018, Available :http://www.jetir.org/papers/JETIR1812161.pdf

"Using Unstructured Big Data and Web Content Mining for Price Spread Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp464-471, December-2018, Available at : http://www.jetir.org/papers/JETIR1812161.pdf