Web Based Application and Data Mining Techniques for Large Shopping malls |
Author(s): |
| Sanketkumar Karve , smt. Kashibai Navale College of Engineering; Rahul Borkar, smt. Kashibai Navale College of Engineering; Mahesh Landge, smt. Kashibai Navale College of Engineering; Mukesh Landge, smt. Kashibai Navale College of Engineering; Prof. Roma Kudale, smt. Kashibai Navale College of Engineering |
Keywords: |
| E-commerce, Data mining, feature Selections, Online shopping |
Abstract |
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In Large shopping malls it is nearly impossible for customers to visit every shop in a single day. Moreover they are likely to be dissatisfied and complaint about lengthy billing process. Thus under consideration we come with a solution i.e., Shopping Malls provide a web based service for customers only inside mall. Devices which support wireless network (i.e., Wi-Fi) and web browser are used. It is impossible for big mall to explore complete mall and interested offers in a day. Thus, for customers, web service provides various feature like making check list of items to buy, interested offer and selective shops to visit. Upcoming or live offers are flash on display of customer. This service is also beneficial for shopkeepers. The data which is obtain form customers can be analyze (i.e., Mining data) which gives shopkeepers better understanding of customers’ needs and demand |
Other Details |
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Paper ID: IJSRDV3I110488 Published in: Volume : 3, Issue : 11 Publication Date: 01/02/2016 Page(s): 862-864 |
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