04-06-2012, 03:58 PM
PREDICTING MISSING ITEMS IN SHOPPING CARTS
predcting missing item in shopping carts.ppt (Size: 222 KB / Downloads: 0)
Introduction of Project:
Using the recently proposed data structure of item set trees (IT-trees), we obtain, in a computationally efficient manner, all rules whose antecedents contain at least one item from the incomplete shopping cart.
Then, we combine these rules by uncertainty processing techniques, including the classical Bayesian decision theory and a new algorithm based on the Dempster-Shafer (DS) theory of evidence combination
EXISTING SYSTEM
Research in association mining has focused mainly on how to expedite the search for frequently co-occurring groups of items in “shopping cart” type of transaction
PROPOSED SYSTEM
The prediction task was mentioned as early as in the pioneering association mining paper by Agrawal, but the problem is yet to be investigated in the depth it deserves.
To the latter task by proposing a technique that uses partial information about the contents of a shopping cart for the prediction of what else the customer is likely to buy
Proposed data structure of item set trees (IT-trees).
Register module
In this Module User Can give the personal Info these details will be insert in to database.
After registration he can get the user id and password.
Admin module
In this Module admin can login in to the system by giving user id and password after login he can add the item details and he can view the order details.