Predicting missing items in SHOPPINGCART

VAAGDEVI institute of technology and science H.O.D: Mr.S.SivaRamaiah MCA,M.TECH. GUIDE: Mr.M.Suresh, B.TECH. PROJECT TRAINEE: J.Kanyakumari, 08L21F0019.

Project Review Committee Members Mr.S.SivaRamaiah,H.O.D MCA,M.TECH Smt.M.VijayaLakshmi, MCA Smt.G.Sravani, MCA Smt.G.PavaniLatha, MCA Mr.V.Nageswara Reddy, MCA

ABSTRACT Existing research in association with mining has focused mainly on how to expedite the search for frequently co-occurring groups of items in “shopping cart” type of transactions less attention has been paid to methods that exploit these “frequent itemsets”for prediction purposes. This project contributes 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.

MODULES ADMIN:- The admin module contains all the details of the shopping complex. This module contains the items that are present and cost of the item related to the product.

User Details: In this module the administrator of the organization is to create the new user. The new user has unique id and some confidential information. This information shared only by the admin and the corresponding user.

Item List: In this module the administrator knows the details that the number of items present in the shopping carts and also able to know the details of missing items.

Uml diagrams Items list Create New user AdminUser Missing item Usecase diagram

Class diagram role user Items process user role() Users role name job Items process() administrator name, password new_user() role() Items_process()

State diagram Create User User Name Create () Item list User Role assign ( ) User login Uname, password login ( ) Item details User process ( )

Activity diagram

Sequence diagram AdminItem listUserItem details Create User Items quantity Admin list Items

Component diagram Admin User Doctor Power Backup Staffs Items list Item details

E.R diagram Doctor Power User Backup Staffs Admin User Has Patient Doctor Staff Has Database Has Patient Drug Patients

Data Flow diagram

Queries

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