Download Consumer Market Bask..

Market Based Analysis for consumer correct
decision
ABSTRACT
Decision making and understanding the behavior of the customer has become vital
and challenging problem for organizations to sustain their position in the competitive
markets. Technological innovations have paved breakthrough in faster processing of
queries and sub-second response time. Data mining tools have become surest weapon
for analyzing huge amount of data and breakthrough in making correct decisions. To
analyze the huge amount of data thereby exploiting the consumer behavior and make
the correct decision leading to competitive edge over rivals. Experimental analysis has
been done employing association rules using Market Basket Analysis to prove its
worth over the conventional methodologies.
EXISTING SYSTEM:
The Existing System is to making decision and understanding the behavior of
the customer has become vital and challenging problem for organizations to sustain
their position in the competitive markets.
Disadvantage:

The existing system did not use the combination of association rules and data
warehousing.
PROPOSED SYSTEM:
The proposed system is to analyze the huge amount of data thereby exploiting the
consumer behavior and make the correct decision leading to competitive edge over
rivals. Experimental analysis has been done employing association rules using Market
Basket Analysis to prove its worth over the conventional methodologies. The
proposed approach makes use of the traditional Apriori algorithm to generate a set of
association rules from a database.
Advantage:
1. To make the correct decision leading to competitive edge over rivals.
2. The proposed system to using the association rules with data warehousing.
MODULES:
1. Admin login
2. Query-similarity
3. User-similarity
4. Association rules
Admin login:
In This Module admin maintained various products of
and Electronic Details with several databases.
Food
The databases have Food and
Electronic cost, details, and Performance of Food and Electronic details like various
products, etc., and also has Enhancement like Quality, Quantity, less cost etc.,
Query-similarity:
When customer login and search the Food and Electronic details with specific
price. Then Food and Electronic details to be appeared with the customer to desire
and wish. Details are displayed from different types of databases, using join query.
Then, he gives feedback to that product.
User - Similarity:
If he, expected more details for various product he go to search
via user-similarity. It shows more details. Then he takes decision and once again
search he wish. Then give another feedback to that product.
Association rules:
Association rule mining is a two step process: i) Find all frequent item set. By
definition each item set will occur at least as frequently as a pre-determined minimum
support count. ii) Generate strong association rules from the frequent item set: these
rules must satisfy minimum support and minimum confidence.
Hardware Requirements:
•
System
: Pentium IV 2.4 GHz.
•
Hard Disk
: 80 GB.
•
Floppy Drive : 1.44 Mb.
•
Monitor
: 15’ VGA Colour.
•
Mouse
: Optical Mouse
•
RAM
: 512 MB.
Software Requirements:
•
Operating system
: Windows XP.
•
Coding Language
: ASP.Net with C#
•
Data Base
: SQL Server 2005