Fraud Detection in Web Advertisement

Project Abstract / Summary : The improvement of the technology and web-based application over the crime and fraud give best result in online advertisement. In recent years fraud is major problem in online advertising. It can affect the trust, beliefs and encouragement of the customer on online marketing. In this thesis, the development of this system can be done using Naïve Bayes classifier and Apriori algorithm.The system can find fraud or scam in web based marketing and advertisement .

Why did you choose to work on this project topic : Main aim of development of this system is public awareness which is very important in today’s market.It can also give the solution to the fake advertisement.The system can find fraud or scam in web based marketing and advertisement .The online advertisement provide powerful mechanism to advertisers to handle the web users. The web application can contain the vast data and related things. We have to collect and management these data. For that in online searching the most important thing is data management. These problem become more challenging when some form of uncertainty in data or their relationship in data exists. Also the searching topics can have different domain including databases, data mining, algorithms, networking and many more.

Project Category : CS / IT / Networking
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Institute/College Name: Sanjeevani Rural Education Socitys College Of Engineering
City: Kopargaon
State: Maharashtra
Participating Team From: Final Year