Zipf's law와 Content based blog spam filtering 기법이 구두점의 남용에 의해 무력화 될 수 있음을 파악하고 Neural network을 이용한 무력화시도의 회피 알고리즘을 에뮬레이션을 통해 증명하고자 한다.

Project Activity

See All Activity >

Categories

Chat, BBS, Email

License

Adaptive Public License

Follow Detecting Blog Spams Using Zipf's Law

Detecting Blog Spams Using Zipf's Law Web Site

You Might Also Like
Tigerpaw One | Business Automation Software for SMBs Icon
Tigerpaw One | Business Automation Software for SMBs

Fed up with not having the time, money and resources to grow your business?

The only software you need to increase cash flow, optimize resource utilization, and take control of your assets and inventory.
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Detecting Blog Spams Using Zipf's Law!

Additional Project Details

Operating Systems

Windows

Languages

Korean

Intended Audience

Information Technology, Science/Research, Advanced End Users

User Interface

Win32 (MS Windows), Project is a templating system

Programming Language

C++, C

Database Environment

Microsoft SQL Server, ADOdb

Related Categories

C++ Chat Software, C++ BBS Software, C++ Email Software, C Chat Software, C BBS Software, C Email Software

Registered

2006-12-12