Detecting Blog Spams Using Zipf's Law Icon

Detecting Blog Spams Using Zipf's Law

alpha
Add a Review
0 Downloads (This Week)
Last Update:
  Browse Code CVS Repository

Description

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.

Detecting Blog Spams Using Zipf's Law Web Site

Categories

BBS, Chat, Email

License

Adaptive Public License

KEEP ME UPDATED

Write a Review

User Reviews

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

Additional Project Details

Languages

Korean

Intended Audience

Advanced End Users, Information Technology, Science/Research

User Interface

Project is a templating system, Win32 (MS Windows)

Programming Language

C, C++

Registered

2006-12-12

Thanks for helping keep SourceForge clean.

Screenshot instructions:
Windows
Mac
Red Hat Linux   Ubuntu

Click URL instructions:
Right-click on ad, choose "Copy Link", then paste here →
(This may not be possible with some types of ads)

More information about our ad policies
X

Briefly describe the problem (required):

Upload screenshot of ad (required):
Select a file, or drag & drop file here.

Please provide the ad click URL, if possible:

Get latest updates about Open Source Projects, Conferences and News.

Sign up for the SourceForge newsletter:

No, thanks