Community Detection Algorithm for Social Networking: FaNClust
We are thankful to Almighty Allah for his blessings for the successful completion of our thesis. Ourheartiestgratitude,profoundindebtednessanddeeprespectgotooursupervisor, Md. Mahboob Karim, Instructor Class-A, Department of Computer Science and Engineering, Military Institute of Science and Technol...
Tallennettuna:
| Päätekijät: | , , , |
|---|---|
| Aineistotyyppi: | Opinnäyte |
| Kieli: | englanti |
| Julkaistu: |
Department of Computer Science and Engineering, Military Institute of Science and Technology
2015
|
| Aiheet: | |
| Linkit: | http://hdl.handle.net/123456789/150 |
| Tagit: |
Ei tageja, Lisää ensimmäinen tagi!
|
Samankaltaisia teoksia: Community Detection Algorithm for Social Networking: FaNClust
- Community-based health organizations : advocating for improved health /
- Fault Detection and Localization of 8 bit Digital to Analog Converter Circuit
- Analyzing the Performance of Deep Learning Models for Detecting Hate Speech on Social Media Platforms
- Bit Enabled Wdm Avionics Optical Network: A Study In Reliability, Mtbf & Comparison With Non-Bit Based Avionics Maintenance Cycle
- SENTIMENT ANALYSIS OF MULTI-REGIONAL AND MULTILINGUAL TRENDING YOUTUBR VIDEOS USING A MODIFIED DEEP LEARNING MODEL /
- Architecture and Community : Building in the Islamic World Today /