Hierarchy-Cutting Model Based Association Semantic for Analyzing Domain Topic on the Web

Hierarchy-Cutting Model-Based Association Semantic for Analyzing Domain Topic on the Web is a project report that focuses on the analyzing of the domain topic. Intelligent services are essential to organize massive web information. The analysis of the domain topic is of utmost importance that can help in easy management of the hierarchy cutting model easily. The hierarchy cutting models can help in providing an analyzing the domain topic on the web easily. The searching efficiency is also possible with the help of the hierarchy cutting model. It can also help in providing high-end accuracy easily. The mini project report on hierarchy-cutting model based association semantic for analyzing domain topic on the Web is available. The users can free download abstract, synopsis on pdf to understand the effects of hierarchy-cutting model based association semantic for analyzing domain topic on the Web.

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Topics Covered:
01)Introduction
02)Objectives, ER Diagram
03)Flow Chats, Algorithms used
04)System Requirements
05)Project Screenshots
06)Conclusion, References