Improved Method for Pattern Discovery in Text Mining

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Implementation of pattern Discovery to retrieve relevant document using text mining

Improved Method for Pattern Discovery in Text Mining

Improved Method for Pattern Discovery in Text Mining dot net project report Many data mining techniques are used to extract the patterns from the text documents. But the challenge is using those updated patterns is still a open research issue. Most of the text mining methods generally uses the term based approaches. Click here to get complete Dot Net projects lists.

The main problems faced by the term based approaches is of polysemous and synonymy. This paper focuses on the implementation of an particular discovery way to discover the pattern as well as use them to retrieve the relevant document. Two important process are used i.e pattern deploying and pattern evolving is included as the pattern discovery techniques.

Conclusion

Improved Method for Pattern Discovery in Text Mining dot net project report In the existing system some techniques of clustering algorithms included with some techniques such as association rule mining, sequential pattern mining, maximum pattern mining, and closed pattern mining. But they don’t give efficient meaningful information to user. And they also difficult and ineffective during used. The reason is that some useful long patterns with lack in support i.e., the low-frequency problem and misinterpretation problem.

System Configuration:

H/W System Configuration:- 

System          : Pentium I3 Processor.
Hard Disk       : 500 GB.
Monitor          : Standard LED Monitor
Input Devices : Keyboard
Ram               : 4 GB

S/W System Configuration:-

Operating system              : Windows 7/8/10.
Available Coding Language : Dot Net and PHP
Database                          : MYSQL

Project Name Improved Method for Pattern Discovery in Text Mining
Project Category Dot Net
Project Cost 65$/ Rs 4999
Delivery Time 48 Hour
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