EFFECTIVE PATTERN DISCOVERY FOR TEXT MINING USING HIDDEN PATTERN FILTER SORTING TECHNIQUES
In this paper, the emergence of the internet, billions of websites were created, which made it hard for the average user to extract useful information from the web efficiently for a specific search. For resolving a problem we can make exact information search system. In this system admin can upload the data’s and also mention the important words are as keywords. If users search some information, first we can separate as individual keywords that can compare with the uploaded files keywords to finds the exact matching information. And also it have some symbolic meaning to symbols (+, - etc...) if we specify (+) between words it add the information if we specify (-) between words it eliminates that specific information. According to this we can make a search process easily and also make an accuracy results to the users.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-02-21
- DOI
- https://doi.org/10.5281/zenodo.14904230
- Primary Topic
- Advanced Text Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00