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Pattern discovery for text mining using pattern taxonomy miss dipti s.charjan #1, prof. Mukesh a.pund *2.
| Content Provider | CiteSeerX |
|---|---|
| Author | Scholar, M. E. Gadge, Sant |
| Abstract | Abstract—In this paper, we focused on developing efficient mining algorithm for discovering patterns from large data collection. and search for useful and interesting patterns. In the field of text mining, pattern mining techniques can be used to find various text patterns, such as frequent itemsets, closed frequent itemsets, co-occurring terms. This paper presents an innovative and effective pattern discovery technique which includes the processes of pattern deploying and pattern evolving, to improve the effectiveness of using and updating discovered patterns for finding relevant and interesting information. In proposed system we can take sufficient.txt file as inputs & we apply various algorithms & generate expected results. Text-mining refers generally to the process of extracting interesting and non-trivial information and knowledge from unstructured text. An important difference with search is that search requires a user to know what he or she is looking for while text mining attempts to discover information in a pattern that is not known beforehand. Keywords—Text mining, text classification, pattern mining, pattern evolving, information filtering I. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Pattern Discovery Mukesh A.p Frequent Itemsets Pattern Evolving Effective Pattern Discovery Technique Keywords Text Mining Pattern Deploying Non-trivial Information Text-mining Refers Proposed System Unstructured Text Information Filtering Interesting Information Various Text Pattern Large Data Collection Text Mining Interesting Pattern Pattern Mining Text Classification Text Mining Attempt Important Difference Txt File Co-occurring Term Various Algorithm Generate Pattern Mining Technique Efficient Mining Algorithm |
| Content Type | Text |
| Resource Type | Article |