Pattern Based Document Clustering and Classification in Text Corpus

computer engineering

The big issue of extracting the feature from document in text mining because of the large number of terms, phrases, and noise. The existing methods for text mining are based on term-based approaches which extract terms from a training set for describing relevant information. In this project, novel pattern discovery approach for text mining is proposed. This approach discovers closed sequential patterns in text documents for identifying the most informational contents of the documents and then utilize the these informative contents to extract useful features for text mining. To evaluate the proposed approach, need to adopt the feature extraction method for information filtering. The expected outcomes may tested on RCV1 and TREC , the proposed approach may achieve excellent performance.

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