Data Mining Techniques Based on Effective Pattern Discovery
| Autor: | Debnath Bhattacharyya, S. Suresh Babu, CH . M. H. Saibaba, Vahiduddin Shariff |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Information retrieval
Computer Networks and Communications Computer science media_common.quotation_subject Unstructured data computer.software_genre ComputingMethodologies_DOCUMENTANDTEXTPROCESSING Quality (business) Noise (video) Data mining K-optimal pattern discovery computer Software media_common |
| Zdroj: | International Journal of u- and e- Service, Science and Technology. 9:197-202 |
| ISSN: | 2005-4246 |
| DOI: | 10.14257/ijunesst.2016.9.7.20 |
| Popis: | The extraction of similar features based on quality is called pattern discovery to the huge number of terms, phrases and noise. Identifying the better pattern discovery is the major problem to extract the accurate information from the text documents because of the noise and unwanted data present in the text documents. In this paper, pattern discovery is used to find the frequent item sets and reducing the noise from text documents and implement the advanced pattern discovery approach. In this paper, for implementation we use .txt files with unstructured data to find the efficient patterns. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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