Second Order Mutual Information based Grey Wolf Optimization for effective storage and de-duplication
| Autor: | Jagdish Bakal, Jyoti Malhotra |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Multidisciplinary
Computer science Fingerprint (computing) 020206 networking & telecommunications 02 engineering and technology Mutual information computer.software_genre Metadata server Metadata Index (publishing) Similarity (network science) Order (business) 0202 electrical engineering electronic engineering information engineering Data deduplication 020201 artificial intelligence & image processing Data mining computer |
| Zdroj: | Sādhanā. 43 |
| ISSN: | 0973-7677 0256-2499 |
| DOI: | 10.1007/s12046-018-0939-2 |
| Popis: | This paper intends to perform de-duplication for enhancing the storage optimization by utilizing the similarity in mutual information. Hence, this paper contributes by proposing a hybrid fingerprint extracting using SH and HC algorithms. Secondly, the data is clustered using the latest technique called as SOMI-GO to extract the metadata. The extracted metadata is stored in metadata server which provides better storage optimization and de-duplication. SOMI-GO is adopted as it provides maximum second-order mutual information based on the similarity index. The proposed SOMI-GO technique is compared with the existing methods such as K-means, K-mode, ED-PSO, ED-GA and ED-GWO in terms of accuracy, TPR, TNR and performance time and the significance of the SOMI-GO method is described. |
| Databáze: | OpenAIRE |
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