MIST: Top-k Approximate Sub-string Mining Using Triplet Statistical Significance

Author:

Dutta Sourav

Publisher

Springer International Publishing

Reference21 articles.

1. Baeza-Yates, R., Navarro, G.: New and Faster Filters for Multiple Approximate String Matching. Random Structures & Algorithms 20(1), 23–49 (2002)

2. Baeza-Yates, R.A., Ribeiro-Neto, B.A.: Modern Information Retrieval - the Concepts and Technology behind Search. Pearson Edu. Ltd. (2011)

3. Cucerzan, S., Brill, E.: Spelling Corrections as an Interactive Process that Exploits the Collective Knowledge of Web Users. In: EMNLP, pp. 293–300 (2004)

4. Deng, D., Li, G., Feng, J., Li, W.S.: Top-k string similarity search with edit-distance constraints. In: ICDE, pp. 925–936 (2013)

5. Lecture Notes in Computer Science;S. Dutta,2010

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