Abstract
The paper analyzes existing approaches for approximate string matching based on linear search with Levenshtein distance, AllScan and CPMerge algorithms using cosine, Jaccard and Dice distance measures. The methods are presented and compared to our approach that improves indexing time using Locally Sensitive Hashing. Advantages and drawbacks of the methods are identified based on theoretical considerations as well as empirical evaluations on real-life dictionaries.
Citations
-
0
CrossRef
-
0
Web of Science
-
0
Scopus
Authors (3)
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- PROCEEDINGS OF THE 2016 FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS (FEDCSIS) strony 527 - 532
- ISSN:
- 2325-0348
- Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- Boguszewski A., Szymański J., Draszawka K..: Towards increasing F-measure of approximate string matching in O(1) complexity, W: PROCEEDINGS OF THE 2016 FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS (FEDCSIS), 2016, IEEE,.
- DOI:
- Digital Object Identifier (open in new tab) 10.15439/2016e311
- Verified by:
- Gdańsk University of Technology
seen 113 times
Recommended for you
Response features for fast EM-driven design of miniaturized impedance matching transformers
- A. Bekasiewicz,
- S. Kozieł,
- Q. S. Cheng
- + 1 authors
2016