A PARTIAL RATIO AND RATIO BASED FUZZY-WUZZY PROCEDURE FOR CHARACTERISTIC MINING OF MATHEMATICAL FORMULAS FROM DOCUMENTS

Journal Title: ICTACT Journal on Soft Computing - Year 2018, Vol 8, Issue 4

Abstract

Retrieval of mathematical text from data is a key predicament in present circumstances. To achieve this, we have considered three different algorithms viz., Sequence matcher, Levenshtein Distance and Fuzzy-Wuzzy. Two different variants of Fuzzy-Wuzzy are found applicable to this study out of four variants. Performance of these variants in retrieving mathematical texts, is calculated using efficiency measure, sensitivity analysis and time series exploration. Fuzzy-Wuzzy partial ratio algorithm scored better over the other variants on efficiency measure and sensitivity analysis.

Authors and Affiliations

Appa Rao G

Keywords

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  • EP ID EP532589
  • DOI 10.21917/ijsc.2018.0242
  • Views 56
  • Downloads 0

How To Cite

Appa Rao G (2018). A PARTIAL RATIO AND RATIO BASED FUZZY-WUZZY PROCEDURE FOR CHARACTERISTIC MINING OF MATHEMATICAL FORMULAS FROM DOCUMENTS. ICTACT Journal on Soft Computing, 8(4), 1728-1732. https://europub.co.uk/articles/-A-532589