Fuzzy string matching in r

    • [DOC File]An Introduction to R

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      The help.search command uses “fuzzy matching” to find alias, concept, or title matches with the argument provided. For example, > help.search(“boxplot”) produces the output ... > “Here is a character string” -> y. we have > mode(y) [1] "character" The R function c concatenates elements into a list. Note the following: > days

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    • John Miyamoto - University of Washington

      Searches the R help system for documentation matching a given character string in the (file) name, alias, title, concept or keyword entries (or any combination thereof), using either fuzzy matching. or regular expression. matching. Names and titles of the matched help entries are displayed nicely. See also 'RSiteSearch'.

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    • [DOCX File]www.cse.iitb.ac.in

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      Parallel Corpus Filtering Based on Fuzzy String Matching. WMT (3) 2019: 289-293. Sukanta Sen, Kamal Kumar Gupta, Asif Ekbal, Pushpak Bhattacharyya: IITP-MT System for Gujarati-English News Translation Task at WMT 2019. WMT (2) 2019: 407-411.

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    • [DOC File]Using Fuzzy k-Modes to Analyze Patterns of System Calls ...

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      Bezdek presents a generalized version of the Fuzzy Clustering Algorithm (FCM). Dave, R. (1992) Generalized fuzzy C-shells clustering and detection of circular and elliptic boundaries. Pattern Recognition. vol 25. pp. 713-722. Dave presents a fuzzy clustering algorithm for data that contains circular and elliptical boundaries.

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    • [DOC File]Named Entity Recognition for Indian Languages

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      Phonetic matching is a fuzzy string matching technique in which we match strings on the basis of their similar sounding property and not identity. Most common phonetic matching techniques are Soundex and Editex. These techniques are used to match two representations of the same name in English. We survey the techniques in the following subsections.

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    • [DOC File]Software tools for integration methodologies

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      It is also possible the usage of different comparison functions. DataFlux performs approximate matching (called “fuzzy matching”) between strings corresponding to same fields. A sensitivity of the result of the matching strings is computed on the basis of how many characters of are used for approximate matching.

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    • [DOC File]John Miyamoto - University of Washington

      https://info.5y1.org/fuzzy-string-matching-in-r_1_6782fd.html

      Searches the R help system for documentation matching a given character string in the (file) name, alias, title, concept or keyword entries (or any combination thereof), using either . fuzzy matching. or . regular expression. matching. Names and titles of the matched help entries are displayed nicely. See also 'RSiteSearch'. identical

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    • [DOCX File]A GENERAL SOLUTION FOR THE PROBLEM OF TNRS: A …

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      Prior to submitting names to the parsing and fuzzy-matching applications, family names pre-pended to species names are removed by searching the initial string of the name for standard family endings (“aceae” and “idae”) and checking against a list of conserved plant family names (Gramineae, Compositae, etc.; although plant-specific, the ...

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    • [DOCX File]Home | Manipal University Jaipur - 67 years of legacy of ...

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      Algorithms on arrays: Linear-time median finding, sorting in linear time (counting sort, radix sort, bucket sort), String matching (Rabin-Karp and Knuth-Morris-Pratt algorithms). Graph algorithms Traversal: (BFS, DFS, topological sort), Minimum spanning trees (Prim and Kruskal algorithms), shortest paths (Dijkstra’s and Floyd-Warshal algorithms).

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