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# Talisman Bibliography

[BibTex file](https://raw.githubusercontent.com/Yomguithereal/talisman/master/paper/algorithms.bib)

> Bartolini, I., Ciaccia, P., & Patella, M. (2002). String matching with metric trees using an approximate distance. International Symposium on String Processing and Information Retrieval, 271–283.
> Beider, A. (2008). Beider-Morse phonetic matching: An alternative to Soundex with fewer false hits. Avotaynu: The International Review of Jewish Genealogy, 24(2), 12.
> Black, P. E. (2004). Ratcliff/Obershelp pattern recognition. Dictionary of Algorithms and Data Structures, 17.
> Bouchard, G., Brard, P., & Lavoie, Y. (1981). FONEM: Un code de transcription phonétique pour la reconstitution automatique des familles saguenayennes. Population (French Edition), 1085–1103.
> Broder, A. Z. (1998). On the resemblance and containment of documents. Proceedings. Compression and Complexity of SEQUENCES 1997 (Cat. No.97TB100171), 21–29. https://doi.org/10.1109/SEQUEN.1997.666900
> Caumanns, J. (1999). A fast and simple stemming algorithm for German words.
> Damerau, F. J. (1964). A technique for computer detection and correction of spelling errors. Communications of the ACM, 7(3), 171–176.
> Dice, L. R. (1945). Measures of the amount of ecologic association between species. Ecology, 26(3), 297–302.
> Dong, W., Moses, C., & Li, K. (2011). Efficient k-nearest neighbor graph construction for generic similarity measures. Proceedings of the 20th International Conference on World Wide Web - WWW ’11, 577. https://doi.org/10.1145/1963405.1963487
> Guth, G. J. (1976). Surname spellings and computerized record linkage. Historical Methods Newsletter, 10(1), 10–19.
> Hamming, R. W. (1950). Error detecting and error correcting codes. The Bell System Technical Journal, 29(2), 147–160.
> Harman, D. (1991). How effective is suffixing? Journal of the American Society for Information Science, 42(1), 7–15.
> Holmes, D., & McCabe, C. M . (2002). Improving precision and recall for soundex retrieval. Proceedings. International Conference on Information Technology: Coding and Computing, 22–26.
> Hood, D. (2002). Caverphone: Phonetic matching algorithm. Technical Paper CTP060902, University of Otago, New Zealand.
> Hood, D. (2004). Caverphone revisited. Technical Paper CTP150804, 10.
> Jaccard, P. (1912). The distribution of the flora in the alpine zone. 1. New Phytologist, 11(2), 37–50.
> Jaro, M. A. (1989). Advances in record-linkage methodology as applied to matching the 1985 census of Tampa, Florida. Journal of the American Statistical Association, 84(406), 414–420.
> Jaro, M. A. (1995). Probabilistic linkage of large public health data files. Statistics in Medicine, 14(5–7), 491–498.
> Jenkins, M.-C., & Smith, D. (2005). Conservative stemming for search and indexing. Proc. ACM SIGIR.
> Khan, S. I., & Hoque, A. S. Md. L. (2016). Similarity analysis of patients’ data: Bangladesh perspective. 2016 International Conference on Medical Engineering, Health Informatics and Technology (MediTec), 1–5. https://doi.org/10.1109/MEDITEC.2016.7835390
> Kiss, T., & Strunk, J. (2006). Unsupervised multilingual sentence boundary detection. Computational Linguistics, 32(4), 485–525.
> Lait, A. J., & Randell, B. (1996). An assessment of name matching algorithms. Technical Report Series-University of Newcastle Upon Tyne Computing Science.
> Levenshtein, V. I. (1966). Binary codes capable of correcting deletions, insertions, and reversals. Soviet Physics Doklady, 10(8), 707–710.
> Liang, F. M. (1983). Word Hy-phen-a-tion by Com-put-er. Calif. Univ. Stanford. Comput. Sci. Dept.
> Lovins, J. B. (1968). Development of a stemming algorithm. Mech. Translat. &Comp. Linguistics, 11(1–2), 22–31.
> Lynch, B. T., & Arends, W. L. (1977). Selection of a surname coding procedure for the SRS record linkage system. Washington, DC: US Department of Agriculture, Sample Survey Research Branch, Research Division.
> Monge, A. E., Elkan, C., & others. (1996). The Field Matching Problem: Algorithms and Applications. Kdd, 2, 267–270.
> Moore, G. B. (1977). Accessing individual records from personal data files using non-unique identifiers (Vol. 13). US Department of Commerce, National Bureau of Standards.
> Nakache, D. (2007). Extraction automatique des diagnostics à partir des comptes rendus médicaux textuels. Laboratoire CEDRIC-Équipe ISID. Paris, Conservatoire National Des Arts et Métiers, 219.
> Odell, M. K. (1956). The profit in records management. Systems (New York), 20, 20.
> Paice, C. D. (1990). Another stemmer. ACM Sigir Forum, 24(3), 56–61.
> Paternostre, M., Francq, P., Lamoral, J., Wartel, D., & Saerens, M. (2002). Carry, un algorithme de désuffixation pour le français. Rapport Technique Du Projet Galilei.
> Philips, L. (1990). Hanging on the metaphone. Computer Language, 7(12), 39–43.
> Philips, L. (2000). The double metaphone search algorithm. C/C++ Users Journal, 18(6), 38–43.
> Pollock, J. J., & Zamora, A. (1984). Automatic spelling correction in scientific and scholarly text. Communications of the ACM, 27(4), 358–368. https://doi.org/10.1145/358027.358048
> Postel, H. J. (1969). Die Kölner Phonetik. Ein Verfahren zur Identifizierung von Personennamen auf der Grundlage der Gestaltanalyse. IBM-Nachrichten, 19, 925–931.
> Ratcliff, J. W., & Metzener, D. E. (1988). Pattern-matching-the gestalt approach. Dr Dobbs Journal, 13(7), 46.
> Savoy, J. (1993). Stemming of French words based on grammatical categories. Journal of the American Society for Information Science, 44(1), 1–9.
> Savoy, J. (1999). A stemming procedure and stopword list for general French corpora. Journal of the American Society for Information Science, 50(10), 944–952.
> Schinke, R., Greengrass, M., Robertson, A. M., & Willett, P. (1996). A stemming algorithm for Latin text databases. Journal of Documentation.
> Shannaq, B. A., & Alexandrov, V. V. (2010). Using Product Similarity for Adding BusinessValue and Returning Customers. Global Journal of Computer Science and Technology.
> Smith, T. F., Waterman, M. S., & others. (1981). Identification of common molecular subsequences. Journal of Molecular Biology, 147(1), 195–197.
> Snae, C., & Diaz, B. (2002). An interface for mining genealogical nominal data using the concept of linkage and a hybrid name matching algorithm. Journal of 3D-Forum Society, 16(1), 142–147.
> Sørensen, T. (1948). A method of establishing groups of equal amplitude in plant sociology based on similarity of species content and its application to analyses of the vegetation on Danish commons.
> Tversky, A. (1977). Features of similarity. Psychological Review, 84(4), 327.
> Van Rijsbergen, C. J., Robertson, S. E., & Porter, M. F. (1980). New models in probabilistic information retrieval. British Library Research and Development Department London.
> Varol, C., & Bayrak, C. (2012). Hybrid matching algorithm for personal names. Journal of Data and Information Quality (JDIQ), 3(4), 1–18.
> Wilde, G., & Meyer, C. (1999). Doppelgänger gesucht: Ein Programm für kontextsensitive phonetische Textumwandlung. c.
> Winkler, W. E. (1990). String Comparator Metrics and Enhanced Decision Rules in the Fellegi-Sunter Model of Record Linkage.
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