This work aims to design and develop a system for fast searching of variable length of strings taking the advantage of using the enumeration and multilevel hashing to improve the searching time by providing a semi-uniform searching performance, with the use of weighting scheme and some data structure concepts. The designed system takes into consideration various kinds of factors that affect the searching process (e.g. the search space size). Also, in order to provide an efficient system performance capable of handling some spelling mistakes an updated algorithm for string similarity measure was proposed, which is a combined set of well-known algorithms with some improvements by using certain conditions which are introduced after conducting on a number of experimental tests. The proposed algorithm “Optimized Dice Coefficient, N-grame and Damerau-Levenshtein Algorithms using Numeration Operations (ODADNN)” provides efficient results to assess the similarity between two words without the need to restrict the words length.
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Safa S.Abdul-Jabbar received her bachelor degree in the field of computer science from University of Baghdad/College of Science for Women, in 2009.Then,she is working as a lecturer at the Computer Science Department/College of Science for Women/University of Baghdad up till now. In 2017 she is received her master’s degree from University of Baghdad
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work aims to design and develop a system for fast searching of variable length of strings taking the advantage of using the enumeration and multilevel hashing to improve the searching time by providing a semi-uniform searching performance, with the use of weighting scheme and some data structure concepts. The designed system takes into consideration various kinds of factors that affect the searching process (e.g. the search space size). Also, in order to provide an efficient system performance capable of handling some spelling mistakes an updated algorithm for string similarity measure was proposed, which is a combined set of well-known algorithms with some improvements by using certain conditions which are introduced after conducting on a number of experimental tests. The proposed algorithm 'Optimized Dice Coefficient, N-grame and Damerau-Levenshtein Algorithms using Numeration Operations (ODADNN)' provides efficient results to assess the similarity between two words without the need to restrict the words length. 156 pp. Englisch. Codice articolo 9786202050142
Quantità: 2 disponibili
Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: S. Abdul-Jabbar SafaSafa S.Abdul-Jabbar received her bachelor degree in the field of computer science from University of Baghdad/College of Science for Women, in 2009.Then,she is working as a lecturer at the Computer Science Departme. Codice articolo 175567330
Quantità: Più di 20 disponibili
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This work aims to design and develop a system for fast searching of variable length of strings taking the advantage of using the enumeration and multilevel hashing to improve the searching time by providing a semi-uniform searching performance, with the use of weighting scheme and some data structure concepts. The designed system takes into consideration various kinds of factors that affect the searching process (e.g. the search space size). Also, in order to provide an efficient system performance capable of handling some spelling mistakes an updated algorithm for string similarity measure was proposed, which is a combined set of well-known algorithms with some improvements by using certain conditions which are introduced after conducting on a number of experimental tests. The proposed algorithm 'Optimized Dice Coefficient, N-grame and Damerau-Levenshtein Algorithms using Numeration Operations (ODADNN)' provides efficient results to assess the similarity between two words without the need to restrict the words length.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 156 pp. Englisch. Codice articolo 9786202050142
Quantità: 1 disponibili
Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Fast String Searching Based on Multilevel Hashing | Building Word Dictionary for Fast String Search | Safa S. Abdul-Jabbar (u. a.) | Taschenbuch | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202050142 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 113378877
Quantità: 5 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work aims to design and develop a system for fast searching of variable length of strings taking the advantage of using the enumeration and multilevel hashing to improve the searching time by providing a semi-uniform searching performance, with the use of weighting scheme and some data structure concepts. The designed system takes into consideration various kinds of factors that affect the searching process (e.g. the search space size). Also, in order to provide an efficient system performance capable of handling some spelling mistakes an updated algorithm for string similarity measure was proposed, which is a combined set of well-known algorithms with some improvements by using certain conditions which are introduced after conducting on a number of experimental tests. The proposed algorithm 'Optimized Dice Coefficient, N-grame and Damerau-Levenshtein Algorithms using Numeration Operations (ODADNN)' provides efficient results to assess the similarity between two words without the need to restrict the words length. Codice articolo 9786202050142
Quantità: 1 disponibili
Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. 156 pages. 8.66x5.91x0.36 inches. In Stock. Codice articolo zk6202050144
Quantità: 1 disponibili