Optimal Query Anatomization uses the similarity and filtering approaches for storing, processing and managing huge amounts of data.To increase the metadata extraction accuracy an optimal distributed query processing based on canonicalization algorithm is proposed. It is then filtered using a cuckoo filter for obtaining the possible relevant queries. Then, the qualified sequence templates are stored in the template database. Now, the canonical strings of the user query are checked with the template database for sequence matching. Finally, query mapping is done for the matched sequence.
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Senthil K, Research Scholar at TCE, Madurai,India, B.E(EEE),Madurai Kamaraj University,Madurai,India(2004), M.Tech(CSE),S.R.M University, Chennai,India(2006).Dr.P.Chitra, Professor at TCE,Madurai,India. PhD in CSE, Anna University,Chennai,India(2011). Area of interest: Distributed Computing, Parallel Processing & Networks.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Optimal Query Anatomization uses the similarity and filtering approaches for storing, processing and managing huge amounts of data.To increase the metadata extraction accuracy an optimal distributed query processing based on canonicalization algorithm is proposed. It is then filtered using a cuckoo filter for obtaining the possible relevant queries. Then, the qualified sequence templates are stored in the template database. Now, the canonical strings of the user query are checked with the template database for sequence matching. Finally, query mapping is done for the matched sequence. 132 pp. Englisch. Bestandsnummer des Verkäufers 9786139461295
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Senthil K.Senthil K, Research Scholar at TCE, Madurai,India, B.E(EEE),Madurai Kamaraj University,Madurai,India(2004), M.Tech(CSE),S.R.M University, Chennai,India(2006).Dr.P.Chitra, Professor at TCE,Madurai,India. PhD in CSE, Anna Uni. Bestandsnummer des Verkäufers 283994691
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Optimal Query Anatomization uses the similarity and filtering approaches for storing, processing and managing huge amounts of data.To increase the metadata extraction accuracy an optimal distributed query processing based on canonicalization algorithm is proposed. It is then filtered using a cuckoo filter for obtaining the possible relevant queries. Then, the qualified sequence templates are stored in the template database. Now, the canonical strings of the user query are checked with the template database for sequence matching. Finally, query mapping is done for the matched sequence.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch. Bestandsnummer des Verkäufers 9786139461295
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Taschenbuch. Zustand: Neu. Distributed Query Optimization and Indexing Schemas in Cloud Server | Using Canonicalization Approach | K. Senthil (u. a.) | Taschenbuch | 132 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786139461295 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 116212629
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Optimal Query Anatomization uses the similarity and filtering approaches for storing, processing and managing huge amounts of data.To increase the metadata extraction accuracy an optimal distributed query processing based on canonicalization algorithm is proposed. It is then filtered using a cuckoo filter for obtaining the possible relevant queries. Then, the qualified sequence templates are stored in the template database. Now, the canonical strings of the user query are checked with the template database for sequence matching. Finally, query mapping is done for the matched sequence. Bestandsnummer des Verkäufers 9786139461295
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Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Optimal Query Anatomization uses the similarity and filtering approaches for storing, processing and managing huge amounts of data.To increase the metadata extraction accuracy an optimal distributed query processing based on canonicalization algorithm is proposed. It is then filtered using a cuckoo filter for obtaining the possible relevant queries. Then, the qualified sequence templates are stored in the template database. Now, the canonical strings of the user query are checked with the template database for sequence matching. Finally, query mapping is done for the matched sequence. Bestandsnummer des Verkäufers 34387225/2
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