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A Study on Similarity Join in Heterogeneous Information Network: Using Path Based Algorithm - Softcover
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A Study on Similarity Join in Heterogeneous Information Network
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LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206768546
ISBN 13: 9786206768548
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A Study on Similarity Join in Heterogeneous Information Network
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206768546
ISBN 13: 9786206768548
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Softcover
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A Study on Similarity Join in Heterogeneous Information Network
Published by
LAP LAMBERT Academic Publishing Sep 2023, 2023
ISBN 10: 6206768546
ISBN 13: 9786206768548
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A similarity join is a fundamental operation in data mining and database management, used to identify pairs of records from different datasets that are similar to each other based on some defined similarity metric. The primary goal of a similarity join is to find pairs of records that have similar attributes or features, even if the records are not identical. This is particularly useful when dealing with data from various sources that may contain variations, errors, or inconsistencies. Path-based algorithms for similarity join refer to techniques that utilize paths (sequences of edges) connecting nodes in a graph to determine the similarity between pairs of nodes. These algorithms are commonly used in various fields, such as graph mining, network analysis, and data integration. 92 pp. Englisch. Seller Inventory # 9786206768548
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A Study on Similarity Join in Heterogeneous Information Network
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206768546
ISBN 13: 9786206768548
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Softcover
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A Study on Similarity Join in Heterogeneous Information Network
Published by
LAP Lambert Academic Publishing, 2023
ISBN 10: 6206768546
ISBN 13: 9786206768548
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Seller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A similarity join is a fundamental operation in data mining and database management, used to identify pairs of records from different datasets that are similar to each other based on some defined similarity metric. The primary goal of a similarity join is t. Seller Inventory # 1150551068
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A Study on Similarity Join in Heterogeneous Information Network
Published by
LAP LAMBERT Academic Publishing Sep 2023, 2023
ISBN 10: 6206768546
ISBN 13: 9786206768548
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A similarity join is a fundamental operation in data mining and database management, used to identify pairs of records from different datasets that are similar to each other based on some defined similarity metric. The primary goal of a similarity join is to find pairs of records that have similar attributes or features, even if the records are not identical. This is particularly useful when dealing with data from various sources that may contain variations, errors, or inconsistencies. Path-based algorithms for similarity join refer to techniques that utilize paths (sequences of edges) connecting nodes in a graph to determine the similarity between pairs of nodes. These algorithms are commonly used in various fields, such as graph mining, network analysis, and data integration.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch. Seller Inventory # 9786206768548
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A Study on Similarity Join in Heterogeneous Information Network | Using Path Based Algorithm
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206768546
ISBN 13: 9786206768548
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Taschenbuch. Condition: Neu. A Study on Similarity Join in Heterogeneous Information Network | Using Path Based Algorithm | Sandhya S. (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206768548 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 127784796
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A Study on Similarity Join in Heterogeneous Information Network : Using Path Based Algorithm
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206768546
ISBN 13: 9786206768548
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A similarity join is a fundamental operation in data mining and database management, used to identify pairs of records from different datasets that are similar to each other based on some defined similarity metric. The primary goal of a similarity join is to find pairs of records that have similar attributes or features, even if the records are not identical. This is particularly useful when dealing with data from various sources that may contain variations, errors, or inconsistencies. Path-based algorithms for similarity join refer to techniques that utilize paths (sequences of edges) connecting nodes in a graph to determine the similarity between pairs of nodes. These algorithms are commonly used in various fields, such as graph mining, network analysis, and data integration. Seller Inventory # 9786206768548