A shared-table is used as a guide to show where the data should be saved. Thus, the efficiency of query processing will improve when data is saved at the same ...
The SST, which can reduce transportation cost over distributed relational databases, was introduced in this study. Query efficiency was improved by reducing ...
Model for Automatic Textual Data Clustering in Relational Databases Schema. ... Shared-Table for Textual Data Clustering in Distributed Relational Databases.
Choosing the distribution column for each table is one of the most important modeling decisions because it determines how data is spread across nodes.
The performance of database operations can be enhanced with an efficient storage structure design using attribute partitioning and/or tuple clustering.
This paper introduces an efficient algorithm, called AutoClust, for automatic database attribute clustering (or also called automatic database vertical ...
Shared-Table for Textual Data Clustering in Distributed Relational Databases ... This study proposes a novel technique based on a shared-table in a relational ...
Managing textual data semantically in relational databases by wael ...
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Oct 3, 2018 · Managing textual data semantically in relational databases by wael yahfooz and Sk ahammad Fahad - Download as a PDF or view online for free.
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This study proposes a Textual Virtual Schema Model (TVSM) to structure extracted textual data, while performing automatic column based information clustering.
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Mar 29, 2021 · Shared-nothing architecture involves splitting the data into partitions usually called “shards”. Each shard lives on an individual server (node) ...