Jul 14, 2020 · In this study, we present an approach to fuzzy clustering of very large data sets inside a PDBMS. Such a PDBMS is obtained by small-scale modifications of the ...
In this study, we present an approach to fuzzy clustering of very large data sets inside a PDBMS. Such a PDBMS is obtained by small-scale modifications of the ...
The paper introduces an approach to partitioning of very large graphs by means of parallel relational database management sys-tem (DBMS) named PargreSQL.
An approach to data mining inside PostgreSQL based on parallel implementation of user-defined functions (UDFs) for modern Intel many-core platforms and is ...
In this study, we present an approach to fuzzy clustering of very large data sets inside a PDBMS. Such a PDBMS is obtained by small-scale modifications of the ...
An approach to data mining inside a RDBMS based on a parallel implementation of user-defined functions (UDFs) that shows good scalability and overtakes R ...
In this survey, we argue that is not the case, explaining important research that has enabled analytics on large databases inside a DBMS. However, we also argue ...
In this study, we present an approach to fuzzy clustering of very large data sets inside a PDBMS. Such a PDBMS is obtained by small-scale modifications of the ...
In this paper, we consider the problem of clustering parallel streams of real-valued data, that is to say, continuously evolving time series.
Abstract Map Reduce is a parallel technology which can process bigdata by creating multiple instances of thread. Map will take input data and split it into ...