Sentence examples for using the MapReduce programming from inspiring English sources

This paper introduces a new parallel design of a recently appeared heuristic for hard clustering using the MapReduce programming model.

In the same context, Kim et al. [7] suggested a new density-based clustering algorithm, called DBCURE, in addition to its parallel version, called DBCURE-MR, which is implemented using the MapReduce programming model.

Table  3 includes a summary of the discussed literature on clinical big data analysis using the MapReduce programming framework.

This section describe the potential benefits and highlight potential application to leverage the clinical big data for analytical advantages using the MapReduce programming framework and the Hadoop platform.

The major reason for using the MapReduce programming framework in the reviewed efforts is to speed up these kind of analytics.

This highly demonstrates the significance of using the MapReduce programming model on top of the Hadoop distributed processing platform to process the large volume of clinical data.

The method was implemented using the MapReduce (Dean and Ghemawat, 2004) programming model.

The method is implemented using the MapReduce framework on top of the Hadoop platform.

Since Web applications often use the MapReduce framework, we develop a solution to perform similarity joins in NoSQL systems using the MapReduce framework.

The algorithm described a parallel neural signal processing with EEMD using the MapReduce framework.

Contrail is the first de Bruijn graph-based assembler using the MapReduce framework.