Chi squared feature selection over Apache Spark
We live in the age of big data and distributed computing. The current large scale
computation frameworks are based on a scaling-out approach for distributing tasks over a …
computation frameworks are based on a scaling-out approach for distributing tasks over a …
Fine and coarse grained composition and adaptation of spark applications
Spark is a framework used to analyze big data applications. In this paper, we introduce a
framework to build complex Spark applications by composing simpler ones. We use two …
framework to build complex Spark applications by composing simpler ones. We use two …
[引用][C] Component and transformation based frameworks for building and optimizing Spark programs
ZH Shmeiss - 2018