Pattern mining is a fundamental technique of data mining to discover interesting correlations
in the data set. There are several variations of pattern mining, such as frequent itemset …

As the demands for big data analytics keep growing rapidly in scientific applications and
online services, MapReduce and its open-source implementation Hadoop gained popularity …

For deep learning cloud computing platforms, file system is a fundamental and critical
component. Hadoop distributed file system (HDFS) is widely used in large scale clusters due …

The unprecedented spread of location-aware devices has resulted in a plethora of location-
based services in which huge amounts of spatial data need to be efficiently processed by …

Abstract The concern over Smart Farming is growing, where Internet of Things (IoT)
technologies are highlighted in the farm management cycle. Also a large amount of data is …

The usage of Hadoop has been increasing greatly in recent years. Hadoop adoption is
widespread. Some notable big users such as Yahoo, Facebook, Netflix, and Amazon use …

In the last few days, data and the internet have become increasingly growing, occurring in
big data. For these problems, there are many software frameworks used to increase the …

Hadoop cluster is widely used for executing and analyzing a large data like big data. It has
MapReduce engine for distributing data to each node in cluster. Compression is a benefit …

Apache Hadoop is an open-source software library which integrates a wide variety of
software tools and utilities to facilitate the distributed batch processing of big data sets …

HDFS faces several issues when it comes to handling a large number of small files. These
issues are well addressed by archive systems, which combine small files into larger ones …