The modern wireless sensor network is focused on integrating the emerging technology of
IoT with the real world for enhanced data processing to improve automation and …

This paper presents a detailed analysis of big data and machine learning (ML) in the
electrical power and energy sector. Big data analytics for smart energy operations …

Configuration parameter optimization is an important means of improving the performance of
the MapReduce model. The existing parameter tuning methods usually optimize all …

With an exponential increase in the data size and complexity of various documents to be
investigated, existing methods of network forensics are found not much efficient with respect …

Image mining is the method of searching and discovering valuable information and
knowledge from a huge image dataset. Image mining is based on data mining, digital image …

Thalassemia is a genetic blood disease caused by a deficiency in the production of
hemoglobin, the central protein found in red blood cells and responsible for carrying oxygen …

Big data is the biggest challenges as we need huge processing power system and good
algorithms to make an decision. We need Hadoop environment with pig hive, machine …

Growth and development of the economy is dependent on the banking system. Bad loans
which are Non-Performing Assets (NPA) are the measure for assessing the financial health …

As software systems become increasingly large and complex, automated parameter tuning
of software systems (PTSS) has been the focus of research and many tuning algorithms …

Map Reduce is the preferred computing framework used in large data analysis and
processing applications. Hadoop is a widely used Map Reduce framework across different …