Data Analytics: Why Data Normalization

cDNA Microarray Data Normalization

A Fuzzy TOPSIS Approach for Big Data Analytics Platform Selection

Big data sizes are constantly increasing. Big data analytics is where advanced analytic techniques are applied on big data sets. Analytics based on large data samples reveals and leverages business change. The popularity of big data analytics platforms, which are often available as open-source, has not remained unnoticed by big companies. Google uses MapReduce for PageRank and inverted indexes....

Application of Big Data Analytics in Power Distribution Network

Smart grid enhances optimization in generation, distribution and consumption of the electricity by integrating information and communication technologies into the grid. Today, utilities are moving towards smart grid applications, most common one being deployment of smart meters in advanced metering infrastructure, and the first technical challenge they face is the huge volume of data generated ...

Contents 1 Why normalization ? 12 Introduction 13 Microarray Data Normalization : A Problem Formulation 24

The recent development of complementary DNA microarray technology provides a powerful analytical tool for genetic research. This tool allows one to study expression levels in parallel which represents an enormous gain in terms of experimental time invested. But always while carrying out comparisons of expression data using measurements from a single array or multiple arrays, the question of nor...

Social Network Data Analytics Social Network Data Analytics

The advent of online social networks has been one of the most exciting events in this decade. Many popular online social networks such as Twitter, LinkedIn, and Facebook have become increasingly popular. In addition, a number of multimedia networks such as Flickr have also seen an increasing level of popularity in recent years. Many such social networks are extremely rich in content, and they t...