Big data: Some statistical issues

Some statistical issues in microarray gene expression data.

In this paper we discuss some of the statistical issues that should be considered when conducting experiments involving microarray gene expression data. We discuss statistical issues related to preprocessing the data as well as the analysis of the data. Analysis of the data is discussed in three contexts: class comparison, class prediction and class discovery. We also review the methods used in...

Summary of Some Statistical Issues

In terms of statistical ideas, I would make a very broad distinction between two prominent sets of problems at this conference. First there are a number of problems in which the main feature is a very large amount of data, requiring new methods and considerable computing power. An example that has already been used with success in astronomy is the use of false discovery rates in problems involv...

Some statistical issues in psychiatric epidemiology research.

Like many other fields, psychiatric researchers rely heavily on the utilization of conventional epidemiologic designs and principles to pursue their scientific objectives. However, some of the issues, which to a large extent are specific to psychiatric disorders, have demanded that new designs and hence new statistical methods be developed to meet the challenges. These issues include, among oth...

Open issues in Big Data Warehouse design

Data Warehouse and OLAP systems allow analyzing huge volumes of data represented according to the multidimensional model. In the era of Big Data, NoSQL systems have been proved to be an effective Business Intelligence solution. Some works recently study warehousing and OLAPing Big Data. (Un)Lucky these works exclusively investigate time performance related to the Volume and Velocity features of...

Ethical Issues in the Big Data Industry