Business analytics aims to enable organizations to make quicker, better, and more
intelligent decisions with the aim to create business value. To date, the major focus in the …

In the current scenario, data scientists are expected to make sense of vast stores of big data,
which are becoming increasingly complex and heterogeneous in nature. In the context of …

In this article, we propose a new variant of evolving fuzzy model for regression problems,
which is based on error feedback integration in order to compensate measurement noise …

This chapter provides an all-round picture of the development and advances in the fields of
evolving fuzzy systems (EFS) and evolving neuro-fuzzy systems (ENFS) which have been …

This article analyzes how Big Data is changing the way we learn from observations. We
describe the changes in statistical methods in seven areas that have been shaped by the …

Both reliability and survival analyses are very important techniques for analyzing lifetime
and other time-to-event data being used in various disciplines since a long time. The …

Maintenance combines various methods, tools, and techniques in a bid to reduce
maintenance costs while increasing the reliability, availability, and security of equipment …

Mini-batch algorithms have become increasingly popular due to the requirement for solving
optimization problems, based on large-scale data sets. Using an existing online expectation …

Smoothing splines have been used pervasively in nonparametric regressions. However, the
computational burden of smoothing splines is significant when the sample size n is large …

The traditional RDBMS is not sufficient to manage highly scalable web log data. Hadoop
framework can overcome the problems raised in traditional systems. Hadoop is a …