Big data has the potential to revolutionize the art of management. Despite the high
operational and strategic impacts, there is a paucity of empirical research to assess the …

With the advent of Internet of Things (IoT) and Web 2.0 technologies, there has been a
tremendous growth in the amount of data generated. This chapter emphasizes on the need …

In this paper, we review the background and state-of-the-art of big data. We first introduce
the general background of big data and review related technologies, such as could …

Recent technological advancements have led to a deluge of data from distinctive domains
(eg, health care and scientific sensors, user-generated data, Internet and financial …

Every programmer has a characteristic style, ranging from preferences about identifier
naming to preferences about object relationships and design patterns. Coding conventions …

Smart meters are being deployed replacing conventional meters worldwide and to enable
automated collection of energy consumption data. However, the massive amounts of data …

In last few years, big data and deep learning technologies have been successfully applied in
various fields of civil engineering with the great progress of machine learning techniques …

Machine learning (ML) pipelines for model training and validation typically include
preprocessing, such as data cleaning and feature engineering, prior to training an ML …

Language-integrated query is receiving renewed attention, in part because of its support
through Microsoft's LINQ framework. We present a practical theory of language-integrated …

Nowadays, big data has become a hot research topic. It gives fresh impetus to the economic
and social development. However, the huge value of big data also makes it the focus of …