Cloud computing facilitates the users with on-demand services over the Internet. The
services are accessible from anywhere at any time. Despite the valuable services, the …

Distance-based algorithms are widely used for data classification problems. The k-nearest
neighbour classification (k-NN) is one of the most popular distance-based algorithms. This …

Sentiment analysis is an important research direction of natural language processing, text
mining and web mining which aims to extract subjective information in source materials. The …

Sentiment mining is a field of text mining to determine the attitude of people about a
particular product, topic, politician in newsgroup posts, review sites, comments on facebook …

Energy simulation tool is a tool to simulate energy use by a building prior to the erection of
the building. Commonly it has a feature providing alternative designs that are better than the …

Various approaches to extend bagging ensembles for class imbalanced data are
considered. First, we review known extensions and compare them in a comprehensive …

Abstract Preplaced-Aggregate Concrete (PAC) is a type of preplaced concrete where coarse
aggregate is placed in the mold and a Portland cement-sand grout with admixtures is …

Data-driven process monitoring methods have attracted many attentions and gained wide
applications. However, the real industrial process data are much more complex which is …

Medical datasets are primarily made up of numerous pointless and redundant elements in a
collection of patient records. None of these characteristics are necessary for a medical …

Copper is one of the valuable natural resources, and it was widely used in many different
industries. The complicated fluctuations of copper prices can significantly affect other …