Rock burst is a common disaster in deep underground rock mass engineering excavation. In
this paper, a cloud model (CM) is applied to classify and assess rock bursts. Some main …

The growing availability and popularity of opinion rich resources such as blogs, shopping
websites, review portals, and social media platforms have attracted several researchers to …

Selection of optimal features is an important area of research in medical data mining
systems. In this paper we introduce an efficient four-stage procedure–feature extraction …

In the field of health and medicine, there is a very important term known as clinical trials.
Clinical trials are a type of activity that studies how the safest way to treat patients is. These …

Text Classification (TC) is the process of assigning several different categories to a set of
texts. This study aims to evaluate the state of the arts of TC studies. Firstly, TC-related …

In this paper, we propose a novel classification model for the multiple instance data, which
aims to maximize the number of positive instances ranked before the top-ranked negative …

For any organization involving consumers, reviews and feedbacks are quite important. For
this purpose, the bulk of data is generated from various social networking sites in terms of …

In today's world due to ever increasing demand to make computers perform tasks of
humans, machine learning is used. It is a tedious task to manually read the entire book and …

Sentiment analysis (SA) gives the tool to the researcher to evaluate the sentiments of
different users in multiple languages in online discourse. In the last few years, non-English …

The evolution of web 3.0 results in storing data in plenty in the web which are huge as that of
hard to search and its specific classification and this sort of issue attracts research attention …