The notion of trends in social networks has emerged as an important problem attracting the attention of researchers as well as the industry. Although, recent work has studied trends from various perspectives such as its temporal and geospatial properties, the structural properties of the network that creates such trends are ignored in trend detection. In this work, we propose two novel structur...

Social networks such as Twitter are considered a rich resource of information about actual world actions of all types. Several efforts have been dedicated to trend detection on Twitter i.e., the current popular topics of conver‐ sation among its users. However, despite these efforts, sentiment analysis is not taken into account. Sentiment analysis is the field of study that analyzes people’s op...

This paper outlines a data mining approach to analysis and prediction of the trend of stock prices. The approach consists of three steps, namely partitioning, analysis and prediction. A modification of the commonly used k-means clustering algorithm is used to partition stock price time series data. After data partition, linear regression is used to analyse the trend within each cluster. The res...

Food Security Context: Complex Patterns of Climate, Climate Change, and Livelihoods Most rural people live in the highlands and middle-highlands, which comprise only one-third of the country, and this population tends to be concentrated primarily in Oromia or northern SNNPR. The seasonality of rainfall varies in different areas of Ethiopia. In the eastern Somali region, rains come twice a year–...

UNLABELLED FuncAssociate is a web application that discovers properties enriched in lists of genes or proteins that emerge from large-scale experimentation. Here we describe an updated application with a new interface and several new features. For example, enrichment analysis can now be performed within multiple gene- and protein-naming systems. This feature avoids potentially serious translati...

Sometimes we have to work with  $L$-fuzzy context sequences where one or more values are missing. These sequences can represent, among other things, the evolution in time of an $L$-fuzzy context. The studies of tendencies that we have done so far used tools that are not valid when the $L$-fuzzy context has unknown values. In this work we address such situations and we propose new methods to tac...

The study provides a statistical trend analysis of different air pollutants using Mann-Kendall and Sen’s slope estimator approach on past pollutants statistics from air quality index station of Varanasi, India. Further, using autoregressive integrated moving average model, future values of air pollutant levels are predicted. Carbon monoxide, nitrogen dioxide, sulphur dioxide, particu...

background and aims: trends in deaths and medical admissions in the uk and europe show evidence for a series of infectious-like events. these events have been overlooked by traditional surveillance methodologies. preliminary evidence points to a rise in medical admissions in australia around the same time as those observed in europe, and this study was aimed to evaluate whether the deaths are o...