This paper is aimed at atmospheric scientists without formal training in statistical theory. Its goal to (1) provide a critical review of the rationale for trend analysis time series typically encountered field chemistry, (2) describe range trend-detection methods, and (3) demonstrate effective means conveying results general audience. Trend detections chemical composition data are often challe...

Abstract Identifying the trending topics in journals and conferences is valuable for understanding role of authors, institutions, funding agencies progression knowledge produced field. However, many available clustering methods do not accommodate a desire temporally clustered results that are typical trends, part because time publication often neglected as feature. As demonstration how can be e...

Predicting asset price trends is often posed as a classification problem, where are classified positive or negative. Since series noisy and volatile, it difficult to distinguish true from short-term fluctuations. To this end, several trend definitions have been proposed in the literature, but yet be known how these affect performance of algorithms designed learn such labels historical data. In ...