shapedtw-python is an extension to the dtw-python package, implementing the shape dtw algorithm described by L. Itii and J. Zhao in their paper (it can be downloaded from here: shapeDTW: shape Dynamic ...

TSB-UAD is a new open, end-to-end benchmark suite to ease the evaluation of univariate time-series anomaly detection methods. Overall, TSB-UAD contains 12686 time series with labeled anomalies ...

Abstract: Discovering contrasts between collections of data is an important task in data mining. In this paper, we introduce a new type of contrast pattern, called a minimal distinguishing subsequence ...

Background and aims: Blood glucose prediction (BGP) has increasingly been adopted for personalized monitoring of blood glucose levels in diabetic patients, providing valuable support for physicians in ...

MicroRNAs (miRNAs) play vital roles in gene expression regulations. Identification of essential miRNAs is of fundamental importance in understanding their cellular functions. Experimental methods for ...

Last year, many took to social media using the hashtag #NoCongoNoPhone to fight against the cobalt supply chain that fosters child labor and the exploitation of small-scale artisanal miners. The ...

Abstract: Subsequence clustering is an important issue in time series data mining. Observing that most time series consist of various patterns with different unknown lengths, we propose an ...