If there’s one thing that characterizes the Information Age that we find ourselves in today, it is streams of data. However, ...

Abstract: Time series metric data is used by monitoring systems to analyze the performance of hardware and software from a data center. This data can be easily displayed using line graphs and, as such ...

SmurphCast – percentage‑first time‑series forecasting (churn, CTR, conversion, retention) with additive + GBM + ES‑RNN stacking and automatic model selection. 100 % Python, CPU‑friendly, explainable.

Image Comics was founded in 1992 when artists Rob Liefeld, Todd McFarlane, Jim Lee, Erik Larsen, Marc Silvestri, Whilce Potracio, and Jim Valentine left Marvel over money and creators rights ...

This article aims to address the problem of time-series forecasting. Current state-of-the-art forecasting models lack the ability to mine the spatiotemporal dependence. How to mine more useable ...

Practical time series forecasting with R : a hands-on guide by Shmueli, Galit 1971- author Publication date 2016 Topics Time-series analysis, Forecasting -- Statistical methods, Série chronologique, ...

LSU will face a familiar foe to open College World Series play. The Tigers will play SEC rival Arkansas. Dates and times of the games in Omaha will be announced on Monday morning.

The problem of time series segmentation (TSS) is to find a meaningful segmentation of a time series (TS) that captures a data-generating process with distinct states and transitions. We consider a ...