temporal – SyntaxBug

TCN research on multi-variable time series prediction based on temporal convolutional neural network (Matlab code implementation)

?About the author: A Matlab simulation developer who loves scientific research. He cultivates his mind and improves his technology simultaneously. For cooperation on MATLAB projects, please send a private message. Personal homepage: Matlab Research Studio Personal credo: Investigate things to gain knowledge. For more complete Matlab code and simulation customization content, click Intelligent optimization algorithm […]

TCN research on multi-variable time series prediction based on temporal convolutional neural network (Matlab code implementation)

[Feature Engineering-Summary of temporal (time) feature processing methods]

A summary of machine learning temporal feature processing methods Basic processing of time features Secondary processing based on basic processing Differential, lag, sliding window, exponential weighting Reference: https://zhuanlan.zhihu.com/p/466773545 Basic processing of time features # Basic conversion of time features class HandleDateFeature: def __init__(self, df, col): self.df = df self.col = col def datetime_transfrom(self): df[self.col + […]

How to reduce the computational cost of visual Transformer? The temporal redundancy approach is surprising

Source: Heart of the Machine This article is about 3,000 words, and it is recommended to read for 5 minutes. After bringing changes to the language field, Transformer is entering the visual field, but it also has the problem of high computing costs. Recently, a research team at the University of Wisconsin-Madison proposed the Eventful […]

[RNN+encrypted traffic C] An encrypted traffic classification model based on the raw traffic and spatiotemporal….

Article directory Introduction to the paper Summary Problems Paper contribution 1. method 2. Experiment and result analysis Introduction to the paper Original title: An encrypted traffic classification model based on the raw traffic and spatiotemporal characteristics Chinese title: Encrypted traffic classification model based on original traffic and spatiotemporal characteristics Conference: EITCE 2022: 2022 6th International […]

Original | One article to understand the spatiotemporal clustering method of infectious diseases

Author: Su Yue This article is about 2,000 words, and it is recommended to read it for 5 minutes. This article mainly introduces the above-mentioned spatial scanning statistics and some subsequent improvement methods. The COVID-19 pandemic has warned us that infectious diseases pose a huge threat to humanity, and also highlighted the urgency of establishing […]

Time Series|Temporal Fusion Transformer

Today I will share a timing paper from Google Lim, B., Ar?k, S. ?., Loeff, N., & Pfister, T. (2021). Temporal fusion transformers for interpretable multi-horizon time series forecasting. International Journal of Forecasting< /em>. First, let’s talk about what a good timing model needs to consider: Univariate and multivariate time series take all It can […]

Flink-temporal semantics and Watermark

1. Time semantics Event Time: is the time when the event was created. It is usually described by the timestamp in the event. For example, in the collected log data, each log records its own generation time, and Flink accesses the event timestamp through the timestamp allocator. Ingestion Time: It is the time when data […]

DuckDB’s AsOf join: fuzzy temporal lookup

Summary DuckDB supports AsOf Joins – a method of matching nearby values. They are particularly useful for searching event tables for temporal analysis. Have time series data you want to join but the timestamps don’t quite match? Or want to use time from another table to find values that change over time? Did you end […]

A review of spatial time series data analysis technologies Spatiotemporal data analysis technologies s

Author: Zen and the Art of Computer Programming 1. Introduction With the rapid development of science and technology, various data in human activities and social economy have presented a new model, in which the processing and analysis of spatial time series data play a very important role. Different from traditional time series data, spatial time […]