# Time series numerical association rule mining variants in smart agriculture

arXiv: https://arxiv.org/abs/2212.03669 · HTML: https://mlsanity.com/paper/2212.03669/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 7 Dec 2022.

## Built on by (most cited first, 1 of 1)

- [Learning Semantic Association Rules from Internet of Things Data](https://mlsanity.com/paper/2412.03417/) (2024)

## Abstract (arXiv)

Numerical association rule mining offers a very efficient way of mining association rules, where algorithms can operate directly with categorical and numerical attributes. These methods are suitable for mining different transaction databases, where data are entered sequentially. However, little attention has been paid to the time series numerical association rule mining, which offers a new technique for extracting association rules from time series data. This paper presents a new algorithmic method for time series numerical association rule mining and its application in smart agriculture. We offer a concept of a hardware environment for monitoring plant parameters and a novel data mining method with practical experiments. The practical experiments showed the method's potential and opened the door for further extension.