Association Rules Mining: A Recent Overview
By S. Kotsiantis, Dimitris N. Kanellopoulos. 2006
667 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/73a19026fb8a6ef5bf238ff472f31100c33753d0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Mohammed Ali Al-Garadi
- Xiaojiang Du
- Mohsen Guizani
- Amr M. Mohamed
- Syeda Manjia Tahsien
- A. Al-Ali
- Ihsan Ali
- Hadis Karimipour
Citations in the corpus
- Deep Learning Techniques: An Overview (2020, methodology): “The unsupervised learning algorithms such as K-means algorithm is used in clustering problems [9], Apriori algorithm is used in association problems [10]”
- A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security (2018, background): “Although several different approaches have been introduced to tackle the issue of efficiency, they are not always effective [168].”
- 2015 Ieee International Conference on Big Data (big Data) Task-based Recommendation on a Web-scale (unknown): “The research of FPM investigates algorithms for a wide scope of data mining problems, including frequent item set mining [22] , association rule mining [23], frequent sequence mining [24], [25], [26], and frequent tree or graph mining [27], [28].”
- Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey (2020, background): “it is not commonly used in IoT as it has high time complexity and gives results on assumptions that may not provide an accurate outcome for a large and complex model [111].”