NTP-Miner: Nonoverlapping three-way sequential pattern mining
Y Wu, L Luo, Y Li, L Guo, P Fournier-Viger… - ACM Transactions on …, 2021 - dl.acm.org
Nonoverlapping sequential pattern mining is an important type of sequential pattern mining
(SPM) with gap constraints, which not only can reveal interesting patterns to users but also …
(SPM) with gap constraints, which not only can reveal interesting patterns to users but also …
OPP-Miner: Order-preserving sequential pattern mining for time series
Traditional sequential pattern mining methods were designed for symbolic sequence. As a
collection of measurements in chronological order, a time series needs to be discretized into …
collection of measurements in chronological order, a time series needs to be discretized into …
Three-way evidence theory-based density peak clustering with the principle of justifiable granularity
H Ju, Y Lu, W Ding, J Cao, X Yang - Applied Soft Computing, 2024 - Elsevier
Clustering by fast search and find of density peaks (DPC) is an effective clustering approach
that can find all the cluster centers at once with just one parameter and without iterative …
that can find all the cluster centers at once with just one parameter and without iterative …
Failure evaluation of electronic products based on double hierarchy hesitant fuzzy linguistic term set and K-means clustering algorithm
J Dai, J Pang, Q Luo, Q Huang - Symmetry, 2022 - mdpi.com
The extent of failure evaluation depends on the complexity and significance of electronic
products. However, traditional failure mode and effect analysis (FMEA) has many …
products. However, traditional failure mode and effect analysis (FMEA) has many …
A novel stratification clustering algorithm based on a new local density estimation method and an improved local inter-cluster distance measure
J Qi, Y Li, H Jin, J Feng, D Tian, W Mu - International Journal of Machine …, 2023 - Springer
Recently clustering for datasets with different shapes, densities and noises has attracted
more and more attention from scholars. However, most current clustering algorithms improve …
more and more attention from scholars. However, most current clustering algorithms improve …
Big data-assisted urban governance: A comprehensive system for business documents classification of the government hotline
The government service platform, exemplified by the government hotline, has to handle
extensive volumes of business documents that contain rich and timely public opinion …
extensive volumes of business documents that contain rich and timely public opinion …
[PDF][PDF] Klasterisasi Karakter Konsumen Terhadap Kecenderungan Pemilihan Produk Menggunakan K-Means
AS Yaumi, Z Zulfiqkar… - JOINTECS (Journal of …, 2020 - pdfs.semanticscholar.org
Permasalahan yang sedang ada di toko saat ini adalah kesulitan untuk mengetahui produk
yang saat ini banyak diminati atau paling banyak digunakan oleh konsumen agar dapat …
yang saat ini banyak diminati atau paling banyak digunakan oleh konsumen agar dapat …
Multi-prototypes convex merging based k-means clustering algorithm
K-Means algorithm is a popular clustering method. However, it has two limitations: 1) it gets
stuck easily in spurious local minima, and 2) the number of clusters has to be given a priori …
stuck easily in spurious local minima, and 2) the number of clusters has to be given a priori …
Optimization-oriented online modeling for generators of absorption heat pump systems
H Ma, X Ding, P Duan, C Ning, H Sun, D Yang… - Applied Thermal …, 2024 - Elsevier
An innovative online modeling approach for generators in absorption heat pump systems,
which utilizes a combination of the K-means clustering algorithm and back propagation …
which utilizes a combination of the K-means clustering algorithm and back propagation …
基于自适应径向基网络的热防护结构可靠性评估
董朋虎， 陈强， 李彦斌， 张旭东， 马晗， 费庆国 - 工程力学, 2024 - engineeringmechanics.cn
针对复杂载荷下热防护结构可靠性评估效率低, 分析精度差等问题, 该文提出一种基于自适应径
向基神经网络的可靠性评估方法. 通过引入非线性收敛因子, 对传统灰狼优化算法进行改进; …
向基神经网络的可靠性评估方法. 通过引入非线性收敛因子, 对传统灰狼优化算法进行改进; …