A comprehensive survey of data mining

MK Gupta, P Chandra - International Journal of Information Technology, 2020 - Springer
Data mining plays an important role in various human activities because it extracts the
unknown useful patterns (or knowledge). Due to its capabilities, data mining become an …

A comparative study of clustering algorithms

MK Gupta, P Chandra - 2019 6th international conference on …, 2019 - ieeexplore.ieee.org
In present era, data analysis plays vital role in various domains. Data clustering is a data
analysis technique used for grouping of data objects based on unsupervised learning. Many …

Robust clustering with sparse corruption via ℓ2, 1, ℓ1 norm constraint and Laplacian regularization

M Zhao, J Liu - Expert Systems with Applications, 2021 - Elsevier
Clustering has been applied in machine learning, data mining and so on, and has received
extensive attention. However, since some data has noise or outliers, these noise or outliers …

Exemplar-based large-scale low-rank matrix decomposition for collaborative prediction

H Lei, J Liu, Y Yu - International Journal of Computer Mathematics, 2023 - Taylor & Francis
Recommender system is one of the most effective tools to solve the problem of information
overload. As a popular method for recommendation system, regularized singular value …

Adaptive graph regularized low–rank matrix factorization with noise and outliers for clustering

M Zhao, J Liu - IEEE Access, 2020 - ieeexplore.ieee.org
Clustering, which is a commonly used tool, has been applied in machine learning, data
mining and so on, and has received extensive research. However, there are usually noise …

Efficient preference clustering via random fourier features

J Liu, L Wang, J Liu - Big Data Mining and Analytics, 2019 - ieeexplore.ieee.org
Approximations based on random Fourier features have recently emerged as an efficient
and elegant method for designing large-scale machine learning tasks. Unlike approaches …

Complex data analytics via sparse, low-rank matrix approximation

L Wang - 2012 - search.proquest.com
Today, digital data is accumulated at a faster than ever speed in science, engineering,
biomedicine, and real-world sensing. Data mining provides us an effective way for the …