期刊： WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2021; 11 (5)
The improvement of observation capabilities has expanded the scale of new data available for time domain astronomy research, and the accumulation of o......
期刊： WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2021; 11 (4)
Clustering of structure-rich heterogeneous information networks composed of multiple types of objects and relationships, which has become a challenge ......
期刊： WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, ; ()
Feature selection aims to select a feature subset from an original feature set based on a certain evaluation criterion. Since feature selection can ac......
期刊： WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, ; ()
An in-depth study on big data mining is urgently needed for the next-generation energy systems, which are characterized by a deep integration of cyber......
期刊： WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2020; 10 (3)
Computer experiment refers to the study of complex systems by using computer simulations to emulate the physical system. Design and analysis of comput......
期刊： WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2020; 10 (4)
Text-to-image synthesis refers to computational methods which translate human written textual descriptions, in the form of keywords or sentences, into......
期刊： WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2020; 10 (4)
Recommender systems have become extremely important to various types of industries where customer interaction and feedback is paramount to the success......
期刊： WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2020; 10 (6)
Deep neural networks have recently achieved impressive performance on multilabel text classification. However, the uncertainty in multilabel text clas......
期刊： WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2020; 10 (6)
Smart city (SC) and resilient city (RC) have been studied and practiced over the years in terms of the increasing urban problems and disasters. Howeve......
期刊： WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 0; ()
The ring main unit (RMU) is the main equipment of the electrical power distribution network. The deterioration process of the RMU cable joint is multi......
期刊： WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2019; 9 (1)
Since Pearson developed principal component analysis (PCA) in 1901, feature learning (or called representation learning) has been studied for more tha......
期刊： WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2019; 9 (1)
The salient facial feature discovery is one of the important research tasks in ethnical group face recognition. In this paper, we first construct an e......
期刊： WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2019; 9 (2)
Online kernel selection is fundamental to online kernel learning. In contrast to offline kernel selection, online kernel selection intermixes kernel s......
期刊： WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 0; ()
Sentiment discovery and analysis (SDA) aims to automatically identify the underlying attitudes, sentiments, and subjectivity towards a certain entity ......
期刊： WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2019; 9 (6)
Frequent itemset mining (FIM) is an essential task within data analysis since it is responsible for extracting frequently occurring events, patterns, ......
