A5100653521- Complex Network Analysis Techniques
- Data Management and Algorithms
- Data Mining Algorithms and Applications
- Advanced Graph Neural Networks
- Opinion Dynamics and Social Influence
- Face and Expression Recognition
- Advanced Clustering Algorithms Research
- Rough Sets and Fuzzy Logic
- Image Retrieval and Classification Techniques
- Recommender Systems and Techniques
- Human Mobility and Location-Based Analysis
- Network Security and Intrusion Detection
- Bayesian Modeling and Causal Inference
- Game Theory and Applications
- Multi-Criteria Decision Making
- Text and Document Classification Technologies
- Advanced Image and Video Retrieval Techniques
- Advanced Computing and Algorithms
- Advanced Image Fusion Techniques
- Peer-to-Peer Network Technologies
- Atmospheric chemistry and aerosols
- Bioinformatics and Genomic Networks
- Anomaly Detection Techniques and Applications
- Information and Cyber Security
- Caching and Content Delivery
Shanxi University of Finance and Economics
2024
Yunnan University
2015-2024
Guizhou Minzu University
2017-2024
Shanghai Jiao Tong University
2023-2024
Ruijin Hospital
2023-2024
Southwest Petroleum University
2023-2024
China United Network Communications Group (China)
2024
Tsinghua University
2023
National Institute of Measurement and Testing Technology
2023
Chengdu Fifth People's Hospital
2023
Spatial co-location pattern mining is an interesting and important task in spatial data which discovers the subsets of features frequently observed together nearby geographic space. However, traditional framework prevalent colocation patterns produces numerous redundant patterns, makes it hard for users to understand or apply. To address this issue, paper, we study problem reducing redundancy a collection by utilizing distribution information instances. We first introduce concept semantic...
Abstract Multi-view clustering (MVC), which aims to explore the underlying structure of data by leveraging heterogeneous information different views, has brought along a growth attention. algorithms based on theories have been proposed and extended in various applications. However, most existing MVC are shallow models, learn multi-view mapping low-dimensional representation space directly, ignoring nonlinear hidden each view, thus, performance is weakened certain extent. In this paper, we...
The spatial co-location pattern is a collection of features in which instances prevalently appear neighboring regions. Due to the heterogeneity data distribution, some patterns global region (i.e., Global Prevalent Co-location Patterns, GPCPs), while are not prevalent globally, and their clustered only local regions Local LPCPs). Multi-level mining aims mine these two types simultaneously, but existing methods cannot accurately judge distribution certain region, leading unsuitable judgment...
Head and neck squamous cell carcinomas (HNSCCs) are a type of cancer originating in the mucosal epithelium mouth, pharynx, larynx, sixth most common world. However, there is no effective treatment for HNSCCs. More than 90% HNSCCs overexpress epidermal growth factor receptors (EGFRs). Although small molecule inhibitors monoclonal antibodies have been developed to target EGFRs, few EGFR-targeted therapeutics approved clinical use. Ferroptosis new kind programmed death induced by iron catalyzed...
Eviction is one of the most pressing challenges facing millions households today, particularly in urban areas, with filings expected to rebound or even surpass pre-pandemic levels. While non-payment rent frequently cited as primary reason for eviction, underlying causes have not been thoroughly examined. This study analyzes eviction court files from 2014 2017, obtained Pierce County, Washington, and applies advanced data science techniques, including layout analysis natural language...
As a security defense technique to protect networks from attacks, network intrusion detection model plays crucial role in the of computer systems and networks. Aiming at shortcomings complex feature extraction process insufficient information existing models, an named FCNN-SE, which uses fusion convolutional neural (FCNN) for stacked ensemble (SE) classification, is proposed this paper. The mainly includes two parts, classification. Multi-dimensional features traffic data are first extracted...
Spatial co-location pattern mining (SCPM) aims to discover subsets of spatial features frequently located together in proximate areas. Previous studies SCPM solely concern the inter-features association a pattern, but neglect interesting intra-feature behavior. In this paper, we propose task with coupling relation consideration (SCPM-CR) capture complex relations embedded co-location. Specifically, InterPCI measure is designed by considering comprehensive interaction objects for and luckily...
Multiview subspace clustering has turned into a promising technique due to its encouraging ability discover the underlying structure. In recent studies, lot of methods have been developed strengthen performance multiview data, but these rarely consider simultaneously nonlinear structure and multilevel representation (MLR) information in data as well distribution latent representation. To address problems, we develop new Subspace Clustering with MLRs Adversarial Regularization (MvSC-MRAR),...
Background Idiopathic hyperaldosteronism (IHA) is one of the most common types primary aldosteronism (PA), an important cause hypertension. Although high dietary sodium a major risk factor for hypertension, there no consensus on recommended intake IHA. Objective This study investigated effect low-sodium diet hemodynamic variables and relevant disease biomarkers in IHA patients, with aim providing useful reference clinical treatment. Methods Fifty patients were evenly randomized into two...
Multi-view clustering has attracted increasing attention in recent years since many real data sets are usually gathered from different sources or described by feature types. Amongst various existing multi-view algorithms, those that based on non-negative matrix factorization (NMF) have exhibited superior performance. However, NMF decomposing original directly fails to exploit global relationships between samples and cannot be applied datasets not strictly non-negative. In this paper, a...