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Big Data Mining and Analytics

短名	Big Data Min. Anal.
Journal Impact	7.76
国际分区	COMPUTER SCIENCE, INFORMATION SYSTEMS(Q1)
期刊索引	中科院 1 区中国科学引文数据库

ISSN	2096-0654, 2097-406X
h-index	38
国内分区	计算机科学(1区)计算机科学计算机人工智能(1区)计算机科学计算机信息系统(1区)

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涉及主题	计算机科学人工智能数学机器学习数据挖掘操作系统程序设计语言物理万维网工程类统计生物哲学政治学法学量子力学心理学地理数据科学算法经济
出版信息	出版商: Tsinghua University Press，出版周期: ，期刊类型: journal
基本数据	创刊年份: 2018，原创研究文献占比: 87.50%，自引率:6.50%， Gold OA占比: 100.00%
平均审稿周期	8 weeks

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EPIMR: Prediction of Enhancer-Promoter Interactions by Multi-Scale ResNet on Image Representation

2024-9-1

Analysis and Classification of Fake News Using Sequential Pattern Mining

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QTFN: A General End-to-End Time-Frequency Network to Reveal the Time-Varying Signatures of the Time Series

2024-9-1

Autism Spectrum Disorder Classification with Interpretability in Children Based on Structural MRI Features Extracted Using Contrastive Variational Autoencoder

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SNCA: Semi-Supervised Node Classification for Evolving Large Attributed Graphs

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Node and Edge Joint Embedding for Heterogeneous Information Network

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Influence of Attribute Granulation on Three-Way Concept Lattices

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A disentangled representation-based multimodal fusion framework integrating pathomics and radiomics for KRAS mutation detection in colorectal cancer

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SGCL-LncLoc: An Interpretable Deep Learning Model for Improving IncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning

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Multi-Relational Graph Representation Learning for Financial Statement Fraud Detection

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Multi-Task Learning for Alzheimer's Disease Diagnosis and Mini-Mental State Examination Score Prediction

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A Large-Scale Spatio-Temporal Multimodal Fusion Framework for Traffic Prediction

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Prompting Large Language Models with Knowledge-Injection for Knowledge-Based Visual Question Answering

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G3DC: A Gene-Graph-Guided Selective Deep Clustering Method for Single Cell RNA-seq Data

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Local Region Frequency Guided Dynamic Inconsistency Network for Deepfake Video Detection

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Collaborative Knowledge Infusion for Low-Resource Stance Detection

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Network Diffusion Framework to Simulate Spreading Processes in Complex Networks

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House Price Prediction: A Multi-Source Data Fusion Perspective

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Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey

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Graph Deep Active Learning Framework for Data Deduplication

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DMSS: An Attention-Based Deep Learning Model for High-Quality Mass Spectrometry Prediction

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Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey

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Towards Privacy in Decentralized IoT: A Blockchain-Based Dual Response DP Mechanism

2024-9-1

Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning

2024-4-22

Editorial

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E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review

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Predicting Energy Consumption Using Stacked LSTM Snapshot Ensemble

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An Intelligent Big Data Security Framework Based on AEFS-KENN Algorithms for the Detection of Cyber-Attacks from Smart Grid Systems

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ROBO-SPOT: Detecting Robocalls by Understanding User Engagement and Connectivity Graph

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Call for Papers: Special Issue on AI-Enhanced Big Data Governance

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Call for Papers: Special Issue on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applications

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Data Temperature Informed Streaming for Optimising Large-Scale Multi-Tiered Storage

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AI-Based Advanced Approaches and Dry Eye Disease Detection Based on Multi-Source Evidence: Cases, Applications, Issues, and Future Directions

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Improved Quantile Convolutional and Recurrent Neural Networks for Electric Vehicle Battery Temperature Prediction

2024-4-22

Extending OpenStack Monasca for Predictive Elasticity Control

2024-4-22

AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks: Transforming Telecommunication Business

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Unstructured Big Data Threat Intelligence Parallel Mining Algorithm

2024-4-22

An Adaptive Scalable Data Pipeline for Multiclass Attack Classification in Large-Scale IoT Networks

2024-4-22

Call for Papers: Special Issue on Data-Driven Spatial and Temporal Anomaly Detection

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A Novel Recommendation Algorithm Integrates Resource Allocation and Resource Transfer in Weighted Bipartite Network

2024-4-22

KeyEE: Enhancing Low-Resource Generative Event Extraction with Auxiliary Keyword Sub-Prompt

2024-4-22

Interpretable Detection of Malicious Behavior in Windows Portable Executables Using Multi-Head 2D Transformers

2024-4-22

QAR Data Imputation Using Generative Adversarial Network with Self-Attention Mechanism

2024-3-1

Cell Consistency Evaluation Method Based on Multiple Unsupervised Learning Algorithms

2024-3-1

Identification of Proteins and Genes Associated with Hedgehog Signaling Pathway Involved in Neoplasm Formation Using Text-Mining Approach

2024-3-1

Incremental Data Stream Classification with Adaptive Multi-Task Multi-View Learning

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Limits of Depth: Over-Smoothing and Over-Squashing in GNNs

2024-3-1

PURP: A Scalable System for Predicting Short-Term Urban Traffic Flow Based on License Plate Recognition Data

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Gender-Based Analysis of User Reactions to Facebook Posts

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Multi-Smart Meter Data Encryption Scheme Based on Distributed Differential Privacy

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研飞客户端支持数万种期刊查询，助你在阅读和写作中随时了解期刊动态

Big Data Mining and Analytics

阅读文献时，研飞即可帮你快速了解期刊，查询影响因子与分区，智能高亮期刊预警！

期刊引文格式

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有2位作者的期刊

有3位作者的期刊

有5位以上作者的期刊

书籍引用格式

学位论文引用格式

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最新文章

EPIMR: Prediction of Enhancer-Promoter Interactions by Multi-Scale ResNet on Image Representation

Analysis and Classification of Fake News Using Sequential Pattern Mining

QTFN: A General End-to-End Time-Frequency Network to Reveal the Time-Varying Signatures of the Time Series

Autism Spectrum Disorder Classification with Interpretability in Children Based on Structural MRI Features Extracted Using Contrastive Variational Autoencoder

SNCA: Semi-Supervised Node Classification for Evolving Large Attributed Graphs

Node and Edge Joint Embedding for Heterogeneous Information Network

Influence of Attribute Granulation on Three-Way Concept Lattices

A disentangled representation-based multimodal fusion framework integrating pathomics and radiomics for KRAS mutation detection in colorectal cancer

SGCL-LncLoc: An Interpretable Deep Learning Model for Improving IncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning

Multi-Relational Graph Representation Learning for Financial Statement Fraud Detection

Multi-Task Learning for Alzheimer's Disease Diagnosis and Mini-Mental State Examination Score Prediction

A Large-Scale Spatio-Temporal Multimodal Fusion Framework for Traffic Prediction

Prompting Large Language Models with Knowledge-Injection for Knowledge-Based Visual Question Answering

G3DC: A Gene-Graph-Guided Selective Deep Clustering Method for Single Cell RNA-seq Data

Local Region Frequency Guided Dynamic Inconsistency Network for Deepfake Video Detection

Collaborative Knowledge Infusion for Low-Resource Stance Detection

Network Diffusion Framework to Simulate Spreading Processes in Complex Networks

House Price Prediction: A Multi-Source Data Fusion Perspective

Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey

Graph Deep Active Learning Framework for Data Deduplication

DMSS: An Attention-Based Deep Learning Model for High-Quality Mass Spectrometry Prediction

Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey

Towards Privacy in Decentralized IoT: A Blockchain-Based Dual Response DP Mechanism

Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning

Editorial

E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review

Predicting Energy Consumption Using Stacked LSTM Snapshot Ensemble

An Intelligent Big Data Security Framework Based on AEFS-KENN Algorithms for the Detection of Cyber-Attacks from Smart Grid Systems

ROBO-SPOT: Detecting Robocalls by Understanding User Engagement and Connectivity Graph

Call for Papers: Special Issue on AI-Enhanced Big Data Governance

Call for Papers: Special Issue on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applications

Data Temperature Informed Streaming for Optimising Large-Scale Multi-Tiered Storage

AI-Based Advanced Approaches and Dry Eye Disease Detection Based on Multi-Source Evidence: Cases, Applications, Issues, and Future Directions

Improved Quantile Convolutional and Recurrent Neural Networks for Electric Vehicle Battery Temperature Prediction

Extending OpenStack Monasca for Predictive Elasticity Control

AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks: Transforming Telecommunication Business

Unstructured Big Data Threat Intelligence Parallel Mining Algorithm

An Adaptive Scalable Data Pipeline for Multiclass Attack Classification in Large-Scale IoT Networks

Call for Papers: Special Issue on Data-Driven Spatial and Temporal Anomaly Detection

A Novel Recommendation Algorithm Integrates Resource Allocation and Resource Transfer in Weighted Bipartite Network

KeyEE: Enhancing Low-Resource Generative Event Extraction with Auxiliary Keyword Sub-Prompt

Interpretable Detection of Malicious Behavior in Windows Portable Executables Using Multi-Head 2D Transformers

QAR Data Imputation Using Generative Adversarial Network with Self-Attention Mechanism

Cell Consistency Evaluation Method Based on Multiple Unsupervised Learning Algorithms

Identification of Proteins and Genes Associated with Hedgehog Signaling Pathway Involved in Neoplasm Formation Using Text-Mining Approach

Incremental Data Stream Classification with Adaptive Multi-Task Multi-View Learning

Limits of Depth: Over-Smoothing and Over-Squashing in GNNs

PURP: A Scalable System for Predicting Short-Term Urban Traffic Flow Based on License Plate Recognition Data

Gender-Based Analysis of User Reactions to Facebook Posts

Multi-Smart Meter Data Encryption Scheme Based on Distributed Differential Privacy

帮你贴心管理全部的文献研飞ivySCI，高效的论文管理

帮你贴心管理全部的文献
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