研飞ivySCI (青藤学术）

Intelligent Data Analysis

短名	Intell. Data Anal.
Journal Impact	0.89
国际分区	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE(Q4)
期刊索引	SCI Q4中科院 4 区

ISSN	1088-467X, 1571-4128
h-index	52
国内分区	计算机科学(4区)计算机科学计算机人工智能(4区)

智能数据分析为研究与人工智能技术在跨学科数据分析中的研究和应用相关的问题提供了一个论坛。这些技术包括（但不限于）：数据可视化的所有领域、数据预处理（融合、编辑、转换、过滤、采样）、数据工程、数据库挖掘技术、工具和应用、在数据中使用领域知识分析、大数据应用、进化算法、机器学习、神经网络、模糊逻辑、统计模式识别、知识过滤和后处理。尤其是讨论新的人工智能相关数据分析架构、方法和技术的开发及其在各个领域的应用的论文是首选。

期刊主页投稿网址

涉及主题	计算机科学人工智能数学机器学习数据挖掘统计哲学程序设计语言心理学工程类物理认知心理学模式识别（心理学）生物算法操作系统语言学
出版信息	出版商: IOS Press BV，出版周期: Bimonthly，期刊类型: journal
基本数据	创刊年份: 1997，原创研究文献占比: 95.18%，自引率:11.10%， Gold OA占比: 3.44%
平均审稿周期	网友分享经验：平均3.0个月
平均录用比例	网友分享经验：容易

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Multi-scale hierarchical model for long-term time series forecasting

2024-8-1

cd-MBRec: Enhancing multi-behavior recommendation by explicitly modeling commonality and diversity

2024-8-1

TLSTSRec: Time-aware long short-term attention neural network for sequential recommendation

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Research on the artistic form and image expression effect of public sculpture based on intelligent and parametric design

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A framework for classifying breast cancer via heterogenetic attention mechanism and optimized feature selection

2024-8-1

Explainable paper classification system using topic modeling and SHAP

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Attribute graph clustering via transformer and graph attention autoencoder

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A deep learning-based neural style transfer optimization approach

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Deep hierarchical spectral-spatial feature fusion for hyperspectral image classification based on convolutional neural network

2024-7-24

Stable top-k periodic high-utility patterns mining over multi-sequence

2024-7-23

Missing data imputation using correlation coefficient and min-max normalization weighting

2024-7-21

ViSSR: A visual analytics system for student high-order social relationships at campus

2024-7-21

Editorial

2024-7-17

ATIN: Attention-embedded time-aware imputation networks for production data anomaly detection

2024-7-17

Improved learning in human evolutionary systems with dynamic contrastive learning

2024-7-17

Text classification method based on dependency parsing and hybrid neural network

2024-7-17

Unsupervised multi-source domain adaptation for person re-identification via sample weighting

2024-7-17

Towards robust log parsing using self-supervised learning for system security analysis

2024-7-17

MusicNeXt: Addressing category bias in fused music using musical features and genre-sensitive adjustment layer

2024-7-17

ELCA: Enhanced boundary location for Chinese named entity recognition via contextual association

2024-7-17

A pharmachain IoT with internal attack classification framework using PBFT-MI-RIB-RBF technique in healthcare

2024-6-27

Machine learning and deep learning methods in brain tumor classification: A decade: Systematic literature review

2024-6-20

HAGCN: A relation extraction model based on heterogeneous graph convolutional neural network and graph attention

2024-6-20

A medical assistant decision-making method based on interval belief rule base with explainability

2024-6-20

Stacked collaborative transformer network with contrastive learning for video moment localization

2024-6-20

An integrative framework for brain tumor segmentation and classification using neuraclassnet

2024-6-20

Bone feature quantization and systematized attention gate UNet-based deep learning framework for bone fracture classification

2024-6-13

Enhancing 3D medical image registration with cross attention, residual skips, and cascade attention

2024-6-13

Machine learning based car accident risk prediction for usage-based insurance

2024-6-13

Spatio-temporal patterns assisted deep learning model for PM2.5 prediction (STEEP)

2024-6-11

Lightweight unmanned aerial vehicle object detection algorithm based on improved YOLOv8

2024-6-9

A review on learning based image reflection removal algorithms

2024-6-9

Secureimagesec: A privacy-preserving framework for outsourced picture representation with content-based image retrieval

2024-6-8

Forecast combination with multivariate grey prediction for tourism demand forecasting

2024-6-5

Two-layer dynamic graph convolutional recurrent neural network for traffic flow prediction

2024-6-3

Combining decomposition and graph capsule network for multi-objective vehicle routing optimization

2024-5-30

Products ranking through two-stage online customer reviews information

2024-5-30

Semi-supervised contrastive learning with decomposition-based data augmentation for time series classification

2024-5-30

Boosting active domain adaptation with exploration of samples

2024-5-28

SocialNER2.0: A comprehensive dataset for enhancing named entity recognition in short human-produced text

2024-5-28

Temporal attention-aware evidential recurrent network for trustworthy prediction of Alzheimer’s disease progression

2024-5-28

GT-CHES: Graph transformation for classification in human evolutionary systems

2024-5-28

ACEANet: Ambiguous Context Enhanced Attention Network for skin lesion segmentation

2024-5-28

Learning hierarchical embedding space for image-text matching

2024-5-28

Editorial

2024-5-28

CMCEE: A joint learning framework for cascade decoding with multi-feature fusion and conditional enhancement for overlapping event extraction

2024-5-28

I2R: Intra and inter-modal representation learning for code search

2024-5-28

A feature-aware long-short interest evolution network for sequential recommendation

2024-5-28

A multi-domain adaptive neural machine translation method based on domain data balancer

2024-5-28

Pure large kernel convolutional neural network transformer for medical image registration

2024-5-28

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Intelligent Data Analysis

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最新文章

Multi-scale hierarchical model for long-term time series forecasting

cd-MBRec: Enhancing multi-behavior recommendation by explicitly modeling commonality and diversity

TLSTSRec: Time-aware long short-term attention neural network for sequential recommendation

Research on the artistic form and image expression effect of public sculpture based on intelligent and parametric design

A framework for classifying breast cancer via heterogenetic attention mechanism and optimized feature selection

Explainable paper classification system using topic modeling and SHAP

Attribute graph clustering via transformer and graph attention autoencoder

A deep learning-based neural style transfer optimization approach

Deep hierarchical spectral-spatial feature fusion for hyperspectral image classification based on convolutional neural network

Stable top-k periodic high-utility patterns mining over multi-sequence

Missing data imputation using correlation coefficient and min-max normalization weighting

ViSSR: A visual analytics system for student high-order social relationships at campus

Editorial

ATIN: Attention-embedded time-aware imputation networks for production data anomaly detection

Improved learning in human evolutionary systems with dynamic contrastive learning

Text classification method based on dependency parsing and hybrid neural network

Unsupervised multi-source domain adaptation for person re-identification via sample weighting

Towards robust log parsing using self-supervised learning for system security analysis

MusicNeXt: Addressing category bias in fused music using musical features and genre-sensitive adjustment layer

ELCA: Enhanced boundary location for Chinese named entity recognition via contextual association

A pharmachain IoT with internal attack classification framework using PBFT-MI-RIB-RBF technique in healthcare

Machine learning and deep learning methods in brain tumor classification: A decade: Systematic literature review

HAGCN: A relation extraction model based on heterogeneous graph convolutional neural network and graph attention

A medical assistant decision-making method based on interval belief rule base with explainability

Stacked collaborative transformer network with contrastive learning for video moment localization

An integrative framework for brain tumor segmentation and classification using neuraclassnet

Bone feature quantization and systematized attention gate UNet-based deep learning framework for bone fracture classification

Enhancing 3D medical image registration with cross attention, residual skips, and cascade attention

Machine learning based car accident risk prediction for usage-based insurance

Spatio-temporal patterns assisted deep learning model for PM2.5 prediction (STEEP)

Lightweight unmanned aerial vehicle object detection algorithm based on improved YOLOv8

A review on learning based image reflection removal algorithms

Secureimagesec: A privacy-preserving framework for outsourced picture representation with content-based image retrieval

Forecast combination with multivariate grey prediction for tourism demand forecasting

Two-layer dynamic graph convolutional recurrent neural network for traffic flow prediction

Combining decomposition and graph capsule network for multi-objective vehicle routing optimization

Products ranking through two-stage online customer reviews information

Semi-supervised contrastive learning with decomposition-based data augmentation for time series classification

Boosting active domain adaptation with exploration of samples

SocialNER2.0: A comprehensive dataset for enhancing named entity recognition in short human-produced text

Temporal attention-aware evidential recurrent network for trustworthy prediction of Alzheimer’s disease progression

GT-CHES: Graph transformation for classification in human evolutionary systems

ACEANet: Ambiguous Context Enhanced Attention Network for skin lesion segmentation

Learning hierarchical embedding space for image-text matching

Editorial

CMCEE: A joint learning framework for cascade decoding with multi-feature fusion and conditional enhancement for overlapping event extraction

I2R: Intra and inter-modal representation learning for code search

A feature-aware long-short interest evolution network for sequential recommendation

A multi-domain adaptive neural machine translation method based on domain data balancer

Pure large kernel convolutional neural network transformer for medical image registration

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