研飞ivySCI (青藤学术）

International Journal of Data Science and Analytics

短名	Int J Data Sci Anal
Journal Impact	3.25
国际分区	COMPUTER SCIENCE, INFORMATION SYSTEMS(Q2)

ISSN	2364-415X, 2364-4168
h-index	31

数据科学已被确立为重要的新兴科学领域和范式，推动统计学、计算科学和智能科学等学科的研究发展，以及科学、工程、公共部门、商业、社会科学和生活方式等领域的实践变革.该领域包括人工智能、数据分析、机器学习、模式识别、自然语言理解和大数据操作等更大的领域。它还应对相关的新科学挑战，从数据捕获、创建、存储、检索、共享、分析、优化和可视化，到跨异构和相互依赖的复杂资源的综合分析，以更好地做出决策、协作并最终实现价值CREATION.THE INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS (JDSA) 汇集了数据科学与分析的思想领袖、研究人员、行业从业者和潜在用户，共同开发该领域，讨论新趋势和机遇，交流想法和实践，并促进跨学科和跨领域的合作。该期刊由三个流组成：常规，交流有关数据科学和分析的原始和可重复的理论和实验发现；应用程序，将重要的数据科学应用报告到现实生活中；和趋势，报告专家意见以及对数据科学和分析相关领域和主题的全面调查和评论。相关主题包括数据科学和分析的趋势、科学基础、技术和应用的所有方面，主要关注点关于：数据科学和分析的统计和数学基础；对复杂数据、人类、领域、网络、组织、社会、行为和系统特征、复杂性和智能的理解和分析；创建和提取、处理、表示和建模、学习复杂数据、行为、知识和智能的发现、融合和整合、呈现和可视化；数据分析、模式识别、知识发现、机器学习、深度分析和深度学习，以及各种数据（包括事务、文本、图像、视频、图形和网络）、行为和系统；主动、实时、个性化ZED、可操作和自动化的分析、学习、计算、优化、演示和推荐；大数据架构、基础设施、计算、匹配、索引、查询处理、映射、搜索、检索、互操作性、交换和推荐；大数据的内存、分布式、并行、可扩展和高性能计算、分析和优化；数据科学研究、创新和应用的回顾、调查、趋势、前景和机会；科学、商业、政府、文化、行为、社会和经济、健康和医疗、人类、自然和人工中的数据科学应用、智能设备和服务（包括在线/WEB、云、物联网、移动和社交媒体）域；道德、质量、隐私、安全和安保、信任以及数据科学和分析的风险

期刊主页投稿网址

涉及主题	计算机科学数学人工智能机器学习数据挖掘统计工程类哲学物理经济操作系统程序设计语言心理学政治学生物数据科学法学量子力学万维网地理
出版信息	出版商: Springer International Publishing，出版周期: 8 issues per year，期刊类型: journal
基本数据	创刊年份: 2016，原创研究文献占比: 87.34%，自引率:8.80%， Gold OA占比: 32.22%

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A deep learning approach for wind downscaling using spatially correlated global wind data

2024-9-11

Towards online training for RL-based query optimizer

2024-9-10

Improving stance detection accuracy in low-resource languages: a deep learning framework with ParsBERT

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Attributed network embedding model for exposing COVID-19 spread trajectory archetypes

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Leveraging local data sampling strategies to improve federated learning

2024-8-29

The use of match-based exact movement activities to classify elite rugby league players into positional groups

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A benchmark and survey of fully unsupervised concept drift detectors on real-world data streams

2024-8-27

A nearest neighbor-based approach for improving the reliability of multiclass probabilistic classifiers

2024-8-27

On the utility of probabilistic closed-form proxy models for describing supercomputer network traffic data

2024-8-23

Enhancing aspect-based sentiment analysis using data augmentation based on back-translation

2024-8-14

Proposal for optimizing number of servers in closed BCMP queueing network

2024-8-14

Automated recommendation model using ordinal probit regression factorization machines

2024-8-14

Incremental mining algorithms for generating and updating frequent patterns for dynamic databases against insert, update, and support changes

2024-8-13

Dynamic topic modelling for exploring the scientific literature on coronavirus: an unsupervised labelling technique

2024-8-13

Sharing practices of software artefacts and source code for reproducible research

2024-8-11

Identifying clinical feature clusters toward predicting stroke in patients with asymptomatic carotid stenosis

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Data interpolation methods with the UNet-based model for weather forecast

2024-8-9

PConvLSTM: an effective parallel ConvLSTM-based model for short-term electricity load forecasting

2024-8-5

Research on transition sequence partitioning based on dependency relationships

2024-8-3

Port performance indicators construction based on the AIS-generated trajectory segmentation and classification

2024-8-3

Toward an efficient extractive Arabic text summarisation system based on Arabic large language models

2024-7-30

Pure expansion-based local community detection

2024-7-29

Ai4tech: X-AI enabling X-Tech with human-like, generative, decentralized, humanoid and metaverse AI

2024-7-27

Structure and design of multimodal dataset for automatic regex synthesis methods in Roman Urdu

2024-7-23

A novel hotel recommender system incorporating review sentiment and contextual information

2024-7-23

Centrality measures on segmented entropy networks to identify influencers and influencees for financial market scenario

2024-7-22

Traffic congestion prediction and missing data: a classification approach using weather information

2024-7-20

A rolling bearing fault diagnosis method based on vibro-acoustic data fusion and fast Fourier transform (FFT)

2024-7-19

Towards a cyberbullying detection approach: fine-tuned contrastive self-supervised learning for data augmentation

2024-7-17

Two-sample testing with local community depth

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DQMMBSC: design of an augmented deep Q-learning model for mining optimisation in IIoT via hybrid-bioinspired blockchain shards and contextual consensus

2024-7-13

Anomaly analytics in data-driven machine learning applications

2024-7-12

Temporal analysis of computational economics: a topic modeling approach

2024-7-11

Data reduction in big data: a survey of methods, challenges and future directions

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A robust hubness-based algorithm for image data stream classification

2024-7-9

A Meta-learner approach to multistep-ahead time series prediction

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Video anomaly localization using modified faster RCNN with soft NMS algorithm

2024-7-8

An efficient facial emotion recognition using convolutional neural network with local sorting binary pattern and whale optimization algorithm

2024-7-8

Storage of weights and retrieval method (SWARM) approach for neural networks hybridized with conformal prediction to construct the prediction intervals for energy system applications

2024-7-5

A novel discrete slash family of distributions with application to epidemiology informatics data

2024-7-2

Temporal analysis of topic modeling output by machine learning techniques

2024-7-2

A review of sentiment analysis: tasks, applications, and deep learning techniques

2024-7-1

Lcp-mixer: a lightweight model based on concept-level perception for NLP

2024-6-24

A hybrid deep learning neural network for early plant disease diagnosis using a real-world Wheat–Barley vision dataset: challenges and solutions

2024-6-21

Twin neural network improved k-nearest neighbor regression

2024-6-20

Reviewing the effectiveness of lexicon-based techniques for sentiment analysis in massive open online courses

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Implicitly adaptive optimal proposal in variational inference for Bayesian learning

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Comparison of thresholds for a convolutional neural network classifying medical images

2024-6-18

Context discovery for anomaly detection

2024-6-18

Learning optimal deep prototypes for video retrieval systems with hybrid SVM-softmax layer

2024-6-18

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International Journal of Data Science and Analytics

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最新文章

A deep learning approach for wind downscaling using spatially correlated global wind data

Towards online training for RL-based query optimizer

Improving stance detection accuracy in low-resource languages: a deep learning framework with ParsBERT

Attributed network embedding model for exposing COVID-19 spread trajectory archetypes

Leveraging local data sampling strategies to improve federated learning

The use of match-based exact movement activities to classify elite rugby league players into positional groups

A benchmark and survey of fully unsupervised concept drift detectors on real-world data streams

A nearest neighbor-based approach for improving the reliability of multiclass probabilistic classifiers

On the utility of probabilistic closed-form proxy models for describing supercomputer network traffic data

Enhancing aspect-based sentiment analysis using data augmentation based on back-translation

Proposal for optimizing number of servers in closed BCMP queueing network

Automated recommendation model using ordinal probit regression factorization machines

Incremental mining algorithms for generating and updating frequent patterns for dynamic databases against insert, update, and support changes

Dynamic topic modelling for exploring the scientific literature on coronavirus: an unsupervised labelling technique

Sharing practices of software artefacts and source code for reproducible research

Identifying clinical feature clusters toward predicting stroke in patients with asymptomatic carotid stenosis

Data interpolation methods with the UNet-based model for weather forecast

PConvLSTM: an effective parallel ConvLSTM-based model for short-term electricity load forecasting

Research on transition sequence partitioning based on dependency relationships

Port performance indicators construction based on the AIS-generated trajectory segmentation and classification

Toward an efficient extractive Arabic text summarisation system based on Arabic large language models

Pure expansion-based local community detection

Ai4tech: X-AI enabling X-Tech with human-like, generative, decentralized, humanoid and metaverse AI

Structure and design of multimodal dataset for automatic regex synthesis methods in Roman Urdu

A novel hotel recommender system incorporating review sentiment and contextual information

Centrality measures on segmented entropy networks to identify influencers and influencees for financial market scenario

Traffic congestion prediction and missing data: a classification approach using weather information

A rolling bearing fault diagnosis method based on vibro-acoustic data fusion and fast Fourier transform (FFT)

Towards a cyberbullying detection approach: fine-tuned contrastive self-supervised learning for data augmentation

Two-sample testing with local community depth

DQMMBSC: design of an augmented deep Q-learning model for mining optimisation in IIoT via hybrid-bioinspired blockchain shards and contextual consensus

Anomaly analytics in data-driven machine learning applications

Temporal analysis of computational economics: a topic modeling approach

Data reduction in big data: a survey of methods, challenges and future directions

A robust hubness-based algorithm for image data stream classification

A Meta-learner approach to multistep-ahead time series prediction

Video anomaly localization using modified faster RCNN with soft NMS algorithm

An efficient facial emotion recognition using convolutional neural network with local sorting binary pattern and whale optimization algorithm

Storage of weights and retrieval method (SWARM) approach for neural networks hybridized with conformal prediction to construct the prediction intervals for energy system applications

A novel discrete slash family of distributions with application to epidemiology informatics data

Temporal analysis of topic modeling output by machine learning techniques

A review of sentiment analysis: tasks, applications, and deep learning techniques

Lcp-mixer: a lightweight model based on concept-level perception for NLP

A hybrid deep learning neural network for early plant disease diagnosis using a real-world Wheat–Barley vision dataset: challenges and solutions

Twin neural network improved k-nearest neighbor regression

Reviewing the effectiveness of lexicon-based techniques for sentiment analysis in massive open online courses

Implicitly adaptive optimal proposal in variational inference for Bayesian learning

Comparison of thresholds for a convolutional neural network classifying medical images

Context discovery for anomaly detection

Learning optimal deep prototypes for video retrieval systems with hybrid SVM-softmax layer

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