研飞ivySCI (青藤学术）

Knowledge and Information Systems

短名	Knowl Inf Syst
Journal Impact	2.53
国际分区	COMPUTER SCIENCE, INFORMATION SYSTEMS(Q2)
期刊索引	SCI Q3中科院 4 区

ISSN	0219-1377, 0219-3116
h-index	92
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)计算机科学计算机信息系统(4区)

知识和信息系统 (KAIS) 为研究人员和专业人士提供了一个国际论坛，以分享他们的知识并报告与知识系统和高级信息系统相关的所有主题的新进展。这本经过同行评审的月度档案期刊发表关于 KAIS 新兴主题的最新研究报告、相关领域重要技术的评论以及普通读者感兴趣的应用论文。

期刊主页投稿网址

涉及主题	计算机科学人工智能数学数据挖掘机器学习程序设计语言统计哲学操作系统工程类心理学情报检索生物物理语言学算法万维网经济政治学法学认识论数据库认知心理学
出版信息	出版商: Springer London，出版周期: Bimonthly，期刊类型: journal
基本数据	创刊年份: 1999，原创研究文献占比: 95.51%，自引率:8.00%， Gold OA占比: 16.43%
平均审稿周期	网友分享经验：平均5.0个月
平均录用比例	网友分享经验：25%

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Spectral clustering with scale fairness constraints

2024-9-13

Supervised kernel-based multi-modal Bhattacharya distance learning for imbalanced data classification

2024-9-12

Long short-term search session-based document re-ranking model

2024-9-9

Kernel-based iVAT with adaptive cluster extraction

2024-9-6

Sarcasm detection using optimized bi-directional long short-term memory

2024-9-6

Comprehensive review and comparative analysis of transformer models in sentiment analysis

2024-9-6

Targeted training for numerical reasoning with large language models

2024-9-6

CAERS-CF: enhancing convolutional autoencoder recommendations through collaborative filtering

2024-9-6

Multi-perspective patient representation learning for disease prediction on electronic health records

2024-9-4

Generative user-experience research for developing domain-specific natural language processing applications

2024-9-4

Deep ensembled multi-criteria recommendation system for enhancing and personalizing the user experience on e-commerce platforms

2024-9-4

Lazy learning and sparsity handling in recommendation systems

2024-9-2

Truss community search in uncertain graphs

2024-9-2

Evaluation metrics on text summarization: comprehensive survey

2024-8-31

Enhancing link prediction through node embedding and ensemble learning

2024-8-30

GMMDA: Gaussian mixture modeling of graph in latent space for graph data augmentation

2024-8-29

Enhancing the performance of deep learning models with fuzzy c-means clustering

2024-8-24

EIGP: document-level event argument extraction with information enhancement generated based on prompts

2024-8-23

Computing marginal and conditional divergences between decomposable models with applications in quantum computing and earth observation

2024-8-22

Probabilistic temporal semantic graph: a holistic framework for event detection in twitter

2024-8-22

GoSum: extractive summarization of long documents by reinforcement learning and graph-organized discourse state

2024-8-22

REDAffectiveLM: leveraging affect enriched embedding and transformer-based neural language model for readers’ emotion detection

2024-8-19

Complementary incomplete weighted concept factorization methods for multi-view clustering

2024-8-14

Aspect-based sentiment analysis: approaches, applications, challenges and trends

2024-8-14

Hyperparameter elegance: fine-tuning text analysis with enhanced genetic algorithm hyperparameter landscape

2024-8-13

Adaptive moving average Q-learning

2024-8-12

MoRGH: movie recommender system using GNNs on heterogeneous graphs

2024-8-12

Community detection in social networks using machine learning: a systematic mapping study

2024-8-12

From text to multimodal: a survey of adversarial example generation in question answering systems

2024-8-9

Innovative research aspects of big data modelling, management and analytics

2024-8-9

Noise-aware celestial clustering for hot topic detection from microblog datasets with not well-separated topics

2024-8-9

Disease outbreak prediction using natural language processing: a review

2024-8-6

A multi-view mask contrastive learning graph convolutional neural network for age estimation

2024-8-6

Crop health assessment through hierarchical fuzzy rule-based status maps

2024-8-5

An efficient approach for incremental erasable utility pattern mining from non-binary data

2024-8-4

Correction: Local soft rough approximations and their applications to conflict analysis problems

2024-7-29

An empirical study of a novel multimodal dataset for low-resource machine translation

2024-7-29

Wave Hedges distance-based feature fusion and hybrid optimization-enabled deep learning for cyber credit card fraud detection

2024-7-24

Caption matters: a new perspective for knowledge-based visual question answering

2024-7-22

An adaptive and late multifusion framework in contextual representation based on evidential deep learning and Dempster–Shafer theory

2024-7-22

Optimal intelligent information retrieval and reliable storage scheme for cloud environment and E-learning big data analytics

2024-7-22

Minimum spanning tree clustering approach for effective feature partitioning in multi-view ensemble learning

2024-7-18

Robust anomaly detection via adversarial counterfactual generation

2024-7-17

An online ensemble classification algorithm for multi-class imbalanced data stream

2024-7-16

Knowledge filter contrastive learning for recommendation

2024-7-16

A joint knowledge representation learning of sentence vectors weighting and primary neighbor constraints

2024-7-16

Correction: An analysis of large language models: their impact and potential applications

2024-7-16

Optimizing subgraph retrieval and matching with an efficient indexing scheme

2024-7-16

Toward fair graph neural networks via real counterfactual samples

2024-7-15

Cooperative coati optimization algorithm with transfer functions for feature selection and knapsack problems

2024-7-15

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Knowledge and Information Systems

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最新文章

Spectral clustering with scale fairness constraints

Supervised kernel-based multi-modal Bhattacharya distance learning for imbalanced data classification

Long short-term search session-based document re-ranking model

Kernel-based iVAT with adaptive cluster extraction

Sarcasm detection using optimized bi-directional long short-term memory

Comprehensive review and comparative analysis of transformer models in sentiment analysis

Targeted training for numerical reasoning with large language models

CAERS-CF: enhancing convolutional autoencoder recommendations through collaborative filtering

Multi-perspective patient representation learning for disease prediction on electronic health records

Generative user-experience research for developing domain-specific natural language processing applications

Deep ensembled multi-criteria recommendation system for enhancing and personalizing the user experience on e-commerce platforms

Lazy learning and sparsity handling in recommendation systems

Truss community search in uncertain graphs

Evaluation metrics on text summarization: comprehensive survey

Enhancing link prediction through node embedding and ensemble learning

GMMDA: Gaussian mixture modeling of graph in latent space for graph data augmentation

Enhancing the performance of deep learning models with fuzzy c-means clustering

EIGP: document-level event argument extraction with information enhancement generated based on prompts

Computing marginal and conditional divergences between decomposable models with applications in quantum computing and earth observation

Probabilistic temporal semantic graph: a holistic framework for event detection in twitter

GoSum: extractive summarization of long documents by reinforcement learning and graph-organized discourse state

REDAffectiveLM: leveraging affect enriched embedding and transformer-based neural language model for readers’ emotion detection

Complementary incomplete weighted concept factorization methods for multi-view clustering

Aspect-based sentiment analysis: approaches, applications, challenges and trends

Hyperparameter elegance: fine-tuning text analysis with enhanced genetic algorithm hyperparameter landscape

Adaptive moving average Q-learning

MoRGH: movie recommender system using GNNs on heterogeneous graphs

Community detection in social networks using machine learning: a systematic mapping study

From text to multimodal: a survey of adversarial example generation in question answering systems

Innovative research aspects of big data modelling, management and analytics

Noise-aware celestial clustering for hot topic detection from microblog datasets with not well-separated topics

Disease outbreak prediction using natural language processing: a review

A multi-view mask contrastive learning graph convolutional neural network for age estimation

Crop health assessment through hierarchical fuzzy rule-based status maps

An efficient approach for incremental erasable utility pattern mining from non-binary data

Correction: Local soft rough approximations and their applications to conflict analysis problems

An empirical study of a novel multimodal dataset for low-resource machine translation

Wave Hedges distance-based feature fusion and hybrid optimization-enabled deep learning for cyber credit card fraud detection

Caption matters: a new perspective for knowledge-based visual question answering

An adaptive and late multifusion framework in contextual representation based on evidential deep learning and Dempster–Shafer theory

Optimal intelligent information retrieval and reliable storage scheme for cloud environment and E-learning big data analytics

Minimum spanning tree clustering approach for effective feature partitioning in multi-view ensemble learning

Robust anomaly detection via adversarial counterfactual generation

An online ensemble classification algorithm for multi-class imbalanced data stream

Knowledge filter contrastive learning for recommendation

A joint knowledge representation learning of sentence vectors weighting and primary neighbor constraints

Correction: An analysis of large language models: their impact and potential applications

Optimizing subgraph retrieval and matching with an efficient indexing scheme

Toward fair graph neural networks via real counterfactual samples

Cooperative coati optimization algorithm with transfer functions for feature selection and knapsack problems

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