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ACM Transactions on Knowledge Discovery from Data

短名	ACM Trans. Knowl. Discov. Data
Journal Impact	3.81
国际分区	COMPUTER SCIENCE, SOFTWARE ENGINEERING(Q1)
期刊索引	SCI Q2中科院 3 区

ISSN	1556-4681, 1556-472X
h-index	71
国内分区	计算机科学(3区)计算机科学计算机信息系统(3区)计算机科学计算机软件工程(3区)

TKDD 欢迎有关知识发现和分析各种形式数据的全方位研究的论文。此类主题包括但不限于：用于数据挖掘和大数据分析的可扩展和有效算法、挖掘大脑网络、挖掘数据流、挖掘多媒体数据、挖掘高维数据、挖掘文本、WEB 和半结构化数据，挖掘空间和时间数据，用于社区生成的数据挖掘，社交网络分析和图形结构化数据，数据挖掘中的安全和隐私问题，可视化、交互式和在线数据挖掘，数据挖掘的预处理和后处理、稳健和可扩展的统计方法、数据挖掘语言、数据挖掘基础、KDD 框架和过程，以及利用数据挖掘技术的新型应用程序和基础设施，包括大规模并行处理和云计算平台。 TKDD 鼓励在大型分布式计算机网络、并行或多处理计算机或新数据设备的背景下探索上述主题的论文。 TKDD 还鼓励描述当前数据挖掘技术无法满足的新兴数据挖掘应用程序的论文。

期刊主页投稿网址

涉及主题	计算机科学人工智能数学机器学习数据挖掘统计哲学工程类程序设计语言物理操作系统组合数学心理学量子力学算法生物理论计算机科学经济万维网语言学政治学法学情报检索离散数学认识论
出版信息	出版商: Association for Computing Machinery (ACM)，出版周期: ，期刊类型: journal
基本数据	创刊年份: 2007，原创研究文献占比: 100.00%，自引率:7.50%， Gold OA占比: 2.15%
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：较易

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专利引用格式

STORM: A MapReduce framework for Symbolic Time Intervals series classification

2024-9-11

A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators

2024-9-11

SDE-HNN: Accurate and Well-calibrated Forecasting using Stochastic Differential Equations

2024-9-10

NeuralCODE: Neural Compartmental Ordinary Differential Equations Model with AutoML for Interpretable Epidemic Forecasting

2024-9-10

Multi-Label and Evolvable Dataset Preparation for Web-Based Object Detection

2024-9-9

A novel tree-based method for interpretable reinforcement learning

2024-9-9

FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning

2024-9-9

Hubness-Enabled Clustering and Recovery for Large-Scale Incomplete Multi-View Data

2024-9-4

Exploiting Pre-trained Language Models for Black-box Attack against Knowledge Graph Embeddings

2024-9-4

LSTGCN: Inductive Spatial Temporal Imputation Using Long Short Term Dependencies

2024-9-2

Efficient Generation of Hidden Outliers for Improved Outlier Detection

2024-8-31

Towards Prototype-Based Self-Explainable Graph Neural Network

2024-8-30

Fair Single Index Model

2024-8-30

ProcessGAN: Generating Privacy-Preserving Time-Aware Process Data with Conditional Generative Adversarial Nets

2024-8-28

Causal Discovery Using Weight-Based Conditional Independence Test

2024-8-28

SPORT: A Subgraph Perspective on Graph Classification with Label Noise

2024-8-28

Heterogeneous Network Motif Coding, Counting, and Profiling

2024-8-28

A Spatial-Temporal Aggregated Graph Neural Network for Docked Bike-sharing Demand Forecasting

2024-8-28

Towards Cross-lingual Social Event Detection with Hybrid Knowledge Distillation

2024-8-27

Graph Representation Learning enhanced Semi-supervised Feature Selection

2024-8-27

Detecting process duration drift using gamma mixture models in a left-truncated and right-censored environment

2024-8-21

A Meta-learning Approach to Mitigating the Estimation Bias of Q-learning

2024-8-14

Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey

2024-8-12

VAE*: A Novel Variational Autoencoder via Revisiting Positive and Negative Samples for Top-N Recommendation

2024-8-10

VITR: Augmenting Vision Transformers with Relation-Focused Learning for Cross-modal Information Retrieval

2024-8-9

Feature Selection as Deep Sequential Generative Learning

2024-8-9

Efficient GNN Explanation via Learning Removal-based Attribution

2024-8-7

Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Trustworthy Response Generation in Chinese

2024-8-6

Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding

2024-8-6

Billiards Sports Analytics: Datasets and Tasks

2024-8-6

Utility-oriented Reranking with Counterfactual Context

2024-7-31

Fair-RGNN: Mitigating Relational Bias on Knowledge Graphs

2024-7-31

A Compact Vulnerability Knowledge Graph for Risk Assessment

2024-7-31

Triangle Centrality

2024-7-31

Anomaly Detection in Dynamic Graphs: A Comprehensive Survey

2024-7-26

A Segment Augmentation and Prediction Consistency Framework for Multi-label Unknown Intent Detection

2024-7-26

A Survey of Co-Clustering

2024-7-25

Exploiting Pre-Trained Models and Low-Frequency Preference for Cost-Effective Transfer-based Attack

2024-7-25

Mobility Prediction via Rule-enhanced Knowledge Graph

2024-7-24

Large Scale K-Clustering

2024-7-20

Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training

2024-7-19

A Survey on Knowledge Graph Related Research in Smart City Domain

2024-7-19

Spatio-Temporal Parallel Transformer based model for Traffic Prediction

2024-7-19

Concept Evolution Detecting over Feature Streams

2024-7-13

Fair Federated Learning with Multi-Objective Hyperparameter Optimization

2024-7-12

Modeling Sequences as Star Graphs to Address Over-smoothing in Self-attentive Sequential Recommendation

2024-7-9

AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation

2024-7-8

MICCF: A Mutual Information Constrained Clustering Framework for Learning Clustering-Oriented Feature Representations

2024-7-7

Neighbor-enhanced Representation Learning for Link Prediction in Dynamic Heterogeneous Attributed Networks

2024-7-4

Towards Domain-Aware Stable Meta Learning for Out-of-Distribution Generalization

2024-7-3

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ACM Transactions on Knowledge Discovery from Data

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最新文章

STORM: A MapReduce framework for Symbolic Time Intervals series classification

A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators

SDE-HNN: Accurate and Well-calibrated Forecasting using Stochastic Differential Equations

NeuralCODE: Neural Compartmental Ordinary Differential Equations Model with AutoML for Interpretable Epidemic Forecasting

Multi-Label and Evolvable Dataset Preparation for Web-Based Object Detection

A novel tree-based method for interpretable reinforcement learning

FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning

Hubness-Enabled Clustering and Recovery for Large-Scale Incomplete Multi-View Data

Exploiting Pre-trained Language Models for Black-box Attack against Knowledge Graph Embeddings

LSTGCN: Inductive Spatial Temporal Imputation Using Long Short Term Dependencies

Efficient Generation of Hidden Outliers for Improved Outlier Detection

Towards Prototype-Based Self-Explainable Graph Neural Network

Fair Single Index Model

ProcessGAN: Generating Privacy-Preserving Time-Aware Process Data with Conditional Generative Adversarial Nets

Causal Discovery Using Weight-Based Conditional Independence Test

SPORT: A Subgraph Perspective on Graph Classification with Label Noise

Heterogeneous Network Motif Coding, Counting, and Profiling

A Spatial-Temporal Aggregated Graph Neural Network for Docked Bike-sharing Demand Forecasting

Towards Cross-lingual Social Event Detection with Hybrid Knowledge Distillation

Graph Representation Learning enhanced Semi-supervised Feature Selection

Detecting process duration drift using gamma mixture models in a left-truncated and right-censored environment

A Meta-learning Approach to Mitigating the Estimation Bias of Q-learning

Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey

VAE*: A Novel Variational Autoencoder via Revisiting Positive and Negative Samples for Top-N Recommendation

VITR: Augmenting Vision Transformers with Relation-Focused Learning for Cross-modal Information Retrieval

Feature Selection as Deep Sequential Generative Learning

Efficient GNN Explanation via Learning Removal-based Attribution

Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Trustworthy Response Generation in Chinese

Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding

Billiards Sports Analytics: Datasets and Tasks

Utility-oriented Reranking with Counterfactual Context

Fair-RGNN: Mitigating Relational Bias on Knowledge Graphs

A Compact Vulnerability Knowledge Graph for Risk Assessment

Triangle Centrality

Anomaly Detection in Dynamic Graphs: A Comprehensive Survey

A Segment Augmentation and Prediction Consistency Framework for Multi-label Unknown Intent Detection

A Survey of Co-Clustering

Exploiting Pre-Trained Models and Low-Frequency Preference for Cost-Effective Transfer-based Attack

Mobility Prediction via Rule-enhanced Knowledge Graph

Large Scale K-Clustering

Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training

A Survey on Knowledge Graph Related Research in Smart City Domain

Spatio-Temporal Parallel Transformer based model for Traffic Prediction

Concept Evolution Detecting over Feature Streams

Fair Federated Learning with Multi-Objective Hyperparameter Optimization

Modeling Sequences as Star Graphs to Address Over-smoothing in Self-attentive Sequential Recommendation

AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation

MICCF: A Mutual Information Constrained Clustering Framework for Learning Clustering-Oriented Feature Representations

Neighbor-enhanced Representation Learning for Link Prediction in Dynamic Heterogeneous Attributed Networks

Towards Domain-Aware Stable Meta Learning for Out-of-Distribution Generalization

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