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Data Mining and Knowledge Discovery

短名	Data Min Knowl Disc
Journal Impact	2.86
国际分区	COMPUTER SCIENCE, INFORMATION SYSTEMS(Q2)
期刊索引	SCI Q2中科院 3 区

ISSN	1384-5810, 1573-756X
h-index	117
国内分区	计算机科学(3区)计算机科学计算机人工智能(3区)计算机科学计算机信息系统(3区)

随着数据收集、存储和分发技术的进步，市场对数据分析工具和技术的需求日益增长。数据挖掘与知识发现（Data Mining and Knowledge Discovery，KDD）是一个快速发展的研究与应用领域，融合了统计学、数据库、模式识别与学习、数据可视化、不确定性建模、数据仓库与OLAP、优化以及高性能计算等多个学科的技术和理论。

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涉及主题	计算机科学人工智能数学数据挖掘机器学习统计程序设计语言哲学物理工程类心理学操作系统算法生物组合数学
出版信息	出版商: Springer Netherlands，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: 98.91%，自引率:0.00%， Gold OA占比: 44.96%
平均审稿周期	网友分享经验：平均6.0个月
平均录用比例	网友分享经验：较易

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FRUITS: feature extraction using iterated sums for time series classification

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Bounding the family-wise error rate in local causal discovery using Rademacher averages

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Evaluating the disclosure risk of anonymized documents via a machine learning-based re-identification attack

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Efficient learning with projected histograms

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Opinion dynamics in social networks incorporating higher-order interactions

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Correction: Marginal effects for non-linear prediction functions

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Model-agnostic variable importance for predictive uncertainty: an entropy-based approach

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Detach-ROCKET: sequential feature selection for time series classification with random convolutional kernels

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Bayesian network Motifs for reasoning over heterogeneous unlinked datasets

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Regularization-based methods for ordinal quantification

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Random walks with variable restarts for negative-example-informed label propagation

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Statistical methods utilizing structural properties of time-evolving networks for event detection

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ArcMatch: high-performance subgraph matching for labeled graphs by exploiting edge domains

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Discord-based counterfactual explanations for time series classification

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On regime changes in text data using hidden Markov model of contaminated vMF distribution

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Sequential query prediction based on multi-armed bandits with ensemble of transformer experts and immediate feedback

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Evaluating outlier probabilities: assessing sharpness, refinement, and calibration using stratified and weighted measures

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Enhancing racism classification: an automatic multilingual data annotation system using self-training and CNN

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Gradient-based explanation for non-linear non-parametric dimensionality reduction

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De-confounding representation learning for counterfactual inference on continuous treatment via generative adversarial network

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Explainable decomposition of nested dense subgraphs

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Negative-sample-free knowledge graph embedding

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Knowledge graph embedding closed under composition

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Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms

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Towards effective urban region-of-interest demand modeling via graph representation learning

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Randomnet: clustering time series using untrained deep neural networks

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Robust explainer recommendation for time series classification

2024-6-20

Series2vec: similarity-based self-supervised representation learning for time series classification

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GeoRF: a geospatial random forest

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Modelling event sequence data by type-wise neural point process

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The impact of variable ordering on Bayesian network structure learning

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Uplift modeling with quasi-loss-functions

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Modeling the impact of out-of-schema questions in task-oriented dialog systems

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Intention enhanced mixed attentive model for session-based recommendation

2024-6-3

Improving graph-based recommendation with unraveled graph learning

2024-6-2

Bias-aware ranking from pairwise comparisons

2024-5-31

A practical approach to novel class discovery in tabular data

2024-5-31

LoCoMotif: discovering time-warped motifs in time series

2024-5-30

Effective interpretable learning for large-scale categorical data

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On the impact of multi-dimensional local differential privacy on fairness

2024-5-27

WaveLSea: helping experts interactively explore pattern mining search spaces

2024-5-26

Active learning with biased non-response to label requests

2024-5-25

quant: a minimalist interval method for time series classification

2024-5-22

Intersectional fair ranking via subgroup divergence

2024-5-21

MSGNN: Multi-scale Spatio-temporal Graph Neural Network for epidemic forecasting

2024-5-21

The Hadamard decomposition problem

2024-5-21

Unsupervised feature based algorithms for time series extrinsic regression

2024-5-19

Towards more sustainable and trustworthy reporting in machine learning

2024-4-30

Interpretable representations in explainable AI: from theory to practice

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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

Data Mining and Knowledge Discovery

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5位以上作者的期刊

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最新文章

FRUITS: feature extraction using iterated sums for time series classification

Bounding the family-wise error rate in local causal discovery using Rademacher averages

Evaluating the disclosure risk of anonymized documents via a machine learning-based re-identification attack

Efficient learning with projected histograms

Opinion dynamics in social networks incorporating higher-order interactions

Correction: Marginal effects for non-linear prediction functions

Model-agnostic variable importance for predictive uncertainty: an entropy-based approach

Detach-ROCKET: sequential feature selection for time series classification with random convolutional kernels

Bayesian network Motifs for reasoning over heterogeneous unlinked datasets

Regularization-based methods for ordinal quantification

Random walks with variable restarts for negative-example-informed label propagation

Statistical methods utilizing structural properties of time-evolving networks for event detection

ArcMatch: high-performance subgraph matching for labeled graphs by exploiting edge domains

Discord-based counterfactual explanations for time series classification

On regime changes in text data using hidden Markov model of contaminated vMF distribution

Sequential query prediction based on multi-armed bandits with ensemble of transformer experts and immediate feedback

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Evaluating outlier probabilities: assessing sharpness, refinement, and calibration using stratified and weighted measures

Enhancing racism classification: an automatic multilingual data annotation system using self-training and CNN

Gradient-based explanation for non-linear non-parametric dimensionality reduction

De-confounding representation learning for counterfactual inference on continuous treatment via generative adversarial network

Explainable decomposition of nested dense subgraphs

Negative-sample-free knowledge graph embedding

Knowledge graph embedding closed under composition

Correction: Bake off redux: a review and experimental evaluation of recent time series classification algorithms

Towards effective urban region-of-interest demand modeling via graph representation learning

Randomnet: clustering time series using untrained deep neural networks

Robust explainer recommendation for time series classification

Series2vec: similarity-based self-supervised representation learning for time series classification

GeoRF: a geospatial random forest

Modelling event sequence data by type-wise neural point process

The impact of variable ordering on Bayesian network structure learning

Uplift modeling with quasi-loss-functions

Modeling the impact of out-of-schema questions in task-oriented dialog systems

Intention enhanced mixed attentive model for session-based recommendation

Improving graph-based recommendation with unraveled graph learning

Bias-aware ranking from pairwise comparisons

A practical approach to novel class discovery in tabular data

LoCoMotif: discovering time-warped motifs in time series

Effective interpretable learning for large-scale categorical data

On the impact of multi-dimensional local differential privacy on fairness

WaveLSea: helping experts interactively explore pattern mining search spaces

Active learning with biased non-response to label requests

quant: a minimalist interval method for time series classification

Intersectional fair ranking via subgroup divergence

MSGNN: Multi-scale Spatio-temporal Graph Neural Network for epidemic forecasting

The Hadamard decomposition problem

Unsupervised feature based algorithms for time series extrinsic regression

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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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