首页
>
>
投稿咨询
微信添加科研助理

了解相关问题

加急服务
微信添加科研助理

了解相关问题

DATA MINING AND KNOWLEDGE DISCOVERY
ISSN：1384-5810

DATA MINING AND KNOWLEDGE DISCOVERY

DATA MIN KNOWL DISC
学科领域：计算机科学
是否预警：不在预警名单内
是否OA：否
录用周期：约6.0个月
新锐分区：计算机科学3区
年发文量：74
影响因子：4.3
JCR分区：Q2

基本信息

数据收集、存储和分发的进步已经产生了对计算工具和技术的需求，以帮助数据分析。数据库中的数据挖掘和知识发现（Data Mining and Knowledge Discovery in Databases，KDD）是一个快速发展的研究和应用领域，它建立在统计学、数据库、模式识别和学习、数据可视化、不确定性建模、数据仓库和OLAP、优化和高性能计算等多个领域的技术和理论基础之上。
1384-5810SCIE/Scopus收录
4.3
点击查看最新影响趋势>
5.1
新
2026年3月发布
点击查看历史分区趋势    >
大类学科小类学科Top期刊综述期刊
计算机科学3区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能
3区
COMPUTER SCIENCE, INFORMATION SYSTEMS 计算机：信息系统
3区
否
N/A
新
WOS期刊SCI分区  2024-2025最新升级版
按JIF指标学科分区收集子录JIF分区JIF排名百分位
学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
SCIE
Q2
68/204
学科：COMPUTER SCIENCE, INFORMATION SYSTEMS
SCIE
Q2
65/258
按JCR指标学科分区收集子录JCR分区JCR排名百分位
学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
SCIE
Q2
75/204
学科：COMPUTER SCIENCE, INFORMATION SYSTEMS
SCIE
Q2
108/258
87
74
点击查看年发文量趋势图>
8%较易约6.0个月-工程技术-计算机：人工智能
7%
点击查看自引率趋势图>
时间预警情况
2026年03月发布的新锐学术版不在预警名单中
2025年03月发布的2025版不在预警名单中
2024年02月发布的2024版不在预警名单中
2023年01月发布的2023版不在预警名单中
2021年12月发布的2021版不在预警名单中
2020年12月发布的2020版不在预警名单中
98.65%51.94%1.64%
CiteScore：8.20
SJR：1.019
SNIP：1.876
学科类别分区排名百分位
大类：Computer Science
小类：Computer Networks and Communications
Q1
83 / 507
大类：Computer Science
小类：Information Systems
Q1
90 / 474
大类：Computer Science
小类：Computer Science Applications
Q1
180 / 947

期刊高被引文献

Deep learning for time series classification: a review
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00619-1
catch22: CAnonical Time-series CHaracteristics
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00647-x
A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00638-y
On normalization and algorithm selection for unsupervised outlier detection
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00661-z
Deeply supervised model for click-through rate prediction in sponsored search
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00625-3
A unifying view of explicit and implicit feature maps of graph kernels
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00652-0
Attributed network embedding via subspace discovery
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00650-2
FURL: Fixed-memory and uncertainty reducing local triangle counting for multigraph streams
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00630-6
Subjectively interesting connecting trees and forests
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00627-1
HHMF: hidden hierarchical matrix factorization for recommender systems
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00632-4
A drift detection method based on dynamic classifier selection
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00656-w
Efficient mixture model for clustering of sparse high dimensional binary data
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00635-1
The decomposed normalized maximum likelihood code-length criterion for selecting hierarchical latent variable models
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00624-4
EACD: evolutionary adaptation to concept drifts in data streams
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00614-6
A new class of metrics for learning on real-valued and structured data
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00622-6
Mining relaxed functional dependencies from data
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00667-7
Wrangling messy CSV files by detecting row and type patterns
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00646-y
Robust active attacks on social graphs
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00631-5
A unified view of density-based methods for semi-supervised clustering and classification
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00651-1
Delayed labelling evaluation for data streams
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00654-y
Multi-location visibility query processing using portion-based transactional modeling and pattern mining
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00641-3
More for less: adaptive labeling payments in online labor markets
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00637-z
Matching code and law: achieving algorithmic fairness with optimal transport
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00658-8
Unsupervised dimensionality reduction versus supervised regularization for classification from sparse data
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00616-4
FastEE: Fast Ensembles of Elastic Distances for time series classification
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00663-x
Topical network embedding
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00659-7
An effective and versatile distance measure for spatiotemporal trajectories
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00615-5
Efficiently mining cohesion-based patterns and rules in event sequences
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00628-0
Identifying exceptional (dis)agreement between groups
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00665-9
A comparative study of data-dependent approaches without learning in measuring similarities of data objects
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00660-0
Grafting for combinatorial binary model using frequent itemset mining
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00657-9
SIAS-miner: mining subjectively interesting attributed subgraphs
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00664-w
Extending inverse frequent itemsets mining to generate realistic datasets: complexity, accuracy and emerging applications
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00643-1
Temporal density extrapolation using a dynamic basis approach
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00636-0
Deep multi-task learning for individuals origin–destination matrices estimation from census data
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00662-y
Clustering for heterogeneous information networks with extended star-structure
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00626-2
Contextual bandits with hidden contexts: a focused data capture from social media streams
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00648-w
Dynamics reconstruction and classification via Koopman features
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00639-x
A semi-supervised model for knowledge graph embedding
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00653-z
Counts-of-counts similarity for prediction and search in relational data
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00621-7
Guest Editorial
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00623-5
Introduction to the special issue for the ECML PKDD 2019 journal track
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00642-2
Algorithmic cache of sorted tables for feature selection
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00620-8
Mining skypatterns in fuzzy tensors
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00640-4
Setting decision thresholds when operating conditions are uncertain
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00613-7
Correction to: Domain agnostic online semantic segmentation for multi-dimensional time series
来源期刊：Data Mining and Knowledge DiscoveryDOI：10.1007/s10618-019-00618-2

相关文章

Materials Today Bio解析：IF=8.7，8天初审
2025-11-25
《ZEITSCHRIFT FUR GEBURTSHILFE UND NEONATOLOGIE》德国老牌产科期刊免版面费、非预警，毕业保底首选！
2025-11-25
Journal of Multidisciplinary Healthcare：IF= 2.4，中科院3区，JCR Q2，多学科综合医学开放获取期刊，应用性强，审稿迅速，编辑反馈专业！
2025-10-15
European Journal of Medical Genetics：IF= 1.7，中科院4区，JCR Q3，医学遗传学期刊，涵盖分子遗传学、临床基因诊断与罕见病研究，欧洲地区影响力较稳，国际传播适中！
2025-10-15
ANNALS OF ONCOLOGY：中科院1区，肿瘤学，接受率为25%
2025-10-15
Journal of Cystic Fibrosis：权威官方背景，高影响力，整体周期约 3 个月，部分 1 天录用
2025-10-15
JOURNAL OF INHERITED METABOLIC DISEASE：影响因子平稳，学术认可度高，年发文稳定，4个月录用
2025-10-15
JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE：自引风险小，审稿周期短，发表难度低，但if持续下降
2025-10-15
Neurobiology of Stress：中科院 2 区，认可度高，国人发文第二，机会公平
2025-10-15
NATURE REVIEWS DRUG DISCOVERY：中科院1区，生物工程与应用微生物，药学，接受率为21%
2025-10-15

期刊推荐

ACM Journal on Emerging Technologies in Computing Systems封面

ACM Journal on Emerging Technologies in Computing Systems

学科领域：计算机科学
影响因子：2.6
中科院分区： 3区
ACM Transactions on Algorithms封面

ACM Transactions on Algorithms

学科领域：计算机科学
影响因子：1.4
中科院分区： 3区
ACM TRANSACTIONS ON DATABASE SYSTEMS封面

ACM TRANSACTIONS ON DATABASE SYSTEMS

学科领域：计算机科学
影响因子：1.7
中科院分区： 3区
ACM Transactions on Embedded Computing Systems封面

ACM Transactions on Embedded Computing Systems

学科领域：计算机科学
影响因子：2.6
中科院分区： 3区
论文发表 2-4个月录用 7500+文章录用 不成功可退款
新
2026年3月发布（新锐分区）
大类学科小类学科Top期刊综述期刊
计算机科学3区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能
3区
COMPUTER SCIENCE, INFORMATION SYSTEMS 计算机：信息系统
3区
否
N/A
2025年3月升级版
大类学科小类学科Top期刊综述期刊
计算机科学3区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能
3区
COMPUTER SCIENCE, INFORMATION SYSTEMS 计算机：信息系统
4区
否
否
2023年12月旧的升级版
大类学科小类学科Top期刊综述期刊
计算机科学3区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能
3区
COMPUTER SCIENCE, INFORMATION SYSTEMS 计算机：信息系统
3区
否
否