IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING(英文缩写 IEEE T KNOWL DATA EN),ISSN 1041-4347,eISSN 1558-2191 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
指标来源：jcr_cas_ifqb
期刊简介
暂无简介。
历年影响因子趋势
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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 最新收录文献
※ 中文译文由 AI 辅助生成,仅供学术参考,请以英文原文为准。
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STORM: Exploiting Spatiotemporal Continuity for Trajectory Similarity Learning in Road Networks.
Trajectory similarity in road networks is pivotal for numerous applications in transportation, urban planning, and ridesharing. However, due to the varying lengths of trajectories, employing similarit…
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Data Synthesis Reinvented: Preserving Missing Patterns for Enhanced Analysis.
Synthetic data is being widely used as a replacement or enhancement for real data in fields as diverse as healthcare, telecommunications, and finance. Unlike real data, which represents actual people …
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Cafe: Improved Federated Data Imputation by Leveraging Missing Data Heterogeneity.
Federated learning (FL), a decentralized machine learning approach, offers great performance while alleviating autonomy and confidentiality concerns. Despite FL's popularity, how to deal with missing …
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Hierarchical Active Learning with Label Proportions on Data Regions.
Learning classification models from real-world data often requires substantial human effort devoted to instance annotation. As the instance-based annotating process can be very time-consuming and cost…
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A Neural Database for Answering Aggregate Queries on Incomplete Relational Data.
Real-world datasets are often incomplete due to data collection cost, privacy considerations or as a side effect of data integration/preparation. We focus on answering aggregate queries on such datase…
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Identifying Anomalies while Preserving Privacy.
Identifying anomalies in data is vital in many domains, including medicine, finance, and national security. However, privacy concerns pose a significant roadblock to carrying out such an analysis. Sin…
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Weakly Supervised Concept Map Generation through Task-Guided Graph Translation.
Recent years have witnessed the rapid development of concept map generation techniques due to their advantages in providing well-structured summarization of knowledge from free texts. Traditional unsu…
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Pushing ML Predictions Into DBMSs. 将机器学习预测推送到DBMS中
In the past decade, many approaches have been suggested to execute ML workloads on a DBMS. However, most of them have looked at in-DBMS ML from a training perspective, whereas ML inference has been la…
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{"_":"M: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation.","sup":["2"]}
Next-basket recommendation considers the problem of recommending a set of items into the next basket that users will purchase as a whole. In this paper, we develop a novel mixed model with preferences…
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Domain-specific Topic Model for Knowledge Discovery in Computational and Data-Intensive Scientific Communities.
Shortened time to knowledge discovery and adapting prior domain knowledge is a challenge for computational and data-intensive communities such as e.g., bioinformatics and neuroscience. The challenge f…