雜志介紹

Ieee Transactions On Knowledge And Data Engineering雜志介紹

《Ieee Transactions On Knowledge And Data Engineering》是一本以English為主的未開放獲取國際優(yōu)秀期刊，中文名稱IEEE知識與數(shù)據(jù)工程匯刊，本刊主要出版、報道計算機(jī)科學(xué)-COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE領(lǐng)域的研究動態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進(jìn)展，探討行業(yè)發(fā)展的思路和方法，以促進(jìn)學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為8.9，最新CiteScore 指數(shù)為11.7。

本刊近期中國學(xué)者發(fā)表的論文主要有：

• Topic Modeling of Short Texts: A Pseudo-Document View With Word Embedding Enhancement

  Author: Zuo, Yuan; Li, Congrui; Lin, Hao; Wu, Junjie

• Graph-Based Embedding Smoothing for Sequential Recommendation

  Author: Zhu, Tianyu; Sun, Leilei; Chen, Guoqing

• Embedding Disentanglement in Graph Convolutional Networks for Recommendation

  Author: Zhu, Tianyu; Sun, Leilei; Chen, Guoqing

• Adversarial Attacks on Multi-Network Mining: Problem Definition and Fast Solutions

  Author: Zhou, Qinghai; Li, Liangyue; Cao, Nan; Ying, Lei; Tong, Hanghang

英文介紹

Ieee Transactions On Knowledge And Data Engineering雜志英文介紹

The scope includes the knowledge and data engineering aspects of computer science, artificial intelligence, electrical engineering, computer engineering, and other appropriate fields. This Transactions provides an international and interdisciplinary forum to communicate results of new developments in knowledge and data engineering and the feasibility studies of these ideas in hardware and software. Specific areas to be covered are as follows: Fields and Areas of Knowledge and Data Engineering: (a) Knowledge and data engineering aspects of knowledge based and expert systems, (b) Artificial Intelligence techniques relating to knowledge and data management, (c) Knowledge and data engineering tools and techniques, (d) Distributed knowledge base and database processing, (e) Real-time knowledge bases and databases, (f) Architectures for knowledge and data based systems, (g) Data management methodologies, (h) Database design and modeling, (i) Query, design, and implementation languages, (j) Integrity, security, and fault tolerance, (k) Distributed database control, (l) Statistical databases, (m) System integration and modeling of these systems, (n) Algorithms for these systems, (o) Performance evaluation of these algorithms, (p) Data communications aspects of these systems, and (q) Applications of these systems.