Academic social networks: Modeling, analysis, mining and applications

X Kong, Y Shi, S Yu, J Liu, F Xia - Journal of Network and Computer …, 2019 - Elsevier
In the fast-growing scholarly big data background, social network technologies have recently
aroused widespread attention in academia and industry. The concept of academic social …

[图书][B] Recommender systems

CC Aggarwal - 2016 - Springer
“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

A survey of heterogeneous information network analysis

C Shi, Y Li, J Zhang, Y Sun… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Most real systems consist of a large number of interacting, multi-typed components, while
most contemporary researches model them as homogeneous information networks, without …

[HTML][HTML] Reviewer assignment algorithms for peer review automation: A survey

X Zhao, Y Zhang - Information Processing & Management, 2022 - Elsevier
Assigning paper to suitable reviewers is of great significance to ensure the accuracy and
fairness of peer review results. In the past three decades, many researchers have made a …

Mining heterogeneous information networks: a structural analysis approach

Y Sun, J Han - ACM SIGKDD explorations newsletter, 2013 - dl.acm.org
Most objects and data in the real world are of multiple types, interconnected, forming
complex, heterogeneous but often semi-structured information networks. However, most …

[图书][B] Mining heterogeneous information networks: principles and methodologies

Y Sun, J Han - 2012 - books.google.com
Real world physical and abstract data objects are interconnected, forming gigantic,
interconnected networks. By structuring these data objects and interactions between these …

[图书][B] Data mining: concepts and techniques

J Han, J Pei, H Tong - 2022 - books.google.com
Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …

Semantic NLP-based information extraction from construction regulatory documents for automated compliance checking

J Zhang, NM El-Gohary - Journal of Computing in Civil Engineering, 2016 - ascelibrary.org
Automated regulatory compliance checking requires automated extraction of requirements
from regulatory textual documents and their formalization in a computer-processable rule …

A survey on heterogeneous network representation learning

Y Xie, B Yu, S Lv, C Zhang, G Wang, M Gong - Pattern recognition, 2021 - Elsevier
Heterogeneous information networks usually contain different kinds of nodes and
distinguishing types of relations, which can preserve more information than homogeneous …

Development of automatic-extraction model of poisonous clauses in international construction contracts using rule-based NLP

J Lee, JS Yi, JW Son - Journal of Computing in Civil Engineering, 2019 - ascelibrary.org
As construction projects have significantly increased in size and become more complicated,
the number of claims and dispute cases between participating parties during the …