World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
10721
World Ranking
4847
National Ranking
2259

Research.com Recognitions

  • 2009 - ACM Senior Member

Overview

Guozhu Dong is affiliated with Wright State University in the United States. Their research activity primarily spans the field of Computer Science, with focused contributions in several subfields including Artificial Intelligence, Computer Networks and Communications, Information Systems, and Computational Theory and Mathematics.

The scholar's work covers multiple core research topics. These include:

  • Anomaly Detection Techniques and Applications
  • Network Security and Intrusion Detection
  • Imbalanced Data Classification Techniques
  • Data Mining Algorithms and Applications
  • Rough Sets and Fuzzy Logic
  • Fuzzy Logic and Control Systems

Guozhu Dong has published in reputable venues such as:

  • ACM Transactions on Knowledge Discovery from Data
  • Knowledge-Based Systems

Two notable papers authored by Guozhu Dong include:

  • "Efficient Mining of Outlying Sequence Patterns for Analyzing Outlierness of Sequence Data" (2020), published in ACM Transactions on Knowledge Discovery from Data
  • "Efficient mining of concept-hierarchy aware distinguishing sequential patterns" (2022), published in Knowledge-Based Systems

The collaboration network of Guozhu Dong features frequent co-authors such as Tingting Wang, Lei Duan, Zhifeng Bao, Chengxin He, and Jyrki Nummenmaa, reflecting a diverse and active research partnership portfolio.

In recognition of professional standing, Guozhu Dong was awarded the ACM Senior Member designation in 2009, indicating acknowledged contributions to the computing community.

Best Publications

  • Efficient mining of emerging patterns: discovering trends and differences

    Guozhu Dong;Jinyan Li

  • Efficient mining of partial periodic patterns in time series database

    Jiawei Han;Guozhu Dong;Yiwen Yin

  • CAEP: Classification by Aggregating Emerging Patterns

    Guozhu Dong;Xiuzhen Zhang;Limsoon Wong;Jinyan Li

  • Multi-dimensional regression analysis of time-series data streams

    Yixin Chen;Guozhu Dong;Jiawei Han;Benjamin W. Wah

  • Sequence data mining

    Guozhu Dong

  • Efficient computation of Iceberg cubes with complex measures

    Jiawei Han;Jian Pei;Guozhu Dong;Ke Wang

  • Feature Engineering for Machine Learning and Data Analytics

    Guozhu Dong;Huan Liu

  • Making use of the most expressive jumping emerging patterns for classification

    Jinyan Li;Guozhu Dong;Kotagiri Ramamohanarao

  • Stream Cube: An Architecture for Multi-Dimensional Analysis of Data Streams

    Jiawei Han;Yixin Chen;Guozhu Dong;Jian Pei

  • Mining minimal distinguishing subsequence patterns with gap constraints

    Xiaonan Ji;J. Bailey;Guozhu Dong

  • Mining border descriptions of emerging patterns from dataset pairs

    Guozhu Dong;Jinyan Li

  • Relational expressive power of constraint query languages

    Michael Benedikt;Guozhu Dong;Leonid Libkin;Limsoon Wong

  • Interestingness of Discovered Association Rules in Terms of Neighborhood-Based Unexpectedness

    Guozhu Dong;Jinyan Li

  • Relational expressive power of constraint query languages

    Michael Benedikt;Guozhu Dong;Leonid Libkin;Limsoon Wong

  • DeEPs: A New Instance-Based Lazy Discovery and Classification System

    Jinyan Li;Guozhu Dong;Kotagiri Ramamohanarao;Limsoon Wong

  • Online Mining of Changes from Data Streams: Research Problems and Preliminary Results

    Guozhu Dong;Jiawei Han;Laks V.S. Lakshmanan;Jian Pei

  • Mining minimal distinguishing subsequence patterns with gap constraints

    Unknown

  • Contrast Data Mining: Concepts, Algorithms, and Applications

    Guozhu Dong;James Bailey

  • Advances in Data and Web Management

    Guozhu Dong;Xuemin Lin;Wei Wang;Yun Yang

  • Declarative workflows that support easy modification and dynamic browsing

    Richard Hull;Francois Llirbat;Eric Siman;Jianwen Su

  • Instance-Based Classification by Emerging Patterns

    Jinyan Li;Guozhu Dong;Kotagiri Ramamohanarao

Frequent Co-Authors

Jinyan Li
Jinyan Li University of Technology Sydney
Kotagiri Ramamohanarao
Kotagiri Ramamohanarao University of Melbourne
James Bailey
James Bailey University of Melbourne
Jian Pei
Jian Pei Duke University
Jianwen Su
Jianwen Su University of California, Santa Barbara
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Limsoon Wong
Limsoon Wong National University of Singapore
Ke Wang
Ke Wang Simon Fraser University
Leonid Libkin
Leonid Libkin University of Edinburgh
Benjamin W. Wah
Benjamin W. Wah Chinese University of Hong Kong

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