Faculty

Institution

Unit

Venue

Guozhu Dong

Wright State University

Affiliations

College of Engineering and Computer Science

Computer Science and Engineering

NoneGuozhu Dong is currently serving as a College Of Engineering And Computer Science faculty at Wright State University.

Honors

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Experiences

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Education

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Guozhu Dong

Wright State University

You can click a keyword to filter the displayed items

computer science data science data mining machine learning knowledge discovery pattern mining informatics pattern recognition data management bioinformatics database theory information retrieval databases pattern discovery systems engineering analytics classification method pattern analysis efficient mining statistics computational intelligence frequent pattern mining granular computing logic in computer science data classification knowledge engineering sequential patterns information technology data streams knowledge processing object categorization automatic classification data engineering data stream mining transitive closure machine learning research online information knowledge management multidimensional analysis data stream management data compression incremental maintenance data cubes statistical methodology computational statistics data privacy computational optimization biomedical informatics biomedical analysis multidimensional database online analytical processing streaming algorithms data streaming architecture community discovery structure discovery outlier detection first-order logic sequence analysis microarray data analysis object tracking knowledge data engineering knowledge technology constraint satisfaction structure mining iceberg cubes gap constraints data cube contrast data mining nonrecursive incremental evaluation density profiles termination problem first-order incremental evaluation sequence data chain queries sql aggregates musical expression

Notable Scholarly Works

Notable Federal Grants

Collaborators

GRMC: Towards Interpretable Classification Models That Are Also Accurate. (2023)

Guozhu DongNicholas Skapura

computer sciencecomputational intelligencemachine learningnatural language processinginterpretability

Efficient Mining of Concept-Hierarchy Aware Distinguishing Sequential Patterns. Knowledge-Based Systems (2022)

Chengxin HeLei DuanGuozhu DongJyrki NummenmaaTingting WangTinghai Pang

computer sciencepattern recognitionsequential patternsdata miningefficient miningpattern mining

Message From the Conference Chairs. ACM International Conference Proceeding Series (2021)

Joseph CavallaroGabriel FalcaoChairs SousaFarhana Sheikh

digital healthtelematicstechnologycommunicationtelehealthconference chairscommunications systemscovid-19informaticssignal processingsips meetingglobal health

Efficient Mining of Outlying Sequence Patterns for Analyzing Outlierness of Sequence Data. ACM Transactions on Knowledge Discovery from Data (2020)

Tingting WangLei DuanGuozhu DongZhifeng Bao

information retrievalsequence databioinformaticsoutlier detectionmachine learningknowledge discoverydata scienceinformaticsdata miningefficient miningsequence patterns

CAEP: Classification by Aggregating Multiple Matching Emerging Patterns. Synthesis lectures on data mining and knowledge discovery (2019)

Guozhu Dong

pattern matchingpattern recognitionmachine learningpattern discoveryknowledge discoverydata sciencedata miningpattern mining

Caep for Classification on Tiny Training Datasets, Compound Selection, and Instance Selection. Synthesis lectures on data mining and knowledge discovery (2019)

Guozhu Dong

instance selectionmachine learningknowledge discoverydata sciencecompound selectiondata mining

CPC: Pattern-Based Clustering Maximizing Cpcq. Synthesis lectures on data mining and knowledge discovery (2019)

Guozhu Dong

computer sciencemaximizing cpcqclusteringknowledge discoverydata sciencedata miningpattern mining

CPCQ: Contrast Pattern Based Clustering-Quality Evaluation. Synthesis lectures on data mining and knowledge discovery (2019)

Guozhu Dong

contrast patternclusteringknowledge discoverydata sciencedata miningclustering-quality evaluation

Cpxr and Cpxc: Pattern Aided Prediction Modeling and Prediction Model Analysis. Synthesis lectures on data mining and knowledge discovery (2019)

Guozhu Dong

prediction modellingpattern recognitionmachine learningpattern discoveryknowledge discoverydata-driven predictiondata sciencepredictive modelingpredictive analyticsprediction modelingdata miningprediction model analysis

Emerging Patterns and a Flexible Mining Algorithm. Synthesis lectures on data mining and knowledge discovery (2019)

Guozhu Dong

flexible mining algorithmpattern recognitionpattern discoverypattern formationknowledge discoverydata sciencepattern analysisdata miningpattern mining

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Guozhu Dong

Wright State University

Affiliations

College of Engineering and Computer Science

Computer Science and Engineering

NoneGuozhu Dong is currently serving as a College Of Engineering And Computer Science faculty at Wright State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Guozhu Dong

Wright State University

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

GRMC: Towards Interpretable Classification Models That Are Also Accurate. (2023)

Guozhu DongNicholas Skapura

computer sciencecomputational intelligencemachine learningnatural language processinginterpretability

Efficient Mining of Concept-Hierarchy Aware Distinguishing Sequential Patterns. Knowledge-Based Systems (2022)

Chengxin HeLei DuanGuozhu DongJyrki NummenmaaTingting WangTinghai Pang

computer sciencepattern recognitionsequential patternsdata miningefficient miningpattern mining

Message From the Conference Chairs. ACM International Conference Proceeding Series (2021)

Joseph CavallaroGabriel FalcaoChairs SousaFarhana Sheikh

digital healthtelematicstechnologycommunicationtelehealthconference chairscommunications systemscovid-19informaticssignal processingsips meetingglobal health

Efficient Mining of Outlying Sequence Patterns for Analyzing Outlierness of Sequence Data. ACM Transactions on Knowledge Discovery from Data (2020)

Tingting WangLei DuanGuozhu DongZhifeng Bao

information retrievalsequence databioinformaticsoutlier detectionmachine learningknowledge discoverydata scienceinformaticsdata miningefficient miningsequence patterns

CAEP: Classification by Aggregating Multiple Matching Emerging Patterns. Synthesis lectures on data mining and knowledge discovery (2019)

Guozhu Dong

pattern matchingpattern recognitionmachine learningpattern discoveryknowledge discoverydata sciencedata miningpattern mining

Caep for Classification on Tiny Training Datasets, Compound Selection, and Instance Selection. Synthesis lectures on data mining and knowledge discovery (2019)

Guozhu Dong

instance selectionmachine learningknowledge discoverydata sciencecompound selectiondata mining

CPC: Pattern-Based Clustering Maximizing Cpcq. Synthesis lectures on data mining and knowledge discovery (2019)

Guozhu Dong

computer sciencemaximizing cpcqclusteringknowledge discoverydata sciencedata miningpattern mining

CPCQ: Contrast Pattern Based Clustering-Quality Evaluation. Synthesis lectures on data mining and knowledge discovery (2019)

Guozhu Dong

contrast patternclusteringknowledge discoverydata sciencedata miningclustering-quality evaluation

Cpxr and Cpxc: Pattern Aided Prediction Modeling and Prediction Model Analysis. Synthesis lectures on data mining and knowledge discovery (2019)

Guozhu Dong

Emerging Patterns and a Flexible Mining Algorithm. Synthesis lectures on data mining and knowledge discovery (2019)

Guozhu Dong

flexible mining algorithmpattern recognitionpattern discoverypattern formationknowledge discoverydata sciencepattern analysisdata miningpattern mining

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10 / page

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Similar Faculty Members

Walid G. Aref

Institution

Purdue University

spatial analysis

geography

Carlotta Domeniconi

Institution

George Mason University

machine learning

computer science

Carlo Zaniolo

Institution

University of California, Los Angeles

semantic web

data stream management

Gautam Das

Institution

University of Texas at Arlington

big data

data management

Naren Ramakrishnan

Institution

Virginia Tech

applied artificial intelligence

multidisciplinary ai

Ahmed Elmagarmid

Institution

Purdue University

data management

data infrastructure

Cornelia Caragea

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University of Illinois Chicago

language resource

multidisciplinary ai

Srinivasan Parthasarathy

Institution

Ohio State University

biomedical informatics

high performance computing

Mitsunori Ogihara

Institution

University of Miami

music information retrieval

music theory

Xiangliang Lynn Zhang

Institution

University of Notre Dame

evolutionary data mining

optimization-based data mining