Jörg Sander

Jörg Sander

University of Alberta

H-index: 50

North America-Canada

About Jörg Sander

Jörg Sander, With an exceptional h-index of 50 and a recent h-index of 30 (since 2020), a distinguished researcher at University of Alberta, specializes in the field of Data Mining, Clustering, Spatial and Temporal Data, Databases.

His recent articles reflect a diverse array of research interests and contributions to the field:

ESIREOS: Efficient, Scalable, Internal, Relative Evaluation of Outliers Solutions

Personalized and Explainable Aspect-based Recommendation using Latent Opinion Groups

On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles

Potential of dissimilarity measure-based computation of protein thermal stability data for determining protein interactions

Similarity-Based Unsupervised Evaluation of Outlier Detection

Core-SG: efficient computation of multiple MSTS for density-based methods

Model-Based Clustering with HDBSCAN

Correction to: A unified view of density-based methods for semi-supervised clustering and classification

Jörg Sander Information

University

Position

Professor Computing Science

Citations(all)

64188

Citations(since 2020)

32301

Cited By

43439

hIndex(all)

50

hIndex(since 2020)

30

i10Index(all)

91

i10Index(since 2020)

56

Email

University Profile Page

Google Scholar

Jörg Sander Skills & Research Interests

Data Mining

Clustering

Spatial and Temporal Data

Databases

Top articles of Jörg Sander

ESIREOS: Efficient, Scalable, Internal, Relative Evaluation of Outliers Solutions

2023/12/17

Jörg Sander
Jörg Sander

H-Index: 28

Personalized and Explainable Aspect-based Recommendation using Latent Opinion Groups

Authorea Preprints

2023/8/8

On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles

Data Mining and Knowledge Discovery

2023/7

Jörg Sander
Jörg Sander

H-Index: 28

Arthur Zimek
Arthur Zimek

H-Index: 36

Potential of dissimilarity measure-based computation of protein thermal stability data for determining protein interactions

Briefings in Bioinformatics

2023/5

Similarity-Based Unsupervised Evaluation of Outlier Detection

2022/9/28

Arthur Zimek
Arthur Zimek

H-Index: 36

Jörg Sander
Jörg Sander

H-Index: 28

Core-SG: efficient computation of multiple MSTS for density-based methods

2022/5/9

Model-Based Clustering with HDBSCAN

2021

Jörg Sander
Jörg Sander

H-Index: 28

Correction to: A unified view of density-based methods for semi-supervised clustering and classification

Data Mining and Knowledge Discovery

2020/11

Arthur Zimek
Arthur Zimek

H-Index: 36

Jörg Sander
Jörg Sander

H-Index: 28

Internal evaluation of unsupervised outlier detection

ACM Transactions on Knowledge Discovery from Data (TKDD)

2020/6/26

Jörg Sander
Jörg Sander

H-Index: 28

Arthur Zimek
Arthur Zimek

H-Index: 36

Density‐based clustering

2011/5

See List of Professors in Jörg Sander University(University of Alberta)

Co-Authors

academic-engine