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Arthur Zimek
Outlier Detection in Graphs: a Study on the Impact of Multiple Graph Models
Comparison of Data Mining Methods on Different Applications: Clustering and Classification Methods
A Study on the Impact of Multiple Graph Models Campos, Guilherme Oliveira; Moreira, Edré; Meira, Wagner; Zimek, Arthur
Automated Exploration for Interactive Outlier Detection
My Journey to Data Mining
Outlier Detection with Explanations on Music Streaming Data: a Case Study with Danmark Music Group Ltd
Angle-Based Outlier Detectin in High-Dimensional Data
Density-Based Clustering Validation
Outlier Detection Techniques
47 Internal Evaluation of Unsupervised Outlier Detection
Arxiv:1901.01588V2 [Cs.LG] 10 Jun 2019 a Means to Reliably Perform Pattern Recognition (Akoglu Et Al., 2012)
Community Distribution Outlier Detection in Heterogeneous Information Networks
There and Back Again: Outlier Detection Between Statistical Reasoning and Data Mining Algorithms
ELKI: a Large Open-Source Library for Data Analysis
Chapter 16 Frequent Pattern Mining Algorithms for Data Clustering
A Survey on Enhanced Subspace Clustering
Introduction to Computer Science
Dependency-Based Anomaly Detection: Framework, Methods and Benchmark
Top View
Outlier Detection Techniques
Deep Learning for Anomaly Detection: a Review
Package 'Dbscan'
University of Southern Denmark Outlier Detection in Urban Traffic
ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series
Ansættelse Professor Institut for Matematik Og Datalogi Syddansk Universitet Odense M 1
Accepted Version (PDF 1MB)
Interpreting and Unifying Outlier Scores
Outlier Detection and Trend Detection: Two Sides of the Same Coin Preprint — Publisher Version Available At
32 Multi-View Low-Rank Analysis with Applications to Outlier Detection
Linear Density-Based Clustering with a Discrete Density Model Arxiv
Ensembles for Unsupervised Outlier Detection: Challenges and Research Questions
Pyod: a Python Toolbox for Scalable Outlier Detection
Subspace Clustering, Pattern-Based Clustering, and Correlation Clustering
Detecting Clusters in Moderate-To-High Dimensional Data: Subspace Clustering, Pattern-Based Clustering, and Correlation Clustering
A Study of Unsupervised Outlier Detection for One-Class Classification
Correlation Clustering
Dimensional Testing for Reverse K-Nearest Neighbor Search