Classification and Outlier Detection Methods

Focusing on classifiers and outlier detection, this cluster explores methods for evaluating and improving classification effectiveness. It encompasses techniques for feature selection and pattern mining without the need for candidate generation.

classification
outlier detection
feature selection
evaluation metrics
data patterns
machine learning

6,374 papers

Parent topic: Data Mining Techniques and Applications

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Papers Over Time

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Top Papers

Toward Integrating Feature Selection Algorithms For Classification And Clustering

2005 · 1,760 citations

Mining Frequent Patterns Without Candidate Generation

2000 · 1,685 citations

A Review On Evaluation Metrics For Data Classification Evaluations

2015 · 1,639 citations

Classification Of Imbalanced Data: A Review

2009 · 1,221 citations

An Insight Into Classification With Imbalanced Data: Empirical Results And Current Trends On Using Data Intrinsic Characteristics

2013 · 1,212 citations

Mining With Rarity

2004 · 1,006 citations

Mining Sequential Patterns: Generalizations And Performance Improvements

1996 · 933 citations

Efficient Algorithms For Mining Outliers From Large Data Sets

2000 · 880 citations

Benchmarking Attribute Selection Techniques For Discrete Class Data Mining

2003 · 835 citations

Fine-Tuning Some Resistant Rules For Outlier Labeling

1987 · 831 citations

Data Mining

2002 · 791 citations

Mining Text Data

2012 · 759 citations

Mining Of Massive Datasets

2014 · 757 citations

Unsupervised Real-Time Anomaly Detection For Streaming Data

2017 · 679 citations

Text Mining Infrastructure inR

2008 · 665 citations

A Clustering Technique For Summarizing Multivariate Data

1967 · 661 citations

Mining Multi-label Data

2009 · 628 citations

Data Mining Of The Public Version Of The FDA Adverse Event Reporting System

2013 · 590 citations

Data Mining

2015 · 585 citations

Data Clustering

2013 · 556 citations