Two approaches for novelty detection using random forest

No abstract is available for this paper.

• Publication year

  2015

• Venue

  Expert systems with applications

• Publication date

  2015-06-15

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1016/j.eswa.2014.12.028
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Real time contextual collective anomaly detection over multiple data streams

  2014cited by this paper
• Ensemble-based Classification for Author Profiling Using Various Features Notebook for PAN at CLEF 2013

  2013cited by this paper
• Network anomaly detection with the restricted Boltzmann machine

  2013cited by this paper
• Ensemble-based classifiers

  2010cited by this paper
• One-Class Classification with Gaussian Processes

  2010cited by this paper
• Ensemble based systems in decision making

  2006cited by this paper
• Support vector machines for novel class detection in Bioinformatics.

  2005cited by this paper
• On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality

  2004cited by this paper
• A Survey of Outlier Detection Methodologies

  2004cited by this paper
• Novelty detection: a review - part 2: : neural network based approaches

  2003cited by this paper
• One-Class SVMs for Document Classification

  2002cited by this paper
• Random Forests

  2001cited by this paper
• One-class SVM for learning in image retrieval

  2001cited by this paper
• A Mixture Approach to Novelty Detection Using Training Data with Outliers

  2001cited by this paper
• Efficient algorithms for mining outliers from large data sets

  2000cited by this paper
• Support Vector Method for Novelty Detection

  1999cited by this paper
• Machine-Learning Research Four Current Directions

  1997cited by this paper
• Bagging Predictors

  1996cited by this paper

• Crossbreeding in Random Forest

  2021cites this paper
• Data stream classification with novel class detection: a review, comparison and challenges

  2021cites this paper
• Predictive models with end user preference

  2021cites this paper
• Online detection of anomaly behaviors based on multidimensional trajectories

  2020cites this paper
• Infrared Target Extraction Based on Immune Extension Neural Network

  2020cites this paper
• Ensemble-learning based neural networks for novelty detection in multi-class systems

  2020cites this paper
• Application of Employment Quality Analysis Model Based on Professional Competence System

  2020cites this paper
• Increasing the views and reducing the depth in random forest

  2019cites this paper
• Towards Pixel-Level OOD Detection for Semantic Segmentation

  2019cites this paper
• Ensemble probability distribution for novelty detection

  2018influential citation
• Novel climates: Trajectories of climate change beyond the boundaries of British Columbia’s forest management knowledge system

  2018cites this paper
• Predicting fraud in mobile money transfer

  2018cites this paper
• A comparison of learning methods over raw data: forecasting cab services market share in New York City

  2018cites this paper
• Style Recognition in Paintings using Deep Learning

  2017cites this paper
• Random Regression Forest Model using Technical Analysis Variables: An application on Turkish Banking Sector in Borsa Istanbul (BIST)

  2016cites this paper
• Enhanced Industrial Machinery Condition Monitoring Methodology Based on Novelty Detection and Multi-Modal Analysis

  2016cites this paper
• A Data Mining Framework for Tea Price Evaluation

  2016cites this paper
• Data-driven solutions for power system fault analysis and novelty detection

  2016cites this paper
• Tree Space Prototypes: Another Look at Making Tree Ensembles Interpretable

  2016cites this paper
• Combination of Trees for Guillain-Barré Subtype Classification

  2016cites this paper
• New Trends in Power Quality Event Analysis: Novelty Detection and Unsupervised Classification

  2016cites this paper
• Novelty detection and multi-class classification in power distribution voltage waveforms

  2016cites this paper
• Distance-based online classifiers

  2016cites this paper
• PETs: A Stable and Accurate Predictor of Protein-Protein Interacting Sites Based on Extremely-Randomized Trees

  2015cites this paper