A novel outlier cluster detection algorithm without top-n parameter

No abstract is available for this paper.

• Publication year

  2017

• Venue

  Knowledge-Based Systems

• Publication date

  2017-04-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1016/j.knosys.2017.01.013
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• A non-parameter outlier detection algorithm based on Natural Neighbor

  2016cited by this paper
• An Efficient Outlier Detection Algorithms based on Data Clustering over Massive Data

  2015cited by this paper
• A Cluster-Based Outlier Detection Scheme for Multivariate Data

  2015cited by this paper
• Robust outlier detection using the instability factor

  2014cited by this paper
• A Data Stream Outlier Detection Algorithm Based on Reverse K Nearest Neighbors

  2011cited by this paper
• Cluster-based outlier detection

  2009cited by this paper
• Clustering Algorithm of Outliers Based on Adjacency Graph

  2008cited by this paper
• A local-density based spatial clustering algorithm with noise

  2007cited by this paper
• Ranking Outliers Using Symmetric Neighborhood Relationship

  2006cited by this paper
• Discovering cluster-based local outliers

  2003cited by this paper
• FindOut: Finding Outliers in Very Large Datasets

  2002cited by this paper
• Two-phase clustering process for outliers detection

  2001cited by this paper
• Mining top-n local outliers in large databases

  2001cited by this paper
• LOF: identifying density-based local outliers

  2000cited by this paper
• Distance-based outliers: algorithms and applications

  2000cited by this paper
• Data Mining: Concepts and Techniques

  2000cited by this paper
• Fast Computation of 2-Dimensional Depth Contours

  1998cited by this paper
• A Unified Notion of Outliers: Properties and Computation

  1997cited by this paper
• Connectivity of the mutual k-nearest-neighbor graph in clustering and outlier detection

  1997cited by this paper
• Computing depth contours of bivariate point clouds

  1996cited by this paper
• Identification of Outliers

  1980cited by this paper
• Outliers in Statistical Data

  year unknowncited by this paper

• Grid physics-informed and time-adaptive stacked learning for real-time electricity price forecasting: a short-term to mid-term approach

  2026cites this paper
• GREAD: Granular relative entropy-based anomaly detection in hybrid data

  2026cites this paper
• Outlier detection using local density and global structure

  2025cites this paper
• Intelligent System for Fake User Detection in Social Networks Using Dragon Fly-Neural Network Approach

  2025cites this paper
• Online Identification and Correction Methods for Multi-Type Abnormal Values in Seepage Pressure of Earth-Rock Dams

  2025cites this paper
• Anomaly detection based on fuzzy neighborhood rough sets

  2025cites this paper
• Escape velocity-based adaptive outlier detection algorithm

  2025cites this paper
• Outlier detection in mixed-attribute data: A semi-supervised approach with fuzzy approximations and relative entropy

  2025cites this paper
• GBNOD: Granular-ball neighborhood outlier detection

  2025cites this paper
• Empirical study of outlier impact in classification context

  2024cites this paper
• Coulomb's law-inspired parameter-free outlier detection algorithm

  2024cites this paper
• Integrating granular computing with density estimation for anomaly detection in high-dimensional heterogeneous data

  2024cites this paper
• Recent advances in anomaly detection in Internet of Things: Status, challenges, and perspectives

  2024cites this paper
• ARDOD: adaptive radius density-based outlier detection

  2024cites this paper
• Comparative study of neighbor-based methods for local outlier detection

  2024cites this paper
• Fusing multi-scale fuzzy information to detect outliers

  2024cites this paper
• A novel outlier detection approach based on formal concept analysis

  2023cites this paper
• Searching natural neighbors in an accelerated way

  2023cites this paper
• Attribute-weighted outlier detection for mixed data based on parallel mutual information

  2023cites this paper
• Improved Denclue Outlier Detection Algorithm With Differential Privacy and Attribute Fuzzy Priority Relation Ordering

  2023influential citation
• Fuzzy granular anomaly detection using Markov random walk

  2023cites this paper
• Extended natural neighborhood for SMOTE and its variants in imbalanced classification

  2023cites this paper
• A double-weighted outlier detection algorithm considering the neighborhood orientation distribution of data objects

  2023cites this paper
• A novel outlier detecting algorithm based on the outlier turning points

  2023cites this paper
• Anomaly detection of satellite telemetry data based on extended dominant sets clustering

  2023cites this paper
• Density-Distance Outlier Detection Algorithm Based on Natural Neighborhood

  2023cites this paper
• An Efficient Outlier Detection Approach for Streaming Sensor Data Based on Neighbor Difference and Clustering

  2022influential citation
• Fraud Analytics: A Decade of Research - Organizing Challenges and Solutions in the Field

  2022cites this paper
• The Research progress and prospect of data mining methods on corrosion prediction of oil and gas pipelines

  2022cites this paper
• A novel density-based outlier detection method using key attributes

  2022cites this paper
• A Novel Minimum Spanning Tree Clustering Algorithm Based on Density Core

  2022cites this paper
• Two novel outlier detection approaches based on unsupervised possibilistic and fuzzy clustering

  2022cites this paper
• A neighborhood weighted-based method for the detection of outliers

  2022cites this paper
• Detecting Outliers in Data Streams Based on Minimum Rare Pattern Mining and Pattern Matching

  2022cites this paper
• MWFP-outlier: Maximal weighted frequent-pattern-based approach for detecting outliers from uncertain weighted data streams

  2022cites this paper
• Natural Neighbor Clustering Algorithm without Boundary

  2021cites this paper
• Data clustering via cooperative games: A novel approach and comparative study

  2021cites this paper
• A Soft Method for Outliers Detection at the Edge of the Network

  2021cites this paper
• Mixed aggregation functions for outliers detection

  2021cites this paper
• Outliers detection for accurate HRV-seizure baseline estimation using modern numerical algorithms

  2021cites this paper
• Landmark based Outliers Detection in Pervasive Applications

  2021cites this paper
• A Roc Curve Based K-Means Clustering for Outlier Detection Using Dragon Fly Optimization

  2021cites this paper
• A New Density Clustering Method Using Mutual Nearest Neighbor

  2021cites this paper
• Anomaly Detection With Representative Neighbors

  2021cites this paper
• Credit Card Fraud Detection in Card-Not-Present Transactions: Where to Invest?

  2021cites this paper
• Outlier Detection in Wellness Data using Probabilistic Mapped Mean-Shift Algorithms

  2021cites this paper
• ADD: a new average divergence difference-based outlier detection method with skewed distribution of data objects

  2021cites this paper
• An efficient anomaly detection method for uncertain data based on minimal rare patterns with the consideration of anti-monotonic constraints

  2021cites this paper
• Distance Based Pattern Driven Mining for Outlier Detection in High Dimensional Big Dataset

  2021cites this paper
• H‐type indices with applications in chemometrics II: h‐outlyingness index

  2021cites this paper
• ExNN-SMOTE: Extended Natural Neighbors Based SMOTE to Deal with Imbalanced Data

  2021cites this paper
• Integrating fuzzy constraint with feature correlation for local outlier mining

  2021cites this paper
• Information Security - 23rd International Conference, ISC 2020, Bali, Indonesia, December 16-18, 2020, Proceedings

  2020cites this paper
• Comparing the Performance of Anomaly Detection Algorithms

  2020cites this paper
• SDCOR: Scalable Density-based Clustering for Local Outlier Detection in Massive-Scale Datasets

  2020cites this paper
• UWFP-Outlier: an efficient frequent-pattern-based outlier detection method for uncertain weighted data streams

  2020cites this paper
• A density-core-based clustering algorithm with local resultant force

  2020cites this paper
• A local-gravitation-based method for the detection of outliers and boundary points

  2020cites this paper
• MiFI-Outlier: Minimal infrequent itemset-based outlier detection approach on uncertain data stream

  2020cites this paper
• RKDOS: A Relative Kernel Density-based Outlier Score

  2020cites this paper
• An efficient approach for outlier detection from uncertain data streams based on maximal frequent patterns

  2020cites this paper
• A critical overview of outlier detection methods

  2020cites this paper
• Abnormal operation status identification in warehousing based on neighborhood information entropy considering mixed-valued attributes

  2020cites this paper
• Minimal Rare-Pattern-Based Outlier Detection Method for Data Streams by Considering Anti-monotonic Constraints

  2020cites this paper
• Abnormal Condition Detection Integrated with Kullback Leibler Divergence and Relative Importance Function for Cement Raw Meal Calcination Process

  2020cites this paper
• Weighted Outlier Detection of High-Dimensional Categorical Data Using Feature Grouping

  2020cites this paper
• High Dimensional Fuzzy Outlier Detection

  2019cites this paper
• Crow-AFL: Crow Based Adaptive Fractional Lion Optimization Approach for the Intrusion Detection

  2019cites this paper
• Detecting Pickpocketing Gangs on Buses with Smart Card Data

  2019cites this paper
• A hierarchical memory network-based approach to uncertain streaming data

  2019cites this paper
• DELR: A double-level ensemble learning method for unsupervised anomaly detection

  2019cites this paper
• Genetic algorithm based optimization of deep convolutional neural network ensemble for pedestrian moving direction recognition

  2019influential citation
• An Efficient Outlier Detection Approach Over Uncertain Data Stream Based on Frequent Itemset Mining

  2019influential citation
• A New Outlier Detection Method Based on Machine Learning

  2019cites this paper
• Supervised AFRC (Ada boost fast regression) machine learning algorithm for enhancing performance of intrusion detection system

  2019cites this paper
• Outlier detection based on cluster outlier factor and mutual density

  2019cites this paper
• A method to detect data outliers from smart urban spaces via tensor analysis

  2019cites this paper
• An efficient outlier detection approach on weighted data stream based on minimal rare pattern mining

  2019cites this paper
• An Outlier Fuzzy Detection Method Using Fuzzy Set Theory

  2019cites this paper
• A Parameter-Free Outlier Detection Algorithm Based on Dataset Optimization Method

  2019cites this paper
• Benchmarking Daily Line Loss Rates of Low Voltage Transformer Regions in Power Grid Based on Robust Neural Network

  2019cites this paper
• Churn Prediction in Banking System using K-Means, LOF, and CBLOF

  2019cites this paper
• A Minimum Rare-Itemset-Based Anomaly Detection Method and Its Application on Sensor Data Stream

  2019cites this paper
• An outlier detection algorithm based on an integrated outlier factor

  2019cites this paper
• Soft Measurement Model of Raw Meal Decomposition Ratio Based on Data Driven for Raw Meal Calcination Process

  2019cites this paper
• A Novel Density-Based Clustering Approach for Outlier Detection in High-Dimensional Data

  2019cites this paper
• A novel clustering algorithm based on the natural reverse nearest neighbor structure

  2019cites this paper
• Minimal weighted infrequent itemset mining-based outlier detection approach on uncertain data stream

  2018influential citation
• Relative Density-Based Outlier Detection Algorithm

  2018cites this paper
• An Outlier Detection Algorithm Based on Cross-Correlation Analysis for Time Series Dataset

  2018cites this paper
• A Network Anomaly Detection Algorithm based on Natural Neighborhood Graph

  2018cites this paper
• Parameter k search strategy in outlier detection

  2018cites this paper
• Abnormal Detecting over Data Stream Based on Maximal Pattern Mining Technology

  2018cites this paper
• Multi-class novelty detection in diagnostic trouble codes from repair shops

  2017cites this paper
• A STUDY ON DATA MINING BEHAVIOR, CHALLENGES AND METHODS

  2017cites this paper
• An efficient intrusion detection system based on hypergraph - Genetic algorithm for parameter optimization and feature selection in support vector machine

  2017cites this paper
• Landslide susceptibility classification using multi hive artificial bee colony programming: A novel symbolic regression framework

  year unknowncites this paper