Communications of the ACM - Special issue on parallelism
Robust regression and outlier detection
Robust regression and outlier detection
Relational interpretations of neighborhood operators and rough set approximation operators
Information Sciences—Informatics and Computer Science: An International Journal
Neighborhood systems and relational databases
CSC '88 Proceedings of the 1988 ACM sixteenth annual conference on Computer science
ACM Computing Surveys (CSUR)
LOF: identifying density-based local outliers
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Efficient algorithms for mining outliers from large data sets
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Outlier detection for high dimensional data
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Rough set methods in feature selection and recognition
Pattern Recognition Letters - Special issue: Rough sets, pattern recognition and data mining
Fast Outlier Detection in High Dimensional Spaces
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Algorithms for Mining Distance-Based Outliers in Large Datasets
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Finding Intensional Knowledge of Distance-Based Outliers
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Outlier Detection Using Replicator Neural Networks
DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery
Distance-based outliers: algorithms and applications
The VLDB Journal — The International Journal on Very Large Data Bases
A Comparative Study of RNN for Outlier Detection in Data Mining
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Semantics-Preserving Dimensionality Reduction: Rough and Fuzzy-Rough-Based Approaches
IEEE Transactions on Knowledge and Data Engineering
Information-preserving hybrid data reduction based on fuzzy-rough techniques
Pattern Recognition Letters
Some issues about outlier detection in rough set theory
Expert Systems with Applications: An International Journal
An optimization model for outlier detection in categorical data
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
A hybrid approach to outlier detection based on boundary region
Pattern Recognition Letters
| Hi-index | 12.05 |
KNN (k nearest neighbor) is widely discussed and applied in pattern recognition and data mining, however, as a similar outlier detection method using local information for mining a new outlier, neighborhood outlier detection, few literatures are reported on. In this paper, we introduce neighborhood model as a uniform framework to understand and implement neighborhood outlier detection. Furthermore, a neighborhood-based outlier detection algorithm is also given. This algorithm integrates rough set granular technique with outlier detecting. We propose a neighborhood-based metric on outlier detection, and compare neighborhood outlier detection with DIS, KNN and RNN. The experimental results show that neighborhood-based metric is able to measure the local information for outlier detection. The detected accuracies based on neighborhood outlier detection are superior to DIS, KNN for mixed dataset, and a litter better than RNN for discrete dataset.