Temporal sequence learning and data reduction for anomaly detection
ACM Transactions on Information and System Security (TISSEC)
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 Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
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
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
Peculiarity Oriented Multidatabase Mining
IEEE Transactions on Knowledge and Data Engineering
Interestingness, Peculiarity, and Multi-database Mining
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
A systematic study on attribute reduction with rough sets based on general binary relations
Information Sciences: an International Journal
Converse approximation and rule extraction from decision tables in rough set theory
Computers & Mathematics with Applications
Control approach to rough set reduction
Computers & Mathematics with Applications
Outlier Detection Based on Granular Computing
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Some issues about outlier detection in rough set theory
Expert Systems with Applications: An International Journal
Relative reducts in consistent and inconsistent decision tables of the Pawlak rough set model
Information Sciences: an International Journal
Neighborhood outlier detection
Expert Systems with Applications: An International Journal
Data compression with homomorphism in covering information systems
International Journal of Approximate Reasoning
Outlier detection using rough set theory
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
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
| Hi-index | 0.10 |
In recent years, much attention has been given to the problem of outlier detection, whose aim is to detect outliers - objects who behave in an unexpected way or have abnormal properties. The identification of outliers is important for many applications such as intrusion detection, credit card fraud, criminal activities in electronic commerce, medical diagnosis and anti-terrorism, etc. In this paper, we propose a hybrid approach to outlier detection, which combines the opinions from boundary-based and distance-based methods for outlier detection (Jiang et al., 2005, 2009; Knorr and Ng, 1998). We give a novel definition of outliers -BD (boundary and distance)-based outliers, by virtue of the notion of boundary region in rough set theory and the definitions of distance-based outliers. An algorithm to find such outliers is also given. And the effectiveness of our method for outlier detection is demonstrated on two publicly available databases.