Suchergebnisse - PI‐DBSCAN algorithm

HRRP multi‐target recognition in a beam using prior‐independent DBSCAN clustering algorithm.

Autoren: Guo, Peng‐cheng Liu, Zheng Wang, Jing‐jing

Quelle: IET Radar, Sonar & Navigation (Wiley-Blackwell); Aug2019, Vol. 13 Issue 8, p1366-1372, 7p

Schlagwörter: CLUSTERING algorithms, RADAR signal processing, RADAR targets, SUPPORT vector machines, RADAR, MONOPULSE radar

Discretization of Unlabeled Data using RST & Clustering.

Autoren: Singh, Girish Kumar Mandal, Shrabanti

Quelle: Journal of Informatics & Mathematical Sciences; 2019, Vol. 11 Issue 1, p31-40, 10p

Schlagwörter: ROUGH sets, DISCRETIZATION methods, DATABASES

UNADA: Unsupervised Network Anomaly Detection Using Sub-space Outliers Ranking.

Autoren: Casas, Pedro Mazel, Johan Owezarski, Philippe

Quelle: NETWORKING 2011: 10th International IFIP TC 6 Networking Conference, Valencia, Spain, May 9-13, 2011, Proceedings, Part I; 2011, p40-51, 12p

Unsupervised Network Anomaly Detection in Real-Time on Big Data.

Autoren: Dromard, Juliette Roudière, Gilles Owezarski, Philippe

Quelle: New Trends in Databases & Information Systems: ADBIS 2015 Short Papers & Workshops, BigDap, DCSA, GID, MEBIS, OAIS, SW4CH, WISARD, Poitiers, France, September 8-11, 2015. Proceedings; 2015, p197-206, 10p

Coping with 0-day attacks through Unsupervised Network Intrusion Detection.

Autoren: Casas, Pedro Mazel, Johan Owezarski, Philippe

Quelle: 2014 International Wireless Communications & Mobile Computing Conference (IWCMC); 2014, p24-29, 6p