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SSD
2007
Springer
131views Database» more  SSD 2007»
13 years 10 months ago
Efficiently Mining Regional Outliers in Spatial Data
With the increasing availability of spatial data in many applications, spatial clustering and outlier detection has received a lot of attention in the database and data mining comm...
Richard Frank, Wen Jin, Martin Ester
KDD
2007
ACM
220views Data Mining» more  KDD 2007»
14 years 5 months ago
SCAN: a structural clustering algorithm for networks
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J...
MOBIHOC
2007
ACM
14 years 4 months ago
Outlier detection in sensor networks
Outlier detection has many important applications in sensor networks, e.g., abnormal event detection, animal behavior change, etc. It is a difficult problem since global informati...
Bo Sheng, Qun Li, Weizhen Mao, Wen Jin
COLCOM
2008
IEEE
13 years 11 months ago
Security through Collaboration in MANETs
It is well understood that Mobile Ad Hoc Networks (MANETs) are extremely susceptible to a variety of attacks, and traditional security mechanisms do not work well. Many security sc...
Wenjia Li, James Parker, Anupam Joshi
IJCNN
2006
IEEE
13 years 10 months ago
Prototype based outlier detection
— Outliers refer to “minority” data that are different from most other data. They usually disturb data mining process. But, sometimes they provide valuable information. Thus,...
Seungtaek Kim, Sungzoon Cho