Kaoutar El Maghraoui, Gokul Kandiraju, et al.
WOSP/SIPEW 2010
In recent years, a number of indirect data collection methodologies have led to the proliferation of uncertain data. Such databases are much more complex because of the additional challenges of representing the probabilistic information. In this paper, we provide a survey of uncertain data mining and management applications. We will explore the various models utilized for uncertain data representation. In the field of uncertain data management, we will examine traditional database management methods such as join processing, query processing, selectivity estimation, OLAP queries, and indexing. In the field of uncertain data mining, we will examine traditional mining problems such as frequent pattern mining, outlier detection, classification, and clustering. We discuss different methodologies to process and mine uncertain data in a variety of forms. © 2006 IEEE.
Kaoutar El Maghraoui, Gokul Kandiraju, et al.
WOSP/SIPEW 2010
Rajiv Ramaswami, Kumar N. Sivarajan
IEEE/ACM Transactions on Networking
Rajeev Gupta, Shourya Roy, et al.
ICAC 2006
Elizabeth A. Sholler, Frederick M. Meyer, et al.
SPIE AeroSense 1997