Now showing items 1-4 of 4
Toward accurate and efficient outlier detection in high dimensional and large data sets
(Georgia Institute of Technology, 2010-04-22)
An efficient method to compute local density-based outliers in high dimensional data was proposed. In our work, we have shown that this type of outlier is present even in any subset of the dataset. This property is used ...
Image mining methodologies for content based retrieval
(Georgia Institute of Technology, 2010-04-08)
The thesis presents a system for content based image retrieval and mining. The research presents a design of a scalable solution for efficient retrieval of images from large image databases using image features such as ...
Measurement and resource allocation problems in data streaming systems
(Georgia Institute of Technology, 2010-04-26)
In a data streaming system, each component consumes one or several streams of data on the fly and produces one or several streams of data for other components. The entire Internet can be viewed as a giant data streaming ...
Algorithm design on multicore processors for massive-data analysis
(Georgia Institute of Technology, 2010-06-28)
Analyzing massive-data sets and streams is computationally very challenging. Data sets in systems biology, network analysis and security use network abstraction to construct large-scale graphs. Graph algorithms such as ...