Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Entire DC Network
Learning Techniques For Information Retrieval And Mining In High-Dimensional Databases, Hao Cheng
Learning Techniques For Information Retrieval And Mining In High-Dimensional Databases, Hao Cheng
Electronic Theses and Dissertations
The main focus of my research is to design effective learning techniques for information retrieval and mining in high-dimensional databases. There are two main aspects in the retrieval and mining research: accuracy and efficiency. The accuracy problem is how to return results which can better match the ground truth, and the efficiency problem is how to evaluate users' requests and execute learning algorithms as fast as possible. However, these problems are non-trivial because of the complexity of the high-level semantic concepts, the heterogeneous natures of the feature space, the high dimensionality of data representations and the size of the databases. …
Partitioning A Graph In Alliances And Its Application To Data Clustering, Khurram Hassan-Shafique
Partitioning A Graph In Alliances And Its Application To Data Clustering, Khurram Hassan-Shafique
Electronic Theses and Dissertations
Any reasonably large group of individuals, families, states, and parties exhibits the phenomenon of subgroup formations within the group such that the members of each group have a strong connection or bonding between each other. The reasons of the formation of these subgroups that we call alliances differ in different situations, such as, kinship and friendship (in the case of individuals), common economic interests (for both individuals and states), common political interests, and geographical proximity. This structure of alliances is not only prevalent in social networks, but it is also an important characteristic of similarity networks of natural and unnatural …