Now showing items 1-5 of 5
Toward Autonomic Data-Oriented Scalability in Cloud Computing Environments
The applications deployed in modern data centers are highly diverse in terms of architecture and performance needs. It is a challenge to provide consistent services to all applications in a shared environment. This thesis ...
Integrating Classification With K-Means to Detect E-Commerce Transaction Anomaly
Effective data mining solutions have been anticipated in Electronic Commerce (E-Commerce) transaction anomaly detection model to accurately predict anomaly transaction records. However, there are many sub-optimal E-Commerce ...
An Initial Analysis on the Impact of Software Transparency and Privacy on a Healthcare Environment
Transparency and privacy are two fundamental parts of any democratic society. Although both transparency and privacy are essential in todays environment they are often conflicting. Allowing more transparency is likely to ...
Improvement in Probabilistic Information Retrieval Model: Rewarding Terms with High Relative Term Frequency
In this thesis, I propose the relative term frequency to be integrated into traditional probabilistic models, in other words, I introduce a set of three influence functions with the application of relative term frequency ...
Exploiting semantics for improving clinical information retrieval
Clinical information retrieval (IR) presents several challenges including terminology mismatch and granularity mismatch. One of the main objectives in clinical IR is to fill the semantic gap among the queries and documents ...