Physical Sciences and Mathematics Commons^™

Interactive Focus+Context Glyph And Streamline Vector Visualization, Joshua Joseph Anghel

Boise State University Theses and Dissertations

With data sets growing in size, more efficient methods of visualizing and analyzing data are required. A user can become overwhelmed if too much data is displayed at once and be distracted from identifying potentially important features. This thesis presents methods for focus+context visualization of vector fields. Users can interact with the data in real time to choose which regions should have more emphasis through a mouse or touch interface. Streamlines and hedgehog based visualizations are used to provide focus+context to vector visualizations. The presented visualization methods are shown to be more computationally efficient and are shown to scale well …

Document Classification, Shane K. Panter

Boise State University Theses and Dissertations

We present an overview of the document classification process and present research conducted against the newly constructed SBIR-STTR corpus. Specifically, the current methods in use for annotation, corpus construction, feature construction, feature weighting, and classifier algorithms are surveyed. We introduce a new dataset derived from public data downloaded from sbir.gov and the Text Annotation Toolkit (TAT) ₁ for use in classification research.

TAT is a collection of independent components packaged together into one open source software application. TAT was engineered to support the document classification process and workflow. Tracking of changes in a working corpus, saving data used in the …

Novel Algorithms And Software For Biological Sequence Analysis, William Casey Bullock

Boise State University Theses and Dissertations

Bioinformatics is a broad realm of research in which Computer Science has much to offer. Collecting, sorting, and analyzing statistical information for DNA and protein sequences is difficult due to the sheer amount of available data. Tools have been created to do this, but they have generally been limited by speed or robustness.

In addition to analyzing the statistical properties of biological sequences, it is also important to model and understand their chemical and physical properties. A number of valuable software tools are available for modeling and predicting the properties of biological sequences in Computational Chemistry, including molecular docking, and …