A New Tool for Visualizing Categorical Time Series Data
Location
Room 232, Schewel Hall
Access Type
Campus Access Only
Presentation Type
Oral presentation
Entry Number
2414
Start Date
4-16-2025 10:45 AM
End Date
4-16-2025 11:00 AM
School
School of Liberal Arts and Sciences
Abstract
It is often necessary to analyze a sequence of non-numeric data in which each item in the sequence belongs to a predetermined category. A sequence of coin flips is an example. We have two categories – heads and tails. Each element in the sequence is either a head or a tail. Similarly, a book can be analyzed as a sequence of letters or words, a genetic sequence can be analyzed as a sequence of amino acids. Such data sets are often referred to as categorical time series data. We will demonstrate and describe the development of a tool for producing visualizations of categorical time series data. We will also describe some of the algorithms used to produce these visualizations and some optimizations developed to accommodate large datasets.
Primary Faculty Mentor(s)
Dr. Randy Ribler
Primary Faculty Mentor(s) Department
Computer Science
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A New Tool for Visualizing Categorical Time Series Data
Room 232, Schewel Hall
It is often necessary to analyze a sequence of non-numeric data in which each item in the sequence belongs to a predetermined category. A sequence of coin flips is an example. We have two categories – heads and tails. Each element in the sequence is either a head or a tail. Similarly, a book can be analyzed as a sequence of letters or words, a genetic sequence can be analyzed as a sequence of amino acids. Such data sets are often referred to as categorical time series data. We will demonstrate and describe the development of a tool for producing visualizations of categorical time series data. We will also describe some of the algorithms used to produce these visualizations and some optimizations developed to accommodate large datasets.