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Graduate Program in Information Systems
PPgSI6th Psis Dissertations Workshop
2019
Interactive Trace ClusteringAuthor:Thais Rodrigues NeubauerAdvisor:Sarajevo Marques Pairs, Dr. Coadvisor:Marcelo Santiago,
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How to fill out interactive trace clustering
How to fill out interactive trace clustering
01
Open the interactive trace clustering tool
02
Upload the trace data that you want to analyze
03
Select the parameters for clustering
04
Run the clustering algorithm
05
Explore the clusters and analyze the results
Who needs interactive trace clustering?
01
Data scientists looking to identify patterns in their trace data
02
Researchers studying behavior in large datasets
03
Companies analyzing user interactions for optimization
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What is interactive trace clustering?
Interactive trace clustering is a method used to group and analyze related traces of data in real-time to identify patterns or anomalies.
Who is required to file interactive trace clustering?
Organizations or individuals who want to analyze and interpret large amounts of trace data may use interactive trace clustering.
How to fill out interactive trace clustering?
To fill out interactive trace clustering, users can use specialized software tools that allow them to interactively group and visualize trace data.
What is the purpose of interactive trace clustering?
The purpose of interactive trace clustering is to help users understand complex trace data by identifying similarities and differences among traces.
What information must be reported on interactive trace clustering?
The information reported on interactive trace clustering typically includes trace data sets, cluster labels, and visualization of cluster results.
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