Patterns and Statistical Differences Between Two Groups of Strings
Discovers common patterns in a group of strings - simplified version
Discovers common patterns in a group of strings - full version
Removes successive duplicates in strings
Converts sequence of event names to a string
Converts sequences of event names to strings - same length
Converts sequences of event names to strings - generalized
Discovers featured patterns in two groups of strings
Patterns and Statistical Differences Between Two Groups of Strings
Customizes the positions of legend and p value in a histogram
Discovers pattern information in one group of strings
Statistically compares the difference between two groups of strings
Hierarchical cluster of a group of strings
K-means clustering of a group of strings
Transition entropy of a group of strings
Transition entropy of each string in a group
Transitions in one group of strings
Transition matrices in one group of strings
Methods include converting series of event names to strings, finding common patterns in a group of strings, discovering featured patterns when comparing two groups of strings as well as the number and starting position of each pattern in each string, obtaining transition matrix, computing transition entropy, statistically comparing the difference between two groups of strings, and clustering string groups. Event names can be any action names or labels such as events in log files or areas of interest (AOIs) in eye tracking research.