Automated generation of insights for events of interest

A computer-implemented method for automated generation of insights based on events of interest, the method comprising:

• receiving a dataset for an event of interest, wherein the dataset represents plurality of occurrences of events comprising data corresponding to features;
• determining plurality of event frame sizes to generate insights on the dataset;
• extracting features from the plurality of occurrences of events corresponding to the plurality of event frame sizes, wherein the extracted features are represented as feature abbreviations corresponding to a context;
• identifying feature abbreviations with high frequency of occurrence;
• generating rules based on the identified feature abbreviations;
• associating weights variably to the feature abbreviations, wherein the association of weights is based on frequency of occurrence of feature abbreviations in the rules;
• and
• displaying the features corresponding to feature abbreviations with high weights as insights on the dataset, wherein the displayed features correspond to a high probability of occurrence of the event of interest.

A computer system for automated generation of insights based on events of interest, comprising:

• a computer memory to store program code;
• and
• a processor to execute the program code to:
• receive a dataset for an event of interest, wherein the dataset represents plurality of occurrences of events comprising data corresponding to features;
• determine plurality of event frame sizes to generate insights on the dataset;
• extract features from the plurality of occurrences of events corresponding to the plurality of event frame sizes, wherein the extracted features are represented as feature abbreviations corresponding to a context;
• identify feature abbreviations with high frequency of occurrence;
• generate rules based on the identified feature abbreviations;
• associate weights variably to the feature abbreviations, wherein the association of weights is based on frequency of occurrence of feature abbreviations in the rules;
• and
• display the features corresponding to feature abbreviations with high weights as insights on the dataset, wherein the displayed features correspond to a high probability of occurrence of the event of interest.