Learn about k-grams and set similarities in this university lecture that covers fundamental data mining concepts. Begin with a review of previous material and course logistics before diving into the main topics. Explore the motivation behind k-grams and their applications, followed by a detailed explanation of set similarities. Master the Jaccard similarity measure through practical examples and reinforce your understanding with hands-on exercises. The lecture provides clear explanations of these essential data mining techniques used for text analysis and document comparison.
Data Mining: K-grams and Jaccard Similarity - Spring 2023
Overview
Syllabus
Recording starts
Lecture starts
Drop/Withdrawal policy
Changes to the syllabus
Clarification of Lecture 2
Announcements
New lecture starts motivation
k-grams
Set similarities
Jaccard similarity example
Exercise
Taught by
UofU Data Science
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