May 13, Wednesday
12:00 – 13:30
Mining Frequent Patterns: Algorithms, Taxonomy, Closures and more
Graduate seminar
Lecturer : Yaron Gonen
Location : 201/37
Frequent patterns are patterns that appear in a data set frequently. For example, a set of items, such as milk and bread, that appear together frequently in a transaction data set of shopping carts is a frequent itemset. Finding such patterns plays an essential role in mining correlations and other interesting relationships among data. Thus this topic has become an important data mining task and a focused theme in data mining research.
The task of finding frequent patterns holds many challenges, such as huge data sets to mine and combinatorial number of frequent patterns to find.
The two leading algorithms will be presented in our talk together with some other advanced issues such as mining frequent closed and maximal patterns, using generalizations to get interesting patterns, and more.