Frequent item set mining is one of the best known and most popular data mining methods.
Originally developed for market basket analysis, it is used nowadays for almost any task that …

From the past decade, data mining is becoming more important and tremendous amount of
work is being explored in the healthcare industry, where most of the applications are …

Probabilistic frequent itemset mining in uncertain transaction databases semantically and
computationally differs from traditional techniques applied to standard" certain" transaction …

Many frequent pattern mining algorithms find patterns from traditional transaction databases,
in which the content of each transaction—namely, items—is definitely known and precise …

Frequent weighted itemsets represent correlations frequently holding in data in which items
may weight differently. However, in some contexts, eg, when the need is to minimize a …

In recent years, anonymization methods have emerged as an important tool to preserve
individual privacy when releasing privacy sensitive data sets. This interest in anonymization …

The concept of uncertain pattern mining was recently proposed to fulfill the demand for
processing databases with uncertain data, and various relevant methods have been …

Frequent itemset mining plays an essential role in the mining of various patterns and is in
demand in many real-life applications. Hence, mining of frequent itemsets has been the …

In recent years, the advent of latest web and data technologies has encouraged massive
data growth in almost every sector. Businesses and leading industries are viewing these …

In the past, many algorithms have been proposed to mine frequent itemsets from
transactional databases, in which the presence or absence of items in transactions was …