The main purpose of data mining and analytics is to find novel, potentially useful patterns
that can be utilized in real-world applications to derive beneficial knowledge. For identifying …

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 …

The set of frequent closed itemsets uniquely determines the exact frequency of all itemsets,
yet it can be orders of magnitude smaller than the set of all frequent itemsets. In this paper …

A number of vertical mining algorithms have been proposed recently for association mining,
which have shown to be very effective and usually outperform horizontal approaches. The …

Abstract Weak isosinglet Neutral Heavy Leptons (vm) have been searched for using data
collected by the DELPHI detector corresponding to 3.3× 10 6 hadronic Z 0 decays at LEP1 …

Efficient algorithms for mining frequent itemsets are crucial for mining association rules as
well as for many other data mining tasks. Methods for mining frequent itemsets have been …

Efficient algorithms for mining frequent itemsets are crucial for mining association rules.
Methods for mining frequent itemsets and for iceberg data cube computation have been …

The set of frequent closed itemsets uniquely determines the exact frequency of all itemsets,
yet it can be orders of magnitude smaller than the set of all frequent itemsets. In this paper …

This paper considers the problem of mining closed frequent itemsets over a sliding window
using limited memory space. We design a synopsis data structure to monitor transactions in …

One fundamental challenge for mining recurring subgraphs from semi-structured data sets is
the overwhelming abundance of such patterns. In large graph databases, the total number of …