Analyzing customer transactions to discover high-utility itemsets is a popular task, which
consists of finding the sets of items that are purchased together and yield a high profit …

In the field of data mining, high utility itemset mining (HUIM) is a relevant mining task, with
the aim of analyzing customer transaction databases. HUIM consists of exploiting the set of …

This two-volume set (LNAI 10448 and LNAI 10449) constitutes the refereed proceedings of
the 9th International Conference on Collective Intelligence, ICCCI 2017, held in Nicosia …

Among the useful tools for the retail stores to analyze their customer behaviors is through the
task of mining high-utility itemset (HUIM), which is to reveal the combinations of items which …

The goal of the high-utility itemset mining task is to discover combinations of items which that
yield high profits from transactional databases. HUIM is a useful tool for retail stores to …

One of the challenges of Sequential Pattern Mining is finding frequent sequential patterns in
a huge click stream data (web logs) since the data has the issue of a very low support …

Sequential rule mining is an important data mining technique that discovers relationships
between occurrences of sequential patterns. The main challenge is to avoid time …

On Internet, large quantity of documents are created and viewed by huge number of users.
Till now, most of the researcher's point of interest is topic modeling in document streams …

Web Usage Mining is a research area that manipulates users' click stream data in order to
identify interesting traversal patterns of visitors accessing the website. As the clickstream …