Along with the rapid development of infrastructure worldwide, traditional manual operations
have been a concern that restricts the high efficiency, safety, and quality of construction …

Market basket prediction, which is the basis of product recommendation systems, is the
concept of predicting what customers will buy in the next shopping basket based on analysis …

Frequent-regular pattern mining has attracted recently many works. Most of the approaches
focus on discovering a complete set of patterns under the user-given support and regularity …

Mining medical datasets is a challenging problem before data mining researchers as these
datasets have several hidden challenges compared to conventional datasets. Starting from …

Most of the periodic pattern mining algorithms extract fully periodic patterns by strictly
monitoring the cyclic behaviour of patterns in transactional as well as temporal databases …

High utility itemset mining (HUIM) plays an important role in the data mining community and
in a wide range of applications. For example, in retail business it is used for finding sets of …

In recent decades, low-and middle-income nations have accounted for at least three-
quarters of all cardiovascular disease (CVD) deaths worldwide. Multiple cardiovascular …

Mining medical datasets is a challenging problem before data mining researchers as these
datasets have several hidden challenges compared to conventional datasets. Starting from …

A considerable fraction of the female workforce worldwide is making ends meet by doing
various jobs informally at home or in nearby places, rather than at employers' premises. The …

In recent years, discovering interesting periodic frequent patterns from transactional
databases has become an attractive task for many researchers. It consists in finding patterns …