Association rule mining is a technique that is widely used in data mining. This technique is
used to identify interesting relationships between sets of items in a dataset and predict …

Historical construction accident reports have been widely used to gain insights into the
primary causes of past incidents in construction. Previous studies have successfully …

Web Usage mining is a technique used to identify the user needs from the web log.
Discovering hidden patterns from the logs is an upcoming research area. Association rules …

The ability to search, process, extract, evaluate and integrate information for learning
purposes has clearly become the basic skills of the twenty first century. Although this …

Analyzing historical construction accident narratives is widely implemented by researchers
to understand critical causes of past accidents. Previous studies have identified accident …

Sequential Pattern Mining which aims to discover all frequent sequences of itemsets
(patterns) from a large data collection has been applied in the Text Mining domain such as …

Apriori algorithm usually generates a lot of candidate sets in data mining, and needs to
repeatedly scan all the data of the database. Making it in the implementation process …

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 …