This research aims at proposing a new method for discovering frequent temporal itemsets in continuous subsets of a dataset with quantitative transactions. It is important to note that although these temporal itemsets may have relatively high textit{support} or occurrence within particular time intervals, they do not necessarily get similar textit{support} across the whole dataset, which makes i...

Analyzing data for support of diagnostic tasks in dynamic domains, such as medicine, plant pathology, or information and communication technology security, requires an explicit representation and consideration of the temporal semantics of the data. However, discovering temporal knowledge is a challenging task. Temporal abstraction is a common task, based on temporalion is a common task, based o...

Data with temporal information is constantly generated, sampled, gathered, and analyzed in different domains, such as medicine, finance, engineering, environmental sciences, and earth sciences. Temporal Web mining extends temporal data mining and Web mining, and concerns the Web mining of data with significant temporal information. Its main goal is to query local and Web data in real time, anal...