Abstract The High Average Utility Itemset Mining (HAUIM) technique, a variation of High
Utility Itemset Mining (HUIM), uses the average utility of the itemsets. Historically, most …

To effectively predict stock price for investors is a very important research problem. In
literature, data mining techniques have been applied to stock (market) prediction. Feature …

Despite the tremendous efforts by social media platforms and fact-check services for fake
news detection, fake news and misinformation still spread wildly on social media platforms …

As data volumes continue to rise, manual inspection is becoming increasingly untenable. In
response, we present MacroBase, a data analytics engine that prioritizes end-user attention …

Streaming data are present all around us. From traditional radio systems streaming audio to
today's connected end-user devices constantly sending information or accessing services …

E-commerce is snowballing with advancements in technology, and as a result,
understanding complex transactional data has become increasingly important. To keep …

Frequent pattern mining has become very useful and interesting to researchers due to its
high applicability. Different real-life databases (eg, sensor network, medical diagnosis data) …

As data have been accumulated more quickly in recent years, corresponding databases
have also become huger, and thus, general frequent pattern mining methods have been …

Human behaviors are complex, which are often observed as a sequence of heterogeneous
actions. In this paper, we take user choices for shopping baskets as a typical case to study …

Regular pattern mining has been emerged as one of the promising sub-domains of data
mining by discovering patterns with regular occurrences throughout a complete database. In …