Abstract: Frequent itemset mining (FIM ... this paper proposes a novel prefix-based algorithm PSI* to mine skyline frequent-utility itemsets on massive data. PSI* divides the huge database by ...

Once the data is prepared, it is ready to be mined. Computer applications with data mining algorithms are most frequently used to perform data mining. From there, the results are often translated ...

announced it has entered into a preliminary agreement with Cipher Mining Inc. (NASDAQ:CIFR) ("Cipher") to enter into a power supply agreement to power a Cipher data center in Texas. Once executed ...

Artificial intelligence specialist Owkin has added another piece to its medical research portfolio with the launch of ATLANTIS, a patient data mining programme, in partnership with 20 leading ...

Conrad built her company to help those companies improve operations and understand their data using an easy-to-use dashboard. Mining and drilling are key industries in Alberta, and Conrad is ...

Computers, however, sift through this data more quickly and efficiently than humans, and they can operate 24/7/365 without taking a break. As machine learning algorithms and other forms of AI ...

They supplied the model with data from the UK Biobank, and then tested its predictive value to determine if it identified the individuals who were at risk of coronary artery disease within ten years.

The concept of association rules in terms of basic algorithms, parallel and distributive algorithms and advanced measures that help determine the value of association rules are discussed. The final ...