Providing privacy protection for classification algorithms has become a research hotspot in current data mining. In this paper, differential privacy is applied to the random forest classification ...

A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle ...

Molecular glues, tiny molecules that connect one protein to another, are promising targets for pharmaceutical research. By ...

Owkin has partnered 20 healthcare institutions on a patient data mining project, ATLANTIS, across oncology, immunology/inflammation, and neurology.

His academic work focuses on numerical linear algebra, streaming algorithms, data mining, and mathematical foundations of machine learning.

Partial periodic-frequent pattern mining is a critical technique in the data mining field. This technique finds all frequent patterns demonstrating partial periodicity within temporal datasets.

Understanding the differences between business intelligence, artificial intelligence, and data analytics can be a challenge to many people. For many business processes, there seems to be so much ...

When a person searches Google, they will see star ratings in the results. Google uses an algorithm and an average to determine how many stars are displayed on different review properties.