Abstract: Data stream mining is a research area that has grown enormously in recent years. The main challenge is extracting knowledge in real-time from a possibly unbounded data stream. Clustering, a ...

These notes can be used to find top patterns for each category. Note that reading these notes can be much faster than watching videos. Moreover, it can take only take an evening to refresh your ...

The library sorting problem is used across computer science for organizing far more than just books. A new solution is less than a page-width away from the theoretical ideal. Computer scientists often ...

There is an increasing concern about the influence algorithms exert in modern societies and the potential threats they pose to democracy. Some algorithms are considered as of high risk, as they have ...

The original version of this story appeared in Quanta Magazine. If you’ve been making the same commute for a long time, you’ve probably settled on what seems like the best route. But “best” is a ...

Data structures and algorithms are crucial for efficient problem-solving in computer science, enabling effective data organization and manipulation for fast, reliable software. Learning them enhances ...

A new deep learning algorithm can predict the structure of proteins bound to a variety of other molecules such as drugs, fluorophores and metals. The work, which allowed researchers to design proteins ...

A periodic feature by Cornerstone Research, in which our affiliated experts, senior advisors, and professionals, talk about their research and findings. We interview Professor Ben Handel of the ...

Studies of diversity in academic publishing arrive regularly in the scientific literature. But where do the data come from? Publications don’t usually include demographic data such as the gender, race ...