In an era dominated by social media, misinformation has become an all too familiar foe, infiltrating our feeds and sowing seeds of doubt and confusion. With more than half of social media users across ...

Abstract: Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. To this end, this paper has three main contributions.

Three new books warn against turning into the person the algorithm thinks you are. Like a lot of Netflix subscribers, I find that my personal feed tends to be hit or miss. Usually more miss. The ...

Companies, nonprofit organizations, and governments design algorithms to learn and predict user preferences. They embed these algorithms in recommendation systems that help consumers make choices ...

I’ve been losing a lot of time to YouTube lately. I don’t even know why. In a down moment, I just find myself heading to the homepage and watching whatever comes up (usually weird Tears of the Kingdom ...

People’s daily interactions with online algorithms affect how they learn from others, with negative consequences including social misperceptions, conflict, and the spread of misinformation, my ...

William Brady does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

Abstract: CLARANS is an efficient and effective clustering method especially in spatial data mining. It is applicable to locate objects with polygon shape. Inspired by its randomized searching nature, ...