Abstract: The large-scale, high-dimensionality of datasets poses major obstacles to effective and precise data clustering in the field of big data analytics. This work focuses on a well-known ...

Peer ReviewDownload a summary of the editorial decision process including editorial decision letters, reviewer comments and author responses to feedback. Generating longitudinal and multi-layered big ...

The One Big Beautiful Bill Act that Congress passed earlier this month made anxiously anticipated changes to federal provisions with big implications for commercial real estate, and investors are ...

We have covered Jim Cramer for almost 20 years here at 24/7 Wall St., and like all opinionated Wall Street stock pundit pickers, he has had more than his fair share of home runs and some swings and ...

It's not just the spending that will be big. Meta's Mark Zuckerberg envisions a single data center, the footprint of which would occupy as much acreage as a good chunk of Manhattan. Corin Cesaric is a ...

Days after President Donald Trump took office again in January, thousands of government pages with critical data were taken down as agencies rushed to comply with executive orders targeting diversity, ...

HypeFCM is a fuzzy clustering algorithm for non-Euclidean spaces, combining hyperbolic geometry with adaptive weight-based filtering in the Poincaré Disc model. It efficiently captures hierarchical ...

In sum – what you need to know: NTT DATA to invest $1.2 billion in AI cluster – The Japanese firm, along with Neysa Networks and the Telangana government, will build a 400 MW AI data center campus in ...

Abstract: The emergence of big data has completely changed the way data analysis is done. As a result, there is a pressing need for effective clustering algorithms that can handle large datasets from ...

In a previous Need to Know article, we examined TV media buying and how it needs to evolve to meet the demands of today’s highly fragmented TV ecosystem. The playing field is changing rapidly, and ...