Predictive analytics, pattern recognition, and classification problems are not new. Long used in the financial services and insurance industries, predictive analytics is about using statistics, data ...

Discover innovative strategies for smart operations in global risk management. Learn how to navigate complex global ...

Industrial companies are sitting on a predictive maintenance goldmine worth hundreds of millions in potential savings, yet ...

This TDWI Best Practices Report identifies current challenges organizations are facing with data strategy and management, as well as shared modernization priorities for achieving data-driven business ...

The investing world has a significant problem when it comes to data about small and medium-sized enterprises (SMEs). This has nothing to do with data quality or accuracy — it’s the lack of any data at ...

Budoen, A. , Zhang, M. and Jr., L. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, 1-22. doi: ...

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 ...

Big data is transforming this approach by providing healthcare organisations with a deeper understanding of patient preferences, behaviours, and motivations. By leveraging predictive analytics ...

In traditional mining algorithms, data are centralized and memory-resident. As a result of the large amount of data, bandwidth limitation, and energy limitations when applying these methods to ...

Abstract: Due to the large amounts of Multimedia data on the Internet, Multimedia mining has become a very active area of research. Multimedia mining is a form of data mining. Data mining uses ...

H100 Group receives investment from Adam Back of SEK 21 million, with the option to expand his investment to SEK 277 million through a five-tranche convertible loan deal.