This concentration prepares students to utilize collected data to make predictions and discern in them patterns of objects being observed. Statistical analyses, along with forecasting and data mining ...

1. Can existing data and infrastructure support the proposed data-mining tool? Some solutions will require a separate server for analysis, which could increase the expenditure by adding server ...

In 2020, people as a whole generated 2.5 quintillion data bytes every day. While not all of those are collected by businesses, a large portion of them are, leaving an insane amount of data that ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Newer AI techniques and data mining, which traditionally use machine learning, together can ...

Yingjie Hu is an expert on geographic information science (GIScience) and data mining, including the use of artificial intelligence. His research uses machine learning and natural language processing ...

The U.K. is planning to tweak an existing law to allow text and data mining “for any purpose,” in a move that’s designed to boost artificial intelligence (AI) development across the country. Text and ...

Because data is stored in tools in different formats, cross-tool metrics require data normalization to make sense of it all. Moreover, unique (and unpublished) database schemas per tool require ...

Canada’s fragmented approach to mining assessments has left regulators, communities and industry working with incomplete ...

Learn the key differences between relational and NoSQL databases with this in-depth comparison. There’s nothing wrong with the traditional relational database management system. In fact, many NoSQL ...