Companies use data mining software to learn more about their customers. It can help them to develop more effective marketing strategies, increase sales, and decrease costs. Data mining relies on ...

data mining techniques were used long before that. As the quality and complexity of data increased, software applications were used for data mining. Its potential continues to increase with ...

In this buyers’ guide, learn about the best data mining tools and software on the market today, their pros and cons, and how your data team can select the best solution for your particular data ...

The Cross-Industry Standard Process for Data Mining, better known as CRISP-DM, has been around for more than a decade, and it’s by far the most widely-used analytics process standard.

Data mining software used by both US intelligence agencies and large corporations just got an upgrade. Franklin, Tenn.-based Digital Reasoning — a cognitive computing developer that has contracts with ...

As ABBYY defines it, “process mining is an approach to process improvement that’s driven by advanced data analytics. Process mining software uses process event log data to discover and map process ...

Tagging data is a necessary first step to data mining because it enables analysts (or the software they use) to classify and organize the information so it can be searched and processed.

Data analytics relies on a variety of software tools including spreadsheets, data visualization, reporting tools, data mining programs, and open-source languages. Data analytics can be ...

But an Atlanta-based security company that specializes in detecting bots has developed software that can detect those screen-scraping and data-mining bots. Pramana's main product, HumanPresent ...

Retail automotive advisory firm Dave Cantin Group has launched an AI-powered data-mining software designed to provide data-driven valuations for U.S. new-car dealerships, regardless of brand ...