Data mining techniques plays a vital role like extraction of required knowledge, finding useful information to make strategic decision in a novel way which in term understandable by domain experts.

Did you recently read an article, report, or scientific paper and think, ‘I wish there was a picture or diagram showing this information, instead of a lengthy description’? Written text is often full ...

Data visualization may not deliver revelation on demand, but diligent visual exploration can unlock insights that might otherwise remain hidden Data visualization is one of the hottest areas of big ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Imagine tapping into a raw data feed from a distributed network of IoT devices in a logistics center. The center is full of robots, employee work stations, and shipping and receiving docks. The data ...

Forbes contributors publish independent expert analyses and insights. I write about digital marketing, data and privacy concerns. Any great story means visualization and detail. It takes the small ...

Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .

The book, Data Mining with Decision Trees: Theory and Applications, was written by Lior Rokach (Ben-Gurion University of the Negev, Israel) and Oded Maimon (Tel-Aviv University, Israel). It describes ...

Data mining is a buzz term that many people have heard in recent months or years. However, this tool for understanding the world that we live in remains underappreciated and generally misunderstood by ...

The second step in data mining process is the application of various modeling techniques. These are used to calibrate the parameters to optimal values. Techniques employed largely depend on analytic ...