SUPPLIER
Product overview: 

Miner3D Basic - powerful data visualisation software for making interactive charts and graphic reports.

Miner3D Professional - advanced visual data analytics for professional needs. Powerful user interface with Dynamic Filter for interactive data querying and with visual implementation of Principal Component Analysis (PCA).

Miner3D Enterprise - a complete set of methods and features enabled. Full database (SQL) and data warehouse (OLAP) connectivity, K-means Clustering and Kohonen Self-organizing maps.

Miner3D Infinity - a high-end 64bit version breaks barriers of in-memory data analysis allowing users to fully deploy power of most modern computers. Miner3D Infinity is power enough to handle 8TB in-memory data and is primarily purposed for the most challenging data analysis applications.

Miner3D Developer – integrate visual data mining and content intelligence with your own projects. Miner3D complete functionality is available through a set of Automation, ActiveX and COM interfaces and supports several development platforms like Visual Basic, Visual C/C++, C# (C-sharp), JavaScript, VBScript and more.

Company overview: 

Miner3D is the leading innovator of data visualisation and visual data mining software. We strive to deliver creative and easy-to-use data analytics software products for business intelligence and for scientific research.

Distributors: 
Phone: 
+1 (302) 213-0121
Address: 

113 Barksdale Professional Center
Newark DE 19711USA

Feature

Building a Smart Laboratory 2018 highlights the importance of adopting smart laboratory technology, as well as pointing out the challenges and pitfalls of the process

Feature

Informatics experts share their experiences on the implementing new technologies and manging change in the modern laboratory

Feature

This chapter will consider the different classes of instruments and computerised instrument systems to be found in laboratories and the role they play in computerised experiments and sample processing – and the steady progress towards all-electronic laboratories.

Feature

This chapter considers how the smart laboratory contributes to the requirements of a knowledge eco-system, and the practical consequences of joined-up science. Knowledge management describes the processes that bring people and information together to address the acquisition, processing, storage, use, and re-use of knowledge to develop understanding and to create value

Feature

This chapter takes the theme of knowledge management beyond document handling into the analysis and mining of data. Technology by itself is not enough – laboratory staff need to understand the output from the data analysis tools – and so data analytics must be considered holistically, starting with the design of the experiment