Next generation data mining algorithms

NAG’s Data Mining and Cleaning Components (DMC) 2.0 is a data mining application development toolkit that uses results from a three-year European Union funded project—EUREDIT—as well as other advances in data mining techniques developed by the Numerical Algorithms Group, a global collaborative network of 300+ computer scientists and mathematical experts who work together to solve complex mathematical problems.

10/14/2004


NAG’s Data Mining and Cleaning Components (DMC) 2.0 is an application development toolkit that uses results from a three-year European Union funded project—EUREDIT—as well as other advances in data mining techniques developed by the Numerical Algorithms Group, a global collaborative network of 300+ computer scientists and mathematical experts who work together to solve complex mathematical problems.

DMC 2.0 capabilities include:

  • Enhanced data cleaning to resolve the problems of missing, invalid or incomplete data (data imputation methods);

  • Advances in outlier identification to determine which datasets are suitable for analysis;

  • Memory-efficient multivariate statistical methods that have been the traditional core of data mining techniques; and

  • A range of added functionality for machine learning and pattern recognition.

Click here for more information about DMC 2.0 functionality .

—David Greenfield, editorial director, Control Engineering, dgreenfield@reedbusiness.com





No comments
The Engineers' Choice Awards highlight some of the best new control, instrumentation and automation products as chosen by...
The System Integrator Giants program lists the top 100 system integrators among companies listed in CFE Media's Global System Integrator Database.
The Engineering Leaders Under 40 program identifies and gives recognition to young engineers who...
This eGuide illustrates solutions, applications and benefits of machine vision systems.
Learn how to increase device reliability in harsh environments and decrease unplanned system downtime.
This eGuide contains a series of articles and videos that considers theoretical and practical; immediate needs and a look into the future.
Sensor-to-cloud interoperability; PID and digital control efficiency; Alarm management system design; Automotive industry advances
Make Big Data and Industrial Internet of Things work for you, 2017 Engineers' Choice Finalists, Avoid control design pitfalls, Managing IIoT processes
Engineering Leaders Under 40; System integration improving packaging operation; Process sensing; PID velocity; Cybersecurity and functional safety
This article collection contains several articles on the Industrial Internet of Things (IIoT) and how it is transforming manufacturing.

Find and connect with the most suitable service provider for your unique application. Start searching the Global System Integrator Database Now!

SCADA at the junction, Managing risk through maintenance, Moving at the speed of data
Flexible offshore fire protection; Big Data's impact on operations; Bridging the skills gap; Identifying security risks
The digital oilfield: Utilizing Big Data can yield big savings; Virtualization a real solution; Tracking SIS performance
click me