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Vienna / Avezzano, May 2008 - Micron, one of the world’s largest semiconductor manufacturers, successfully uses Viscovery SOMine for clustering of spatial failure patterns.

The industrial manufacture of integrated circuits is a complex and costly process. Continuous high-quality output and high yields are essential for successful production. Product defects, therefore, need to be detected at an early stage of the production process. Defect patterns on wafers are an important source of information for the identification of production problems.

An important step is to isolate clusters of similar failure patterns and assign individual defects to distinct failure classes. Using Viscovery SOMine, Micron obtained very good results in clustering shading patterns of failing wafers.

Traditionally, defect recognition is performed by yield analysis engineers who inspect the electrical failure map of each wafer. This manual approach is not only time consuming and expensive, but also leads to high levels of misidentification; thus, Micron aims to develop systems for automatic defect recognition.

Free 30-day licenses of Viscovery SOMine available

Viscovery is offering fully functional 30-day trial licenses at www.somine.info for users to explore the capabilities and powerful performance of Viscovery SOMine 5.0 for free.

About Micron

With net sales of $5.69 billion in 2007 and 22,600 employees worldwide, Micron is one of the world’s largest companies focused on memory, storage and imaging semiconductor products. Since 2006, Micron has successfully used the Viscovery software for the analysis of failure patterns in semiconductor production.

About Viscovery Software GmbH

As one of the first data-mining companies in Europe, Viscovery (formerly eudaptics software gmbh) is among the leading vendors of predictive analytics solutions. Since September 2007 Viscovery has been part of the Biomax group.

The Viscovery suite contains unique patented technology for exploratory analysis and statistical modeling of complex data. Comprehensive workflows support the generation of high-performance predictive models, which can be integrated in real time and updated automatically.

For many years, the Viscovery software has been used by more than 300 customers in diversified areas ranging from banking, insurance, telecommunications, industry, media and retail to research organizations and universities.

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Vienna, May 2008 - The data mining vendor Viscovery Software GmbH announces the availability of its data mining module Viscovery® SOMine as an Edition for SPSS® Users. The product gives SPSS users more exploratory data mining power and connects to SPSS software seamlessly.

For SPSS users who need additional data mining functionality and for SPSS Clementine users who want to explore data visually, Viscovery SOMine Edition for SPSS Users is the ideal add-on!

Viscovery is known for its intuitive approach to the exploration and modeling of high-dimensional data and - in addition to a large variety of powerful features - provides workflow guidance for the following:

• Explorative data mining
• Visual cluster analysis
• Interactive segmentation
• Classification
• Predictive modeling with Self-Organizing Maps

With Viscovery SOMine 5.0 Edition for SPSS Users, the leading data mining system based on Self-Organizing Maps is now available to SPSS users at special, attractive conditions.

For more information visit spss.somine.info and try the Viscovery SOMine software for free for 30 days.

SPSS and other mentioned SPSS products are registered trademarks of SPSS Inc.

Viscovery is a registered trademark of Viscovery Software GmbH.

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Vienna, March 2008 – Version 5.0 of the proven Viscovery SOMine data-mining tool is now available.

Self-Organizing Maps powered by Viscovery

The data mining vendor Viscovery Software GmbH releases the new and fundamentally extended version 5.0 of its popular Viscovery SOMine data mining tool at particularly attractive conditions.

Exploratory Data Mining with Self-Organizing Maps

Viscovery SOMine is the worldwide leading implementation of data mining based on Self-Organizing Maps combined with statistics. The new and completely re-engineered version of Viscovery SOMine now also offers the proven Viscovery workflow system, which unerringly guides the user to the analysis results.

In addition to comprehensive descriptive statistics, the new version provides principal component analysis, correlation matrices and comprehensive graphical statistics such as histograms, scatter plots and box plots. Direct access to the original data records underlying the Self-Organizing Maps and their complete statistics is provided context sensitive during the analytical workflow and through the visual user interface of Viscovery SOMine.

Free 30-day trial license

Viscovery is offering fully functional 30-day trial licenses at www.somine.info for users to explore the enhancements and capabilities of Viscovery SOMine 5.0 for free.

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Vienna, 30 November 2007 – The data-mining specialist Viscovery Software GmbH (Vienna, Austria) launches version 5.0 of the Viscovery® visual analysis platform. In addition to numerous extensions and usability improvements, the new release provides full automation and integration functionality for the generation and application of analytical models.

In particular, the handling of data sets with many variables has been optimized. The Viscovery platform now provides easier and better performance for processing data sets with over 10,000 variables, a common occurrence in text-mining applications or the analysis of gene data. Working with and validation of models has also been substantially extended. In addition to real-time access to original data sets through the visual models, the Viscovery platform provides complete, context-sensitive statistical information about microclusters and selected segments.

Intuitive and interactive data representation for exploratory analyses as well as patented technology for nonlinear prediction make Viscovery 5 an unrivaled data-mining solution. The Viscovery platform meets the demands of a high-end analytic solution including exploratory data mining, prediction and scoring, cluster analysis and segmentation, as well as real-time integration, automation and real-time analytics.