CAMBRIDGE, Massachusetts and ZURICH, Switzerland – August 23, 2010 – At the CambridgeSoft User Meeting and Conference, CambridgeSoft, a leading provider of software and services for discovery, analysis, and collaboration to the life sciences, and KNIME.com, the company behind the professional open source workflow tool KNIME will announce the execution of a wide-ranging collaboration agreement. Under the agreement, CambridgeSoft will sell, support, and service the KNIME platform in enterprise R&D environments, and both companies will work to tighten the integration of KNIME.com and CambridgeSoft products.
Pervasive DataRush for KNIME Delivers Breakthrough Throughput on Big Data with Open-Source Data Mining
ZURICH, Switzerland and AUSTIN, Texas – August 4, 2010 - Pervasive Software® Inc.(NASDAQ: PVSW) and KNIME.com today announced collaboration resulting in Pervasive DataRush™ for KNIME, a KNIME-certified plug-in that gives data miners access to high-throughput data operations and a parallel engine within the KNIME interface. Pervasive is an innovator in enabling scalable data-intensive applications and data analytics, and KNIME.com supports the comprehensive open-source data integration and analytics platform.
SHANGHAI, CHINA and ZURICH, SWITZERLAND – August 1, 2010 – KNIME.com, the company behind KNIME, the comprehensive open-source data integration and analytics platform, announced today that it has signed a distribution agreement for China with Tri-I-Biotech (Shanghai) Inc. Under the agreement, Tri-I-Biotech will provide support for KNIME desktop and KNIME Report Designer in addition to support and distribution of the KNIME enterprise products. These products include KNIME Enterprise Server, KNIME Cluster Execution, and KNIME Report Server.
A new book written by Michael Berthold and colleagues Frank Höppner, Frank Klawoon, and Christian Borgelt was just published by Springer-Verlag. The "Guide to Intelligent Data Analysis" provides a hands-on instructional approach to many basic data analysis techniques, and explains how these are used to solve real world data analysis problems. Each chapter demonstrates how the presented methods are applied using both KNIME and R scripts.
Iris Adä is introducing a modular, highly flexible, open-source environment for data generation at the KDD 2010 in Washington DC.
Using KNIME, the user can combine various types of modules for numeric and categorical data generators. Additional functionality is added via the data processing framework in which the generator modules are embedded. The resulting data flows can be used to document, deploy, and reuse the resulting data generators.
Details can be found here.