KNIME
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Data exploration platform to help you with your work. KNIME, pronounced [naim], is a modular data exploration platform that enables the user to visually create data flows (often referred to as pipelines), selectively execute some or all analysis steps, and later investigate the results through interactive views on data and models.
KNIME is based on the Eclipse platform and, through its modular API, it is also easily extensible. When desired, custom nodes and types can be implemented in KNIME within hours thus extending KNIME to comprehend and provide first-tier support for highly domain-specific data.
This modularity and extensibility permits KNIME to be employed in commercial production environments as well as teaching and research prototyping settings.
One key behind the success of KNIME is its inherent modular workflow approach, which documents and stores the analysis process in the order it was conceived and implemented, while ensuring that intermediate results are always available.
Core KNIME features include:
1. Scalability through sophisticated data handling (intelligent automatic caching of data in the background while maximizing throughput performance)
2. High, simple extensibility via a well-defined API for plugin extensions
3. Intuitive user interface
4. Import/export of workflows (for exchanging with other KNIME users)
5. Parallel execution on multi-core systems
6. Command line version for "headless" batch executions
Available KNIME modules cover a vast range of functionality, such as:
1. I/O: retrieves data from files or data bases
2. Data Manipulation: pre-processes your input data with filtering, group-by, pivoting, binning, normalization, aggregation, joining, sampling, partitioning, etc.
3. Views: visualize data and results through several interactive views, allowing for interactive data exploration
4. Hiliting: ensures hilited data points in one view are also immediately hilited in all other views
5. Mining: uses state-of-the-art data mining algorithms like clustering, rule induction, decision tree, association rules, na ve bayes, neural networks, support vector machines, etc. to better understand your data
Requirements:
* Java
The license of this software is Free, you can free download and free use this flowchart & diagram software.

