Common use of Key Features Clause in Contracts

Key Features. Parallel Processing Support for the execution computational nodes of algorithms on multi-cores Distributed Processing Transparent distribution of computational nodes the execution on sets of Failover Management Automatically transfers control to a duplicate computational node when faults or failures are detected State-of-the-art data mining General purpose algorithms (e.g. Clustering, Principal algorithms Component Analysis, Artificial Neural Networks, Maximum Entropy, etc.) supplied as-a-service Data trends generation and Identification of trends; inspection of time series to analysis automatically identify anomalies; basic signal processing techniques to explore periodicities in trends

Key Features. Parallel Processing Support for the execution computational nodes of algorithms on multi-cores computational nodes Distributed Processing Transparent distribution of computational nodes the execution on sets of computational nodes Failover Management Automatically transfers control to a duplicate computational node when faults or failures are detected State-of-the-art data mining algorithms General purpose algorithms (e.g. Clustering, Principal algorithms Component Analysis, Artificial Neural Networks, Maximum Entropy, etc.) supplied as-a-service Data trends generation and analysis Identification of trends; inspection of time series to analysis automatically identify anomalies; basic signal processing techniques to explore periodicities in trends

Key Features. Parallel Processing Support for the execution computational nodes of algorithms on multi-cores Distributed Processing Transparent distribution of computational nodes the execution on sets of Failover Management Automatically transfers control to a duplicate computational node when faults or failures are detected State-of-the-art data mining algorithms General purpose algorithms (e.g. Clustering, Principal algorithms Component Analysis, Artificial Neural Networks, Maximum Entropy, etc.) supplied as-a-service Data trends generation and analysis Identification of trends; inspection of time series to analysis automatically identify anomalies; basic signal processing techniques to explore periodicities in trends

Key Features. Parallel Processing Support for the execution computational nodes of algorithms on multi-cores computational nodes Distributed Processing Transparent distribution of computational nodes the execution on sets of computational nodes Failover Management Automatically transfers control to a duplicate computational node when faults or failures are detected State-of-the-art data mining General purpose algorithms (e.g. Clustering, Principal algorithms Component Analysis, Artificial Neural Networks, Maximum Entropy, etc.) supplied as-a-service Data trends generation and Identification of trends; inspection of time series to analysis automatically identify anomalies; basic signal processing techniques to explore periodicities in trends

Key Features. Parallel Processing Support for the execution computational nodes of algorithms on multi-cores computational nodes. Distributed Processing Transparent distribution of computational nodes the execution on sets of computational nodes. Failover Management Automatically transfers control to a duplicate computational node when faults or failures are detected detected. State-of-the-art data mining algorithms General purpose algorithms (e.g. Clustering, Principal algorithms Component Analysis, Artificial Neural Networks, Maximum Entropy, etc.) supplied as-a-service service. Data trends generation and analysis Identification of trends; inspection of time series to analysis automatically identify anomalies; basic signal processing techniques to explore periodicities in trends.