Abstract: A system and method for automatically creating causal association models of complex information technology (IT) systems. System components and elements are subject to periodic monitoring associated with performance thresholds. Numerical data indicating component state information is converted to Boolean attributes by use of defined or discovered thresholds. Resulting data is accumulated and data mined for component relations within the IT system using association rules induction methods. Models of the system may then be adapted with results generated from the analysis to accurately reflect causal relations among various system components.

Abstract: Method for fast (real-time) storage and retrieval of digital code sequences, each representing one or more predetermined features of a musical note, a fraction of a musical note, or group of musical notes and a system that implements this method, with the aim to automatically control electronic musical devices and thereby to avoid or alleviate certain problems associated with the prior art. Storage and retrieval will increase rapidity and efficiency even more by pre-selecting on the basis of related data or by using statistical information.

Abstract: A system and method for automatically creating performance models of complex information technology (IT) systems. System components and elements are subject to periodic monitoring associated with performance thresholds. A continuity analysis is performed by synchronizing testing functions associated with the predetermined system performance thresholds. Resulting data is accumulated and data mined for component and functional relations within the IT system. Models of the system may then be adapted with results generated from the analysis.