Abstract: Embodiments of the invention are directed to a system, method, or computer program product for providing an information technology build service for building a platform in response to a service request. The invention receives a service request for the platform build from a requester, receives a plurality of platform parameters from the requester, determines whether the service request requires one or more physical machines or one or more virtual machines, and if the service request requires one or more virtual machines, initiates build of the one or more virtual machines. The invention also provisions physical and virtual storage based on received parameters, provisions physical and virtual processing power based on received parameters, and manages power of resources during the build, the managing comprising managing power ups, power downs, standbys, idles and reboots of one or more physical components being used for the build.

Abstract: Embodiments of the invention are directed to a system, method, or computer program product for providing an information technology build service for building a platform in response to a service request. The invention receives a service request for the platform build from a requester, receives a plurality of platform parameters from the requester, determines whether the service request requires one or more physical machines or one or more virtual machines, and if the service request requires one or more virtual machines, initiates build of the one or more virtual machines. The invention also provisions physical and virtual storage based on received parameters, provisions physical and virtual processing power based on received parameters, and manages power of resources during the build, the managing comprising managing power ups, power downs, standbys, idles and reboots of one or more physical components being used for the build.

Abstract: The described embodiments relate to methods and systems for data classification using a self-organizing map. Certain embodiments relate to a method of labeling data for training a classifier, comprising: obtaining data, the data comprising labeled data and unlabeled data; generating a self-organizing map of the data; and a labeling at least some of the unlabeled data based on proximity of the unlabeled data to labeled data within the self-organizing map to generate self-labeled data. The method may include training a classifier based on the labeled and self-labeled data. Other embodiments relate to systems and computer readable media configured to perform, or allow performance of, the method embodiments.

Abstract: The described embodiments relate to methods and systems for data classification using a self-organizing map. Certain embodiments relate to a method of labeling data for training a classifier, comprising: obtaining data, the data comprising labeled data and unlabeled data; generating a self-organizing map of the data; and a labeling at least some of the unlabeled data based on proximity of the unlabeled data to labeled data within the self-organizing map to generate self-labeled data. The method may include training a classifier based on the labeled and self-labeled data. Other embodiments relate to systems and computer readable media configured to perform, or allow performance of, the method embodiments.