Abstract: The present subject matter relates to management of site-aware cluster of a data storage system. In an example implementation, a workload manager is hosted on a node of a secondary site in the site-aware cluster for managing an application workload of a primary site in the site-aware cluster. When the primary site is subjected to failure, the application workload is shifted from the primary site to the secondary site by the workload manager.

Abstract: The present subject matter relates to management of site-aware cluster of a data storage system. In an example implementation, a workload manager is hosted on a node of a secondary site in the site-aware cluster for managing an application workload of a primary site in the site-aware cluster. When the primary site is subjected to failure, the application workload is shifted from the primary site to the secondary site by the workload manager.

Abstract: A computerized method, system and program product for generating a data mining model. A user can provide objectives for the model and sample data to train, validate, and test the model. A rules system can automatically select a set of algorithms based on the objectives and/or sample data. A plurality of datasets can also be created from the sample data. Using the datasets, the set of algorithms can be optimized for the particular data on which it is intended to be used. The data mining model can then be generated from the optimized set of algorithms.

Abstract: A computerized method, system and program product for generating a data mining model. A user can provide objectives for the model and sample data to train, validate, and test the model. A rules system can automatically select a set of algorithms based on the objectives and/or sample data. A plurality of datasets can also be created from the sample data. Using the datasets, the set of algorithms can be optimized for the particular data on which it is intended to be used. The data mining model can then be generated from the optimized set of algorithms.

Abstract: A computerized method, system and program product for generating a data mining model. A user can provide objectives for the model and sample data to train, validate, and test the model. A rules system can automatically select a set of algorithms based on the objectives and/or sample data. A plurality of datasets can also be created from the sample data. Using the datasets, the set of algorithms can be optimized for the particular data on which it is intended to be used. The data mining model can then be generated from the optimized set of algorithms.

Abstract: Under the present invention, a data exploration system, a customized model system and an existing model system are provided. The data exploration system analyzes user data to identify statistical information such as data distribution, data relationships, data outliners and invalid or missing data values. The customized model center iteratively generates customized data mining models in parallel based on permutations of the user data, user-provided business parameters and/or a set of model generation algorithms. The existing model system provides users with a library of existing data mining models, assembled based on the business parameters, from which they can choose one or more. In any event, any customized or existing data mining models selected can be run against the user data in parallel.

Abstract: Under the present invention, a data exploration system, a customized model system and an existing model system are provided. The data exploration system analyzes user data to identify statistical information such as data distribution, data relationships, data outliners and invalid or missing data values. The customized model center iteratively generates customized data mining models in parallel based on permutations of the user data, user-provided business parameters and/or a set of model generation algorithms. The existing model system provides users with a library of existing data mining models, assembled based on the business parameters, from which they can choose one or more. In any event, any customized or existing data mining models selected can be run against the user data in parallel.

Abstract: A computerized method, system and program product for generating a data mining model. A user can provide objectives for the model and sample data to train, validate, and test the model. A rules system can automatically select a set of algorithms based on the objectives and/or sample data. A plurality of datasets can also be created from the sample data. Using the datasets, the set of algorithms can be optimized for the particular data on which it is intended to be used. The data mining model can then be generated from the optimized set of algorithms.

Abstract: Embodiments of the present invention can reduce the power consumption of memory systems by powering down unused portions of memory, independent of operating system activity.

Abstract: Tissue paper having indicia disposed thereon. The tissue paper may be through air dried, or otherwise structured to provide a texture on at least one face. The textured face of the tissue paper has indicia printed thereon. The indicia provides a high fidelity, realistic visual impression of whatever is represented thereby. This realistic impression allows the indicia to be taken from photographic sources, as well as artwork.

Abstract: Noninvasive methods for monitoring at least one hair characteristic on a human or animal comprise magnifying a predetermined skin area having reference indicia to provide a first magnified image, digitally capturing the first magnified image to form a reference image, after a predetermined time period, magnifying the predetermined skin area to provide a second magnified image, and superimposing the second magnified image on the reference image to align the reference indicia in the second magnified image with the reference indicia in the reference image. Apparatus for noninvasive monitoring of at least one hair characteristic on a human or animal comprise a fiber optic remote head microscope, means for digitally capturing a first magnified image provided by the microscope to form a reference image, and means for superimposing a second magnified image provided by the microscope on the reference image and aligning reference indicia in the second magnified image with reference indicia in the reference image.

Abstract: Tissue paper having indicia disposed thereon. The tissue paper may be through air dried, or otherwise structured to provide a texture on at least one face. The textured face of the tissue paper has indicia printed thereon. The indicia provides a high fidelity, realistic visual impression of whatever is represented thereby. This realistic impression allows the indicia to be taken from photographic sources, as well as artwork.

Abstract: An improved toothbrush which has V-shaped ripples at the right and left side of the bristle field and the front surface of the bristle field is uniformly convex from the right side to the left side, without any ripples. Since the V-shaped ripples are located at the sides, the bristles in the V-shaped ripples can be packed and pushed deep inside the interdental spaces cleaning them thoroughly and at the same time cleaning and massaging the gingivae uniformly without exerting excessive pressure on the gingivae.