Abstract: A clustering system selects a parameter set from a plurality of parameter sets associated with a dataset to generate a hyper-optimized cluster of the dataset. Different parameter sets are generated by varying the parameter values based on the Genetic Algorithm or a particle swarming algorithm. A parameter set having a high Fitness score is selected from the different parameter sets and a clustered solution produced using the selected parameter set having a maximum total score is used to produce actionable items.

Abstract: A clustering system selects a parameter set from a plurality of parameter sets associated with a dataset to generate a hyper-optimized cluster of the dataset. Different parameter sets are generated by varying the parameter values based on the Genetic Algorithm or a particle swarming algorithm. A parameter set having a high Fitness score is selected from the different parameter sets and a clustered solution produced using the selected parameter set having a maximum total score is used to produce actionable items.

Abstract: An integration environment generator receives an input file and converts the input file into a markup language file. The input file identifies modules for an application to be deployed, dependencies among the modules, test cases for testing the modules, and scheduling information. The integration environment generator receives rules and validates the markup language file against the rules. The rules specify a unified format for including the dependencies of the modules in the input file. The integration environment generator identifies the modules, the dependencies among the modules, and the scheduling information and the test cases from the validated markup language file. The integration environment generator selects a build script template for the identified dependencies, a scheduling script template for the identified scheduling information and a test case script template for the identified test cases and generates a build script, a scheduling script and a test case script from the templates.

Abstract: An online analytical processing (OLAP) specification system for specifying a new OLAP cube from an OLAP cube template including an OLAP cube template determination module determining the OLAP cube template and retrieve a corresponding template metadata file, the template metadata file including metadata defining the structure of the OLAP cube template. The OLAP specification system also includes a metadata copy module copying the template metadata file to create a base metadata file. The OLAP specification system also includes a viable options generation module generating and presenting viable options for modifying metadata in the base metadata file to define the new OLAP cube, where the viable options for modifying metadata in the base metadata file conforms with one or more predetermined rules.

Abstract: An integration environment generator receives an input file and converts the input file into a markup language file. The input file identifies modules for an application to be deployed, dependencies among the modules, test cases for testing the modules, and scheduling information. The integration environment generator receives rules and validates the markup language file against the rules. The rules specify a unified format for including the dependencies of the modules in the input file. The integration environment generator identifies the modules, the dependencies among the modules, and the scheduling information and the test cases from the validated markup language file. The integration environment generator selects a build script template for the identified dependencies, a scheduling script template for the identified scheduling information and a test case script template for the identified test cases and generates a build script, a scheduling script and a test case script from the templates.

Abstract: An online analytical processing (OLAP) specification system for specifying a new OLAP cube from an OLAP cube template including an OLAP cube template determination module determining the OLAP cube template and retrieve a corresponding template metadata file, the template metadata file including metadata defining the structure of the OLAP cube template. The OLAP specification system also includes a metadata copy module copying the template metadata file to create a base metadata file. The OLAP specification system also includes a viable options generation module generating and presenting viable options for modifying metadata in the base metadata file to define the new OLAP cube, where the viable options for modifying metadata in the base metadata file conforms with one or more predetermined rules.