Abstract: A heating device for heating fluids, such as water or a liquid coolant, for application in electric or hybrid vehicles, where the absence of an internal combustion engine or its shorter time of use requires using heating devices for heating either the passenger compartment or other parts of the vehicle that require it. The heating device is provided with a configuration which limits the temperature to the temperature at which heat exchange occurs between the heat generation source and the liquid to be heated, such that the liquid does not generate precipitates, prolonging the service life of the device.

Abstract: A continuous-flow heater is described, with a housing made from an aluminium-based alloy, in which a flow channel for a fluid to be heated extends from an inlet to an outlet, and a heating plate which is arranged in the housing, with a substrate made from steel, which carries heating conductor tracks, a frame embedded in a wall of the housing, wherein the heating plate forms one wall of the flow channel in the housing, and is welded to the frame.

Abstract: Computer-based models can be developed, deployed, and managed in an automated manner. For example, a model building tool can be selected based on the model building tool being compatible with one or more parameters. A first machine-learning model can be generated using the model building tool and trained using a training dataset. The first machine-learning model can then be used to perform a task. Thereafter, a new model-building tool can be selected based on the new model-building tool being compatible with the one or more parameters. A second machine-learning model can be generated using the new model-building tool and trained using the training dataset. The accuracy of the first machine-learning model can be compared to the accuracy of the second machine-learning model. Based on the second machine-learning model being more accurate, the second machine-learning model can be used to perform the particular task rather than the first machine-learning model.

Abstract: A continuous-flow heater is described, with a housing made from an aluminium-based alloy, in which a flow channel for a fluid to be heated extends from an inlet to an outlet, and a heating plate which is arranged in the housing, with a substrate made from steel, which carries heating conductor tracks, a frame embedded in a wall of the housing, wherein the heating plate forms one wall of the flow channel in the housing, and is welded to the frame.

Abstract: Computer-based models can be developed, deployed, and managed in an automated manner. For example, a model building tool can be selected based on the model building tool being compatible with one or more parameters. A first machine-learning model can be generated using the model building tool and trained using a training dataset. The first machine-learning model can then be used to perform a task. Thereafter, a new model-building tool can be selected based on the new model-building tool being compatible with the one or more parameters. A second machine-learning model can be generated using the new model-building tool and trained using the training dataset. The accuracy of the first machine-learning model can be compared to the accuracy of the second machine-learning model. Based on the second machine-learning model being more accurate, the second machine-learning model can be used to perform the particular task rather than the first machine-learning model.

Abstract: Computer-based models can be developed, deployed, and managed in an automated manner. For example, a model building tool can be selected based on the model building tool being compatible with one or more parameters. A first machine-learning model can be generated using the model building tool and trained using a training dataset. The first machine-learning model can then be used to perform a task. Thereafter, a new model-building tool can be selected based on the new model-building tool being compatible with the one or more parameters. A second machine-learning model can be generated using the new model-building tool and trained using the training dataset. The accuracy of the first machine-learning model can be compared to the accuracy of the second machine-learning model. Based on the second machine-learning model being more accurate, the second machine-learning model can be used to perform the particular task rather than the first machine-learning model.

Abstract: The present invention relates to a heating device for heating fluids, such as water or a liquid coolant, for example, which can be applied in electric or hybrid vehicles, for example, where the absence of an internal combustion engine or its shorter time of use requires using heating devices for heating either the passenger compartment or other parts of the vehicle that require it. The present invention is characterized by a configuration which limits the temperature to the temperature at which heat exchange occurs between the heat generation source and the liquid to be heated, such that the liquid does not generate precipitates, prolonging the service life of the device.

Abstract: Computer-based models can be developed, deployed, and managed in an automated manner. For example, a model building tool can be selected based on the model building tool being compatible with one or more parameters. A first machine-learning model can be generated using the model building tool and trained using a training dataset. The first machine-learning model can then be used to perform a task. Thereafter, a new model-building tool can be selected based on the new model-building tool being compatible with the one or more parameters. A second machine-learning model can be generated using the new model-building tool and trained using the training dataset. The accuracy of the first machine-learning model can be compared to the accuracy of the second machine-learning model. Based on the second machine-learning model being more accurate, the second machine-learning model can be used to perform the particular task rather than the first machine-learning model.

Abstract: Computer-implemented systems and methods for updating champion predictive models that operate within a production environment. A system and method can include evaluating the predictive model performance of a champion predictive model. Based upon an indication of decay of predictive model performance of the champion predictive model, a corrective action is performed to correct the performance of the champion predictive model.

Abstract: A DFH (Dynamic Flying Height) type slider ABS design has a stable flying height and a DFH efficiency that is uniform across the entire disk surface. These properties are a result of embedding the read/write head and heater in a trapezoidally bridged micro-pad having a very small surface area. The micro-pad is surrounded by a wing-like structure that projects from a central rail in the ABS and the micro pad is connected to an inner edge of that structure by a bridge having a trapezoidal shape. The trapezoidal shape responds effectively to variations in air flow direction and pressure point as the slider moves across the disk surface and, as a result, provides the uniform DFH efficiency. At the same time, the projecting wings and adjacent topology help to direct the airflow around the micro-pad and provide the stable flying height.

Abstract: A computer-implemented dimension engine that automatically identifies the market segments represented in user-specified input data. The dimension engine creates new dimension variables based on those segments that most accurately predict the outcomes of a target variable. A data store is used to store the input data. A decision tree processing module determines a subset of the dimension variables to split the input data. The splitting of the dimension variables predicts the target variable. A multi-dimension viewer generates a report using the determined dimension variables subset and the splitting of the dimension variables.

Abstract: A model repository is provided for storing selected data models generated by a data mining application. The model repository may include one or more index data structures for storing attributes of the models within the model repository. A user may then search through the one or more indexes in order to find a model that suits his or her needs.

Abstract: A model repository is provided for storing selected data models generated by a data mining application. Associated with the model repository is a model repository facility that is preferably integrated into the data mining application and enables operations, such as the exportation of useful models to the model repository. The model repository may also include one or more searchable index data structures for storing attributes of the models within the model repository. These indexes may include a main index that contains attributes of all the models stored in the model repository, and one or more special indexes, such as a tree-type index and mini-index, that contain the attributes of a particular sub-set of the models stored in the model repository.

Abstract: A DFH (Dynamic Flying Height) type slider ABS design has a stable flying height and a DFH efficiency that is uniform across the entire disk surface. These properties are a result of embedding the read/write head and heater in a trapezoidally bridged micro-pad having a very small surface area. The micro-pad is surrounded by a wing-like structure that projects from a central rail in the ABS and the micro pad is connected to an inner edge of that structure by a bridge having a trapezoidal shape. The trapezoidal shape responds effectively to variations in air flow direction and pressure point as the slider moves across the disk surface and, as a result, provides the uniform DFH efficiency. At the same time, the projecting wings and adjacent topology help to direct the airflow around the micro-pad and provide the stable flying height.

Abstract: A DFH (Dynamic Flying Height) type slider ABS design has significantly improved DFH efficiency and a decreased sensitivity of flying height to both ambient conditions and disk surface variations. This is a result of embedding the read/write head and heater in a micro-pad having a very small surface area. The micro-pad is surrounded by a wing-like structure that projects from a central rail in the ABS. The micro-pad is separated from the central rail by a surrounding trench whose depth can be varied to tune the DFH efficiency. The small surface area of the micro-pad reduces the air pressure at the read/write head and the projecting wings and adjacent topology help to direct the airflow around the micro-pad.

Abstract: Computer-implemented systems and methods for updating champion predictive models that operate within a production environment. A system and method can include evaluating the predictive model performance of a champion predictive model. Based upon an indication of decay of predictive model performance of the champion predictive model, a corrective action is performed to correct the performance of the champion predictive model.

Abstract: Method and apparatus for a searchable data service are described. The searchable data service may be implemented as a Web service with a Web service interface that allows the storage of locators and other attributes associated with entities stored in a data store in a searchable index. The attributes may be expressed as {name, value} pairs. The interface may allow client applications to query the searchable index to retrieve locators for entities in the backend data store according to the attributes associated with each locator. Search speed may be automatically optimized using, for example, indexes, query planning, and parallelism. The searchable data service provides a searchable index and is not a data store per se. The searchable data service separates searching and indexing of data from the actual storage of the data.

Abstract: A computer-implemented knowledge repository data interface system and method for use by client applications to interact with a plurality of knowledge repositories. The knowledge repositories contain analytical models of interest to the client applications. A request handling module receives requests regarding the models from one of the client applications over a network. Knowledge repository application programming interfaces (APIs) are used to retrieve data about the models in the knowledge repositories based upon the received requests.

Abstract: A model repository is provided for storing selected data models generated by a data mining application. The model repository is a structure that may be organized into a plurality of levels, including a project level, a diagram level, and a model level. The project level may include one or more diagrams, each of which describes a particular set of model specifications. Each diagram may then be associated with one or more models. Associated with the model repository is a model repository facility that is preferably integrated into the data mining application and enables operations, such as the exportation of useful models to the model repository. The model repository may also include one or more index data structures for storing attributes of the models within the model repository.

Abstract: A computer-implemented knowledge repository data interface system and method for use by client applications to interact with a plurality of knowledge repositories. The knowledge repositories contain analytical models of interest to the client applications. A request handling module receives requests regarding the models from one of the client applications over a network. Knowledge repository application programming interfaces (APIs) are used to retrieve data about the models in the knowledge repositories based upon the received requests.