Abstract: A flat heat exchanger plate typically used in a bulk material heat exchanger having an improved construction which increases heat transfer and service period by reducing bulk material accumulation. The flat heat exchanger plate is designed to operate under a negative internal pressure to eliminate depressions or dimples that are typically formed into the sides of these types of heat exchanger coils during the manufacture process. The dimples are created to reinforce the heat exchanger plate from positive internal pressures that other wise would cause the heat exchanger plate to bow due to internal positive pressures. With the removal of the depressions or dimples the tendency for bulk material to accumulate to the exterior surface of the plate is reduced, thereby increasing the service period of the plate and heat transfer. The flat heat exchanger plate tapers from wide to narrow along the direction of flow of bulk material across the plate to further reduce accumulation of bulk material.

Abstract: A process of transforming data residing in databases, such as relational databases, into forms suitable as input to data analysis tools, such as predictive modeling tools includes the steps of defining a business process problem to be solved and identifying data requirements. For example, the business process problem may relate to predicting a customer's propensity to make purchases in the future or a store's requirements for inventory in the future. In the process, a computer implemented method is used for automatically transforming data for data analysis such as predictive modeling. Database metadata that describe database tables, their interrelationships, dimensional information, fact tables and measures are accessed. A mining transformation profile is created to encapsulate aggregations and transformation on data stored in relational databases in order to convert the data to forms suitable for predictive mining tools.

Abstract: Systems and methods for processing Machine Learning (ML) algorithms in a MapReduce environment are described. In one embodiment of a method, the method includes receiving a ML algorithm to be executed in the MapReduce environment. The method further includes parsing the ML algorithm into a plurality of statement blocks in a sequence, wherein each statement block comprises a plurality of basic operations (hops). The method also includes automatically determining an execution plan for each statement block, wherein at least one of the execution plans comprises one or more low-level operations (lops). The method further includes implementing the execution plans in the sequence of the plurality of the statement blocks.

Abstract: The present invention generally relates to computer databases and, more particularly, to data mining and knowledge discovery. The invention specifically relates to a method for constructing segmentation-based predictive models, such as decision-tree classifiers, wherein data records are partitioned into a plurality of segments and separate predictive models are constructed for each segment. The present invention contemplates a computerized method for automatically building segmentation-based predictive models that substantially improves upon the modeling capabilities of decision trees and related technologies, and that automatically produces models that are competitive with, if not better than, those produced by data analysts and applied statisticians using traditional, labor-intensive statistical techniques. The invention achieves these properties by performing segmentation and multivariate statistical modeling within each segment simultaneously.

Abstract: A method of marketing optimization with respect to brand lifetime management formulates a problem of brand equity maximization utilizing Markov Decision Process (MDP) thereby casting brand equity management as a long term regard optimization problem in MDP, The marketing mix is optimized by formulating the mix as actions in MDP and, utilizing historical marketing and transaction data, aspects of the MDP are estimated.

Abstract: Systems and methods for processing Machine Learning (ML) algorithms in a MapReduce environment are described. In one embodiment of a method, the method includes receiving a ML algorithm to be executed in the MapReduce environment. The method further includes parsing the ML algorithm into a plurality of statement blocks in a sequence, wherein each statement block comprises a plurality of basic operations (hops). The method also includes automatically determining an execution plan for each statement block, wherein at least one of the execution plans comprises one or more low-level operations (lops). The method further includes implementing the execution plans in the sequence of the plurality of the statement blocks.

Abstract: Feature importance information available in a predictive model with correlation information among the variables is presented to facilitate more flexible choices of actions by business managers. The displayed feature importance information combines feature importance information available in a predictive model with correlational information among the variables. The displayed feature importance information may be presented as a network structure among the variables as a graph, and regression coefficients of the variables indicated on the corresponding nodes in the graph. To generate the display, a regression engine is called on a set of training data that outputs importance measures for the explanatory variables for predicting the target variable. A graphical model structural learning module is called that outputs a graph on the explanatory variables of the above regression problem representing the correlational structure among them.

Abstract: A process of transforming data residing in databases, such as relational databases, into forms suitable as input to data analysis tools, such as predictive modeling tools includes the steps of defining a business process problem to be solved and identifying data requirements. For example, the business process problem may relate to predicting a customer's propensity to make purchases in the future or a store's requirements for inventory in the future. In the process, a computer implemented method is used for automatically transforming data for data analysis such as predictive modeling. Database metadata that describe database tables, their interrelationships, dimensional information, fact tables and measures are accessed. A mining transformation profile is created to encapsulate aggregations and transformation on data stored in relational databases in order to convert the data to forms suitable for predictive mining tools.

Abstract: The present invention employs data processing systems to handle debt collection by formulation the collections process as a Markov Decision Process with constrained resources, thus making it possible automatically to generate an optimal collections policy with respect to maximizing long-term expected return throughout the course of a collections process, subject to constraints on the available resources possibly in multiple organizations. This is accomplished by coupling data modeling and resource optimization within the constrained Markov Decision Process formulation and generating optimized rules based on constrained reinforcement learning process comprising applied on the basis of past historical data.

Abstract: The present invention generally relates to computer databases and, more particularly, to data mining and knowledge discovery. The invention specifically relates to a method for constructing segmentation-based predictive models, such as decision-tree classifiers, wherein data records are partitioned into a plurality of segments and separate predictive models are constructed for each segment. The present invention contemplates a computerized method for automatically building segmentation-based predictive models that substantially improves upon the modeling capabilities of decision trees and related technologies, and that automatically produces models that are competitive with, if not better than, those produced by data analysts and applied statisticians using traditional, labor-intensive statistical techniques. The invention achieves these properties by performing segmentation and multivariate statistical modeling within each segment simultaneously.

Abstract: The present invention generally relates to computer databases and, more particularly, to data mining and knowledge discovery. The invention specifically relates to a method for constructing segmentation-based predictive models, such as decision-tree classifiers, wherein data records are partitioned into a plurality of segments and separate predictive models are constructed for each segment. The present invention contemplates a computerized method for automatically building segmentation-based predictive models that substantially improves upon the modeling capabilities of decision trees and related technologies, and that automatically produces models that are competitive with, if not better than, those produced by data analysts and applied statisticians using traditional, labor-intensive statistical techniques. The invention achieves these properties by performing segmentation and multivariate statistical modeling within each segment simultaneously.

Abstract: The present invention employs data processing systems to handle debt collection by formulation the collections process as a Markov Decision Process with constrained resources, thus making it possible automatically to generate an optimal collections policy with respect to maximizing long-term expected return throughout the course of a collections process, subject to constraints on the available resources possibly in multiple organizations. This is accomplished by coupling data modeling and resource optimization within the constrained Markov Decision Process formulation and generating optimized rules based on constrained reinforcement learning process comprising applied on the basis of past historical data.

Abstract: A method of marketing optimization with respect to brand lifetime management formulates a problem of brand equity maximization utilizing Markov Decision Process (MDP) thereby casting brand equity management as a long term regard optimization problem in MDP, The marketing mix is optimized by formulating the mix as actions in MDP and, utilizing historical marketing and transaction data, aspects of the MDP are estimated.

Abstract: A predictive model method (and structure) includes receiving an input data into an initial model to develop an initial model output and receiving both of the input data and the initial model output as input data into a first transform/regression stage.

Abstract: An apparatus removing material accumulated on the exterior surfaces of adjacent heat exchanger plates arranged side-by-side in a spaced relationship in a bulk material heat exchanger and a bulk material heat exchanger incorporating the apparatus is provided. In one aspect, the apparatus develops vibratory shock waves through each coil to dislodge material that has accumulated on the surfaces of the heat exchanger plates. In another aspect, the apparatus translates each heat exchanger plate in a sequential back-and-forth motion to create a shearing effect in material that has accumulated between the adjacent surfaces of heat exchanger plates. In one aspect, the apparatus includes a driven cam and a cam follower, where the cam or cam follower includes a profile to achieve the desired motion of each heat exchanger plate.

Abstract: A security slider for a zip fastener which prevents or severely restricts unauthorised access to the contents of an item which is closed by the zip fastener. This is achieved by a lateral blocking member attached to the slider. A zip fastener incorporating the slider and a suitcase or bag incorporating the zip fastener are also provided.

Abstract: A method, and system for targeted marketing of goods or services to specific customers is disclosed. Customers are analyzed based upon historical criteria; a promotional plan (a group of promotion events implemented or to be implemented over a particular time period) is analyzed to determine the effect of each promotion event on the other promotion events in the promotional plan; and, based on this analysis, the optimal promotion stream (a specific subset of the promotional plan to be sent to customers or a group of similar customers) is determined so as to maximize the ROI of the promotional plan as a whole.

Abstract: An apparatus removing material accumulated on the exterior surfaces of adjacent heat exchanger plates arranged side-by-side in a spaced relationship in a bulk material heat exchanger and a bulk material heat exchanger incorporating the apparatus is provided. In one aspect, the apparatus develops vibratory shock waves through each coil to dislodge material that has accumulated on the surfaces of the heat exchanger plates. In another aspect, the apparatus translates each heat exchanger plate in a sequential back-and-forth motion to create a shearing effect in material that has accumulated between the adjacent surfaces of heat exchanger plates. In one aspect, the apparatus includes a driven cam and a cam follower, where the cam or cam follower includes a profile to achieve the desired motion of each heat exchanger plate.

Abstract: A flat heat exchanger plate typically used in a bulk material heat exchanger having an improved construction which increases heat transfer and service period by reducing bulk material accumulation. The flat heat exchanger plate is designed to operate under a negative internal pressure to eliminate depressions or dimples that are typically formed into the sides of these types of heat exchanger coils during the manufacture process. The dimples are created to reinforce the heat exchanger plate from positive internal pressures that other wise would cause the heat exchanger plate to bow due to internal positive pressures. With the removal of the depressions or dimples the tendency for bulk material to accumulate to the exterior surface of the plate is reduced, thereby increasing the service period of the plate and heat transfer. The flat heat exchanger plate tapers from wide to narrow along the direction of flow of bulk material across the plate to further reduce accumulation of bulk material.

Abstract: A flat heat exchanger plate typically used in a bulk material heat exchanger is provided. The flat heat exchanger plate is designed to operate under a negative internal pressure to eliminate depressions or dimples that are typically formed into the sides of these types of heat exchanger coils during the manufacture process. With the removal of the depressions or dimples the tendency for bulk material to accumulate to the exterior surface of the plate is reduced, thereby increasing the service period of the plate.