1258 results about "Analytic model" patented technology

A system and method for collecting, filtering, analyzing, distributing and effectively utilizing highly relevant events (such as key business events) in real time, from huge quantities of data. The present invention analyzes both historic and real-time data stemming from operational activity, by interfacing with internal data repositories (such as Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM)), external data sources (such as suppliers and clients), and real time operational systems in order to create an Active Intelligence Platform. This Active Intelligence Platform is positioned as a layer between the organization's data sources and its applications, monitoring inputs and relaying only the important data items to the relevant individuals and / or systems. This allows individuals and systems to respond immediately and effectively to key events.

The present invention provides a system and method for information and data aggregation and analysis which provides risk managers, benefits managers, brokers, insurers and other insurance professional to have access to information resources, knowledge management tools, and powerful analytical models needed to increase their value and productivity. In accordance with one embodiment of the invention, the system and method provided is designed for information and data aggregation that allows for the compilation of data for mining and categorization by a knowledge management system, which stores all retrieved information in accordance with categories provided by a categorization engine referred to as a Taxonomy module. A contextualization module is configured to retrieve relevant information, based on various factors, including the user's profile, and the user's particular task. The system dynamically provides relevant information as the user interacts and conducts various tasks. The stored information is analyzed by a concept clustering module, so that various concepts relating to a particular topic can be uncovered and stored. In accordance with another embodiment of the invention, the system provides for various analytical tools that allow users to carry on with highly complex analysis of insurance related topics. The range of available analytical tool dynamically varies based on the user's needs and research topics. In accordance with yet another embodiment of the invention, the system provides for a unique interactive workspace that combines the features explained above in a logical manner. To this end, the system interface provides for various job templates, so as to enable the user's to carry various projects by a template driven task assignments. As the user navigates through the workspace, the range of available information to the user changes, based on the user's profile and navigation pattern.

One embodiment of the present invention provides a system that determines an assist feature placement. During operation, the system receives an initial assist feature placement for a layout. Next, the system determines assist feature perturbations using the initial assist feature placement. An assist feature perturbation typically comprises a few simple polygons. The system then determines perturbation values at evaluation points in the layout using the assist feature perturbations and an analytical model. If a process-sensitivity model is used, the perturbation value at an evaluation point is associated with the change in the through-process window at that point in the layout. Next, the system determines a change in the value of an objective function using the perturbation values. The objective function can be indicative of the overall manufacturability of the layout. The system then determines an assist feature placement using the change in the value of the objective function. For example, the system can determine an assist feature placement using an assist feature perturbation which minimizes the objective function value.

A system and method for creating virtual “flat” customer records derived from database customer data that may be used as standardized input for analytical models. A Customer Analytic Record (“CAR”) application may be created as a database object to extract, transform, and format all of the customer data needed for customer segmentation and predictive modeling. The CAR may be a set of database “views” that are defined using virtual stored queries and enabled using capabilities of a data base management system and a structured query language. The CAR is preferably a virtual “flat” record of the customer data needed for customer analytics. The customer data may be extracted by running one or more SQL queries against the database view(s). The CAR application may dynamically calculate additional variables using predetermined transformations, including custom transformations of an underlying behavior. If additional variables are created, the CAR may be modified to include the additional variables. The CAR is preferably a dynamic view of the customer record that changes whenever any update is made to the database. The definition of the CAR provides documentation of each data element available for use in models and analytics.

The use of visual cues associated with rendered visual items to cue a user on whether a rendered visual item has interactive capability and / or what type of interaction is possible with that visual item. The visual items may be rendered in a data driven way with each constructed using a corresponding parameterized view component. The parameter(s) are populated by data, perhaps by model variables obtained from an analytical model. The parameters then drive logic associated with the view component to thereby construct a visual item which may then be rendered. The rendering engine then renders the visual item with the visual cue. The user may then interact with the rendered visual item. Such interaction might cause some external action to occur, might change which visual items are displayed, and / or might change a value of the input parameters of one or more view components used to generate displayed visual items.

A method of informed, multi-modal travel from one or more potential routes to a defined destination includes using real-time travel-related data relative to one or more inputs of present traffic flow, emergency events, special community events, weather, historic traffic-affecting trends, and parking conditions at an informed traveler's destination; providing at least one output of using an historical database of the above real time data; generating a spatial analysis of real-time traffic flow and other traffic data; applying predictive and analytic models having rule-based constraints to selective outputs of said steps; providing guidance as to time allowed for and directions to make intermodal transfers; accounting for personal and medical information supplied by the traveler; confirming authorized users by identity confirmation and management; and providing user and management wireless access portals to the informed traveler.

Methods and systems for analyzing XML documents. The system scans an XML document, identifies different dimensions that span the XML document and detects scoping relationships amongst them. The system uses the dimensional information to create a logical hierarchical scoped dimension analysis model, maps the logical XML tree to this model, and then implements the analytical method over the logical model. The logical model allows both structural features and numeric / non-numeric data to be used for analysis. The analytical method allows users to query irregular structural properties of the XML documents using the XPath navigational API.

The method of the invention is applicable to oil production to obtain the impact of technical and economic uncertainties on the economic profitability of a reservoir and / or to optimize the position of a new well in order to meet a development strategy. The invention includes in stage 1, uncertain technical parameters having an influence on the reservoir production are selected; in stage 2, an analytic model expressing the reservoir production in the course of time is determined as a function of the parameters selected in stage 1, from production values obtained by means of a flow simulator; and in stage 3, a model expressing the economic profitability of the reservoir is determined as a function of the technical and economic parameters, from the analytic model determined in stage 2.

A system and method for creating virtual flat customer records derived from database customer data that may be used as standardized input for analytical models. A Customer Analytic Record (“CAR”) application may be created as a database object to extract, transform, and format all of the customer data needed for customer segmentation and predictive modeling. The CAR may be a set of database views that are defined using virtual stored queries The CAR application may dynamically calculate additional variables using predetermined transformations, including custom transformations of an underlying behavior. The CAR is preferably a dynamic view of the customer record that changes whenever any update is made to the database. The definition of the CAR provides documentation of each data element available for use in models and analytics.

According to an embodiment of the present invention, a method for deriving an analytic model for a session-based system is provided. The method comprises receiving, by a model generator, client-access behavior information for the session-based system, wherein the session-based system comprises a plurality of interdependent transaction types. The method further comprises deriving, by the model generator, from the received client-access behavior information, a stateless transaction-based analytic model of the session-based system, wherein the derived transaction-based analytic model models resource requirements of the session-based system for servicing a workload. According to certain embodiments, the derived transaction-based analytic model is used for performing capacity analysis of the session-based system.

A system and method that does trustworthy multi-objective structural synthesis of analog circuits, and extracts expert analog circuit knowledge from the resulting tradeoffs. The system defines a space of thousands of possible topologies via a hierarchically organized combination of designer-trusted analog building blocks, the resulting topologies are guaranteed trustworthy. The system can perform a search based on a multi-objective evolutionary algorithm that uses an age-layered population structure to balance exploration vs. exploitation, with operators that make the search space a hybrid between vector-based and tree-based representations. A scheme employing average ranking on Pareto fronts is used to handle a high number of objectives. Good initial topology sizings are quickly generated via multi-gate constraint satisfaction. To explicitly capture expert analog design knowledge, data mining is employed on the sized circuits to: automatically generate a decision tree for navigating from performance specifications to topology choice, to do global nonlinear sensitivity analysis, and to generate analytical models of performance tradeoffs.

Certain example embodiments relate to using Complex Event Processing (CEP) techniques for statistical analysis of cache behavior and parameters, e.g., in connection with large, potentially heterogeneous data sets (e.g., “Big Data”). A dedicated stream mining operator registers a listener to a cache and receives notifications on cache operations. For selected element attributes, a first model estimates the probability density functions of the attribute values, delivering well-defined estimates of the attribute value distributions. A second model analyzes the time elements stay in the cache (“validity”). Validity is combined with the attribute value distribution. A meaningful analysis model (Cache Element Model) can be derived by combining additional summary statistics for the validity with the attribute value distribution, describing how long elements stay in the cache for attribute values of a specific region, and how the values are distributed. It may be used to inform administrative tasks such as, optimization of cache parameters.

Factor retrieving is a major approach for pulse wave analysis. Stiffness index and cardiac output are widely used factors for cardiac risk detection. Research has been done on clinical pulse wave data which are collected by pulse oximeter. The result shows that collected factors have a positive correlation with certain cardiac risks. Some adjustments have been applied on the algorithms that increase the significance. In addition to the factor based analysis, other signal processing techniques for pulse waveforms are included such as bispectrum estimation, Wavelet transform, and weighted dynamic time warping. Bispectrum estimation and Wavelet transform have meaningful features of pulse waveforms with some special shapes. Weighted dynamic time warping compares the similarity of waveforms. It also includes medical significance into the calculation by adjusting the weight vector. This algorithm has higher accuracy when providing more samples to compare. The factor based analysis and waveform analysis compose an analytic model which can be used for risk evaluation, classification and disease detection.

A system and method for creating virtual “flat” customer records derived from database customer data that may be used as standardized input for analytical models. A Customer Analytic Record (“CAR”) application may be created as a database object to extract, transform, and format all of the customer data needed for customer segmentation and predictive modeling. The CAR may be a set of database “views” that are defined using virtual stored queries and enabled using capabilities of a data base management system and a structured query language. The CAR is preferably a virtual “flat” record of the customer data needed for customer analytics. The customer data may be extracted by running one or more SQL queries against the database view(s). The CAR application may dynamically calculate additional variables using predetermined transformations, including custom transformations of an underlying behavior. If additional variables are created, the CAR may be modified to include the additional variables. The CAR is preferably a dynamic view of the customer record that changes whenever any update is made to the database. The definition of the CAR provides documentation of each data element available for use in models and analytics.

A method and system of detecting vulnerabilities in source code. Source code is parsed into an intermediate representation. Models are derived for the code and the models are then analyzed in conjunction with pre-specified rules about the routines to determine if the routines posses one or more of pre-selected vulnerabilities.