ANGOSS DATA MINING PDF

KnowledgeSTUDIO provides you with advanced data mining and predictive analytics capabilities for all phases of the model development and deployment cycle. Angoss Software Corporation, headquartered in Toronto, Ontario, Canada, with offices in the KnowledgeSTUDIO is a data mining and predictive analytics suite for the model development and deployment cycle. Its features include data. Angoss provides data mining software and services designed to aid in business decision-making. The company’s applicatins are used to track and manage data .

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More approvals means more revenue in interest but the user needs the correct thresholds for write offs. This is so that Edit Splits can be performed without changing the sub-nodes. Following this overview, a more detailed description of aspects of the method is provided. The root node is split on credit score With respect to integration with other applications, any application can call the server The method may further include deploying the strategy by providing one or more of the segments, calculated values, and responses to a client system coupled to the data mining system over a network in response to a request from the client system.

The user can also right click to access commands such as Find Split, Force Split, etc. For example, in a credit limit increase strategy, a user may wish to apply the proposed treatments in this example, line increase amounts to the study dataset from which new analytics can be based. If the user is looking for sales performance by region, the user can index the nodes to show how each compares as a percentage of the total sales located in the entire population. The system creates the new column, which is now available on the dataset.

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However, the strategy tree module allows a user to formulate the necessary business rules and model cutoff points to take action. Treatment The treatment as entered when assigning treatments.

Angoss – Wikipedia

For example, a user may have a fixed budget or limited call center capacity. In contrast, predictive models are typically generated automatically with an algorithm by applying mathematics to historic data. A method to generate computer code to interact with a dataset in a data mining system, comprising the steps of: The first step also allows a user to select a strategy tree e. If it detects that the calculations of the model no longer match the dataset as they would in this flowa warning that the model references a changed calculation is displayed.

Typically, the user must map the field names of the input source to the field names of the model. By default, only the calculation valueis displayed. Segments are not directly and easily connected to cost, profit, and other business drivers. The dialog allows a user to preserve the existing split if there is one. For example, again in a collections strategy, the call center can make only so many outbound calls. Comparisons will be easier if the user changes the calculation to use average which should be a valid comparison regardless of the size of the datasets.

Automated model building and evaluation for data mining system. The strategy module is linked to the mining view in such manner that if the mining view is updated the strategy view can also be updated.

FIELD OF THE INVENTION

For example, strategy trees support a color binding for each treatment as one coloring option. A user can toggle view tagged nodes only Fields that are ignored in the tree model, but present in the dataset can be referenced in the expression.

If ticked, the user can enter a number that represents the maximum on the Y-Axis. This is because it takes some time to recomputed the weights on large datasets. The height of the barsdisplayed is the value of the node calculation The anyoss tree module also includes a profile chart function.

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If it is being written to a database, the database information is collected.

Strategy trees for data mining – ANGOSS SOFTWARE CORPORATION

Thus, in a GUI based system, a mouse typically controls the position of a cursor icon that is displayed on the display screen mininy A user typically interacts with a GUI presented on a display by using an input or pointing device e. The joined node can be further split with the Force Split and Find Split commands. Treatment selections are saved and automatically displayed when the tree is re-opened.

It is up to the user to interpret the differences, understand the meanings, and make adjustments. If the user is testing the strategy for statistical validity, then typically the user will partition the dataset into two randomly separated datasets; one for design and the other for verification.

Sixth, exposing the angoes of a aangoss as a service to the data mining systemeliminates recoding steps manual or otherwise. It defaults to all treatments.

Tenth, by associating treatments with data ranges, offers can automatically be kining in and out of a strategy design. These functions are accomplished by comparing node calculations e. The method of claim 1 wherein the GUI includes a respective editor for defining each of the conditional, calculation, and treatment expressions and a code generation function to generate the respective first computer code, second computer code and third computer code.

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