Method and tool for data mining in automatic decision making systems
First Claim
1. A method for automated decision-making comprising the steps of:
- (a) modeling of relations between a plurality of objects, each object having at least one outcome, each object being subjected to at least one influential factor affecting said at least one outcome;
(b) data mining in datasets associated with said modeled relations between said at least one outcome and said at least one influential factor of at least one said object;
(c) building a quantitative model to predict a score for said at least one outcome, and (d) making a decision according to said score of said at least one outcome of said at least one object.
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Abstract
In an automatic decision-making system, a method and a tool for the reduction of the dimension of data mining, which is automatically coupled to an empirical predictor of the system. The method includes a qualitative modeling of the interrelations between various objects whose attributes are relevant to a score made by the predictor according to which decisions are made, wherein this relevancy is determined by an input of a domain expert to the problem in hand. The model is called a Knowledge-Tree and its conclusions are represented by a graphical symbolization called the Knowledge-Tree map. Data mining, which follows the construction of the Knowledge-Tree map regards only datasets which are associated with logical and validated branches of the knowledge tree. Because the expert input which reduces the dimension of data mining was completed prior to data mining, interception by human reasoning is not needed after data mining and the decision making process can proceed automatically.
69 Citations
37 Claims
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1. A method for automated decision-making comprising the steps of:
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(a) modeling of relations between a plurality of objects, each object having at least one outcome, each object being subjected to at least one influential factor affecting said at least one outcome;
(b) data mining in datasets associated with said modeled relations between said at least one outcome and said at least one influential factor of at least one said object;
(c) building a quantitative model to predict a score for said at least one outcome, and (d) making a decision according to said score of said at least one outcome of said at least one object. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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- 13. A knowledge engineering tool for describing a relationship pattern among plurality of objects comprising a graphical symbolization of the objects and their assumed interactions, said graphical symbolization including at least one interconnection cell which represents a component of a system whose relationship pattern is described by the knowledge engineering tool.
- 28. A computer usable medium having a computer readable program code, the program code uses a graphical representation of a Knowledge-Tree map to generate a knowledge base in a data storage region of a computer.
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34. An automatic decision-making system comprising of:
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(a) a data mining tool for correlating between an outcome and an influential factor on the outcome;
(b) a Knowledge-Tree map to reduce a dimension of said data mining;
(c) an empirical modeler to predict a score of said outcome and, (d) a decision making tool in accordance with said score. - View Dependent Claims (35, 36, 37)
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Specification