US 6,820,070 B2 · Method and tool for data mining in automatic decision making systems

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.

Claims36

Dependent claims

A method for automated decision-making comprising the steps of:

constructing a series of interconnection cells and using values obtained thereby as decision makers, said construction comprising:
a) modeling of relations between a plurality of objects in a system, each object having at least one outcome, each object being subjected to at least one influential factor affecting said at least one outcome and building said modeled relations as interconnections between said interconnection cells;
b) carrying out computerized 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, and constraining said data mining to relations modeled by said interconnections;
c) building a quantitative model to predict a score for said at least one outcome, by attributing values from said data mining to said relations;
and
d) making an output decision for said system according to said score of said at least one outcome of said at least one object.

3 more elements

An automatic decision-making system comprising:

a) a data mining tool for carrying out computerized data mining to analyze available data with respect to a system to find correlations between an outcome within said system and influential factors on the outcome;
b) a Knowledge-Tree map, associated with said data mining tool for modeling a system as a series of interconnection cells with connections therebetween to represent said correlations, said Knowledge-Tree map being configured to constrain said data mining tool to correlations mapped thereon, thereby to reduce a dimension of said data mining;
c) an empirical modeler, associated with said data mining tool and said Knowledge-Tree map to use quantitative values attached to said mapped connections by said data mining tool to predict a score of said outcome;
and,
d) a decision making tool, associated with said empirical modeler, to make decisions regarding said system in accordance with said score.

2 more elements

Dependencies are inferred from the claim text.

Method and tool for data mining in automatic decision making systems

Life of this patent

Method and tool for data mining in automatic decision making systems

Life of this patent

Abstract

Claims36