Method and tool for data mining in automatic decision making systems

Apparatus for studying a process having an associated empirical data set, the apparatus comprising:

• an object definer for converting user input into at least one cell having inputs and outputs,
• a relationship definer for converting user input into relationships associated with said cells such that each said relationships is associatable with said cells via one of said inputs and outputs,
• a quantifier for analyzing said associated empirical data set to assign quantitative values to said relationships and to associate said quantitative values with said associated inputs and outputs, thereby to generate a quantitative model.

Apparatus for constructing a predictive model for a process, the apparatus comprising:

• an object definer for converting user input into at least one cell having inputs and outputs,
• a relationship definer for converting user input into relationships associated with said cells such that each said relationships is associatable with said cells via one of said inputs and outputs,
• a quantifier for analyzing a data set relating to said process to be modeled to assign quantitative values to said relationships and to associate said quantitative values with said associated inputs and outputs, thereby to generate a model predictive of said process.

Apparatus for reduced dimension data mining comprising:

• an object definer for converting user input into at least one cell having inputs and outputs,
• a relationship definer for converting user input into relationships associated with said cells such that each said relationships is associatable with said cells via one of said inputs and outputs,
• a quantifier for analyzing a data set relating to a process to be modeled comprising a selective data finder to find data items associated with said relationships and ignore data items not related to said relationships, said quantifier being operable to use said found data to assign quantitative values to said relationships and to associate said quantitative values with said associated inputs and outputs.

A method of constructing a quantifiable model, comprising:

• converting user input into at least one cell having inputs and outputs,
• converting user input into relationships associated with said cells such that each said relationship is associated with said cells via one of said inputs and outputs,
• analyzing a data set to be modeled to assign quantitative values to said relationships and to associate said quantitative values with said associated inputs and outputs, thereby to generate a quantitative model.

A method for reduced dimension data mining comprising:

• converting user input into at least one cell having inputs and outputs,
• converting user input into relationships associated with said cells such that each said relationship is associated with said cells via one of said inputs and outputs,
• analyzing a data set relating to a process to be modeled comprising a finding data items associated with said relationships and ignoring data items not related to said relationships, and using said found data to assign quantitative values to said relationships and to associate said quantitative values with said associated inputs and outputs.

A knowledge engineering tool for verifying an alleged relationship pattern within a plurality of objects, the tool comprising

• a graphical object representation comprising a graphical symbolization of the objects and assumed interrelationships, said graphical symbolization including a plurality of interconnection cells each representing one of said objects, and inputs and outputs associated therewith, each qualitatively representing an alleged relationship, and
• a quantifier for analyzing a data set of said objects to assign quantitative values to said relationships and to associate said quantitative values with said alleged relationships, thereby to verify said alleged relationships.

A machine readable storage device, carrying data for the construction of:

• an object definer for converting user input into at least one cell having inputs and outputs,
• a relationship definer for converting user input into relationships associated with said cells such that each said relationships is associatable with said cells via one of said inputs and outputs, and
• a quantifier for analyzing a data set to be modeled to assign quantitative values to said relationships and to associate said quantitative values with said associated inputs and outputs, thereby to generate a quantitative model.

Apparatus for obtaining new information regarding a process having an associated empirical data set, the apparatus comprising:

• an object definer for converting user input into at least one cell having inputs and outputs,
• a relationship definer for converting user input into relationships associated with said cells such that each said relationships is associatable with said cells via one of said inputs and outputs,
• a quantifier for analyzing said associated empirical data set to assign quantitative values to said relationships and to associate said quantitative values with said associated inputs and outputs, thereby to generate a quantitative model, said quantitative values comprising new information of said process.