Collaborative Predictive Model Building
First Claim
1. A method executed in a computer system for estimating a probability that a future event will occur based on user input, the method comprises:
- decomposing a data input stream to build a database of precursor data to build at least one predictive model;
building a database of at least one model generated by a model building process using the precursor data in the database, with the at least one model being a model that produces predictions of the likelihood of an event occurring in the future based on analysis of data in the database; and
storing the at least one model in a second database that stores models, with the database being searchable, to permit the models in the database to be accessed by users.
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Abstract
Techniques for estimating a probability that a future event will occur based on user input includes decomposing a data input stream to build a database of precursor data to build at least one predictive model, building a database of at least one model generated by a model building process using the precursor data in the database, with the at least one model being a model that produces predictions of the likelihood of an event occurring in the future based on analysis of data in the database and storing the at least one model in a second database that stores models, with the database being searchable, to permit the models in the database to be accessed by users. Also disclosed are techniques in which by using a search engine to search a database of models to find a model and a user can query a found model to develop an inference of the likelihood of a future event.
91 Citations
34 Claims
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1. A method executed in a computer system for estimating a probability that a future event will occur based on user input, the method comprises:
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decomposing a data input stream to build a database of precursor data to build at least one predictive model; building a database of at least one model generated by a model building process using the precursor data in the database, with the at least one model being a model that produces predictions of the likelihood of an event occurring in the future based on analysis of data in the database; and storing the at least one model in a second database that stores models, with the database being searchable, to permit the models in the database to be accessed by users. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A method executed in a computer system, the method comprises:
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using a search engine to search a database of models to find a model; and querying the model to develop an inference of the likelihood of a future event. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27)
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28. A computer program product tangibly embodied in a computer readable medium for estimating a probability that a future event will occur based on user input, the computer program product comprises instructions for causing a computer to:
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decompose a data input stream to build a database of precursor data to build at least one predictive model; build a database of at least one model generated by a model building process using the precursor data in the database, with the at least one model being a model that produces predictions of the likelihood of an event occurring in the future based on analysis of data in the database; and store the at least one model in a second database that stores models, with the database being searchable, to permit the models in the database to be accessed by users. - View Dependent Claims (29, 30, 31, 32)
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33. A computer program product tangibly embodied in a computer readable medium for estimating a probability that a future event will occur based on user input, the computer program product comprises instructions for causing a computer to:
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use a search engine to search a database of models to find a model; and query the model to develop an inference of the likelihood of a future event. - View Dependent Claims (34)
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Specification