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- Information_Harvesting abstract "Information Harvesting (IH) was an early data mining product from the 1990s. It was invented by Ralphe Wiggins and produced by the Ryan Corp, later Information Harvesting Inc., of Cambridge, Massachusetts. IH sought to infer rules from sets of data. It did this first by classifying various input variables into one of a number of bins, thereby putting some structure on the continuous variables in the input. IH then proceeds to generate rules, trading off generalization against memorization, that will infer the value of the prediction variable, possibly creating many levels of rules in the process. It included strategies for checking if overfitting took place and, if so, correcting for it. Because of its strategies for correcting for overfitting by considering more data, and refining the rules based on that data, IH might also be considered to be a form of machine learning.The advantage of IH, as compared with other data mining products of its time and even later, was that it provided a mechanism for finding multiple rules that would classify the data and determining, according to set criteria, the best rules to use.In addition, the term "Information Harvesting" has occasionally been used as a generic term for any data mining product—thus the product has had an impact on the field that outlasted the life of the company that designed it.".
- Information_Harvesting wikiPageID "7688277".
- Information_Harvesting wikiPageRevisionID "580106920".
- Information_Harvesting hasPhotoCollection Information_Harvesting.
- Information_Harvesting subject Category:Data_mining_and_machine_learning_software.
- Information_Harvesting type Abstraction100002137.
- Information_Harvesting type Cognition100023271.
- Information_Harvesting type DataMiningAndMachineLearningSoftware.
- Information_Harvesting type Datum105816622.
- Information_Harvesting type Information105816287.
- Information_Harvesting type PsychologicalFeature100023100.
- Information_Harvesting comment "Information Harvesting (IH) was an early data mining product from the 1990s. It was invented by Ralphe Wiggins and produced by the Ryan Corp, later Information Harvesting Inc., of Cambridge, Massachusetts. IH sought to infer rules from sets of data. It did this first by classifying various input variables into one of a number of bins, thereby putting some structure on the continuous variables in the input.".
- Information_Harvesting label "Information Harvesting".
- Information_Harvesting sameAs m.0268y43.
- Information_Harvesting sameAs Q17092447.
- Information_Harvesting sameAs Q17092447.
- Information_Harvesting sameAs Information_Harvesting.
- Information_Harvesting wasDerivedFrom Information_Harvesting?oldid=580106920.
- Information_Harvesting isPrimaryTopicOf Information_Harvesting.