D. Kulkarni and H. A. Simon. The process of scientific discovery: The strategy of experimentation. Cognitive Science, 12:139--175, 1988.

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Discovery of Data Evolution Regularities in Large Databases - Jiawei Han (1994)   (2 citations)  (Correct)

....learning algorithms [27, 18] As shown in our study, attribute oriented induction can learn disjunctive rules and handle exceptional cases elegantly by incorporating statistical techniques in the learning process. Moreover, incremental learning has been developed in many learning algorithms [15, 28]. When a new tuple is inserted into a database relation, rather than restarting the learning process from the beginning, it is preferable to amend and fortify what was learned from the previous data [28] Our algorithms can be easily extended to perform this kind of incremental learning. Let the ....

....process. Moreover, incremental learning has been developed in many learning algorithms [15, 28] When a new tuple is inserted into a database relation, rather than restarting the learning process from the beginning, it is preferable to amend and fortify what was learned from the previous data [28]. Our algorithms can be easily extended to perform this kind of incremental learning. Let the generalized relation be stored in the database. When new data are inserted into a database, the concepts of the new tuple are first generalized to the level of the rules which have been learned. Then the ....

D. Kulkarni and H. A. Simon. The process of scientific discovery: The strategy of experimentation. Cognitive Science, 12:139--175, 1988.

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