Microsoft Technology Licensing, LLC

Kevin Michael Ellis

Sumit Gulwani

Daniel Galen Simmons

Kevin David James Grealish

Ranvijay Kumar

Saswat Padhi

A method for generating a smaller dataset from a larger dataset, each dataset holding a plurality of records, includes profiling the larger dataset to identify a plurality of patterns, each of which is descriptive of one or more records held in the larger dataset. A plurality of slots of the smaller dataset is filled with records held in the larger dataset. Multiple records held in the larger dataset are individually retrieved, and for each retrieved record it is determined whether to place the retrieved record into a slot of the smaller dataset and evict a record already occupying that slot, or not place the retrieved record into the smaller dataset. This determination is based on a pattern of the retrieved record and a representation status of the pattern in the smaller dataset.

Record profiling for dataset sampling

Technologies for narrowing the choices for programs that each comply with example behaviors provided by a user in programming by example. Even if the user provides insufficient behavior examples to precisely identify a program that should be used, the system still uses program behavior features (along with potentially structure features) of the program in order to identify suitability of each program that would comply with the specific set of behavior examples. A particular program is then selected and enabled for that user so that the particular program performs behaviors exemplified by the one or more program behavior examples. In the case where user assistance is used in selection of the program, the suitability for each possible program may be used to decide which of multiple possible programs should be made selectable by the user. Those higher suitability programs might be visualized to the user for selection.

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Kevin Michael Ellis