Hewlett Packard Enterprise Development LP

Omar Aguilar

Mehran Kafai

Hongwei Shang

Kave Eshghi

April Slayden Mitchell

Examples disclosed herein involve data stream analytics. In examples herein, a data stream may be analyzed by computing a set of hashes of a real-valued vector, the real-valued vector corresponding to a sample data object of a data stream; generating a list of data objects from a database corresponding to the sample data object based on the set of hashes, the list of data objects ordered based on similarity of the data objects to the sample data object of the data stream; and updating a data structure representative of activity of the sample data object in the data stream based on the list of data objects, the data structure to provide incremental analysis corresponding to the sample data object.

Data stream analytics

Automatic selection of neighbor lists to be incrementally updated is disclosed. One example is a system including an indexing module to receive an incoming data stream, and retrieve neighbor lists for received data objects. An evaluator determines similarity measures between pairs of the received data objects. A threshold determination module determines distributions of order statistics based on the determined similarity measures and retrieved neighbor lists, and a threshold based on the distributions of order statistics. The evaluator determines additional similarity measures between a new data object in the data stream and the received data objects. A neighbor update module automatically selects a sub-plurality of the received data objects by comparing the additional similarity measures to the threshold, and determines, for each selected data object, if the respective retrieved neighbor list is to be incrementally updated based on neighborhood comparisons for the new data object and the selected data object.

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Tlaquepaque, Mexico

Omar Aguilar