Abstract: A query processing system may include a query input interface, a query execution subsystem, a plurality of data analytics nodes, and a query response subsystem. The query execution subsystem may analyze a query data object identified via the query interface to produce a query object vector. Each of the data analytics nodes may compare each value in the query object vector with a respective value in each of a plurality of corpus data vectors to produce a proximity value indicating a distance between the query data object vector and the corpus object vector in a multidimensional vector space. The query response subsystem may provide a user interface in which each of a subset of the proximity values are presented in a spatial-temporal proximity representation.

Abstract: According to various embodiments, techniques and mechanisms described herein facilitate the identification of fraudulent request messages. In one example, a request message associated with a user identifier is received at a request server in a request system that includes a plurality of such request servers. An estimated message count value associated with the user identifier is identified. The estimated message count value identifies an estimated number of messages associated with the user identifier that were previously received by the request servers. A response message is transmitted when it is determined that the estimated message count is below a designated threshold.