Time series data indexing for behavior analysis
Alpha Visum has created algorithm that can convert time series data of
any length into one single index that will contain main behavioral features
of original data. Indexes can be used as a single parameter to help easily
search, group, filter, find anomalies or forecast time series based on data
behavior within large datasets. Technology is easy to access and integrate
without interfering existing infrastructures as it is built as cloud computing
services using API technologies that allows to process data at high speed and scale requests in the real time without any limitations.
Alpha Visum, SIA
Lašu iela 5 – 60, Jūrmala, LV-2010, Latvia
+371 26660777
info@alphavisum.com