Synthetic temporal dataset for temporal trend analysis and retrieval

This repository contains a synthetic, temporal data set that was generated
by the authors by sampling values from the Gaussian distribution. The
dataset contains eight nontemporal dimensions, a temporal dimension, and a
numerical measure attribute. The data set was generated according to the
scheme and procedure detailed in this source paper: Kaufmann, M., Fischer,
P.M., May, N., Tonder, A., Kossmann, D. (2014). TPC-BiH: A Benchmark for
Bitemporal Databases. In: Performance Characterization and Benchmarking.
TPCTC 2013. Lecture Notes in Computer Science, vol 8391. Springer,
Cham. The data set can be used for analyzing and locating
temporal trends of interest, where a temporal trend is generated by
selecting the desired values of the nontemporal dimensions, and then
selecting the corresponding values of the temporal dimension and the
numerical measure attribute. Locating temporal trends of interest, e.g.,
unusual trends, is a common task in many applications and domains. It can
also be of interest to understand which nontemporal dimensions are
associated with the temporal trends of interest. To this end, the data set
can be used for analyzing and locating temporal trends in the data cube
induced by the data set.