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.