A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Searching time series with Hadoop in an electric power company
2013
Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining Algorithms, Systems, Programming Models and Applications - BigMine '13
In this paper, we investigate the possibilities offered by the Hadoop eco-system for searching time series in an electric power company (Top-K or range-queries based on a similarity measure). There has been much work done on speeding up the search of time series in a large dataset, mainly by designing efficient indexing techniques preceded by reduction techniques. In this paper, we do not follow these approaches but focus on using the brutal force of distributed computations in the Hadoop
doi:10.1145/2501221.2501224
dblp:conf/kdd/BerardH13
fatcat:w4j2entbhrbmdkkhpu7evw35ia