Hi Alex, thank you for the reply! I knew about the mention of "real-world", I was just asking if it's necessary..so it is.
Cheers, Mark On Wed, Feb 17, 2016 at 10:44 PM, Alex Lavin <[email protected]> wrote: > Hi Mark, > For the NAB competition we’re looking for real-world data only. This is > specified in the first line of the dataset category description: > > DATASET CATEGORY > > To enter the Dataset category, you must submit *real-world*, time-series > data with labeled anomalies. Deliverables include: > > - Data file(s) in CSV format > - one header row > - fields for "timestamp" (time at the end of the metric collection > window) and "value" (the metric as either float or integer) > - Anomaly labels — timestamps at which the anomalies start > - Description of the data and anomalies > > We will evaluate your dataset against the following characteristics: > > - meeting the requirements described above > - interesting types of anomalies > - relevance to real applications > - accuracy/quality of anomaly labels > - good challenges for detection algorithms > - quantity of data — the more files in your submission the better > - feasibility for algorithms to detect anomalies > - We can not expect noisy data without temporal patterns to be > valuable in evaluating algorithms, and thus this type of data will not > be > useful in NAB. > > Best, > Alex > > -- Marek Otahal :o)
