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The NN-3 Competition found that the best ANN-based forecasts performed comparably with the best known forecasting methods, but were far more computationally intensive. It was also noted that many ANN-based techniques fared considerably worse than simple forecasting methods, despite greater theoretical potential for good performance.
Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
It included two tracks: a hierarchical load forecasting track and a wind power forecasting track; both opened to contestants in September 2012. [9] [10] More than 200 teams submitted more than 2,000 entries focusing on hierarchical load forecasting and wind power forecasting. The winners were announced by the IEEE Power & Energy Society (one of ...
The original model uses an iterative three-stage modeling approach: Model identification and model selection: making sure that the variables are stationary, identifying seasonality in the dependent series (seasonally differencing it if necessary), and using plots of the autocorrelation (ACF) and partial autocorrelation (PACF) functions of the dependent time series to decide which (if any ...
Forecasting skill metric and score calculations should be made over a large enough sample of forecast-observation pairs to be statistically robust. A sample of predictions for a single predictand (e.g., temperature at one location, or a single stock value) typically includes forecasts made on a number of different dates.
SMS messages collected between two users, with timing analysis. ~ 10,000 XML NLP 2011 [71] KAN, M Reddit All Comments Corpus All Reddit comments (as of 2015). ~ 1.7 billion JSON NLP, research 2015 [72] Stuck_In_the_Matrix Ubuntu Dialogue Corpus Dialogues extracted from Ubuntu chat stream on IRC. 930 thousand dialogues, 7.1 million utterances CSV
Marketing mix modeling (MMM) is an analytical approach that uses historic information to quantify impact of marketing activities on sales. Example information that can be used are syndicated point-of-sale data (aggregated collection of product retail sales activity across a chosen set of parameters, like category of product or geographic market) and companies’ internal data.
The grid-based technique is used for a multi-dimensional data set. [18] In this technique, we create a grid structure, and the comparison is performed on grids (also known as cells). The grid-based technique is fast and has low computational complexity. There are two types of grid-based clustering methods: STING and CLIQUE.