Abstract: There is a need for more effective and efficient seasonally-adjusted predictive data analysis solutions. This need can be addressed by, for example, solutions for performing seasonally-adjusted predictive data analysis that use autoregressive integrated moving average (ARIMA) machine learning models.

Abstract: There is a need for more effective and efficient seasonally-adjusted predictive data analysis solutions. This need can be addressed by, for example, solutions for performing seasonally-adjusted predictive data analysis that use autoregressive integrated moving average (ARIMA) machine learning models.

Abstract: A system and method for receiving, processing, and storing electronic data transmitted in the vertical blanking interval of a video signal. The system provides a flexible mechanism for reading electronic data from video signals including those in National Television Systems Committee (NTSC) and Phase Alternation by Line (PAL) formats. Some implementations provide for receiving electronic programming guide data transmitted at a single byte rate or at multiple byte rates. The data is stored on a computer-readable medium such as a hardrive for further processing and use.