22 May 2018

Data Science: Time Series (Definitions)

"It is composed of a sequence of values, where each value corresponds to a time instance. The length remains constant." (Maria Kontaki et al, "Similarity Search in Time Series",  2009)

"a time series is a sequence of data points, measured typically at successive times, spaced at time intervals." (Yong Yu et al, "Applications of Evolutionary Neural Networks for Sales Forecasting of Fashionable Products", 2010)

"A sequence of numerical values of a variable obtained at some regular/uniform intervals of time or at non uniform intervals of time." (Mofazzal H Khondekar et al, "Soft Computing Based Statistical Time Series Analysis, Characterization of Chaos Theory, and Theory of Fractals", 2013)

"A series of values of a quantity obtained at successive times, often with equal intervals between them." (Dima Alberg & Zohar Laslo, "Segmenting Big Data Time Series Stream Data", 2014) 

"An ordered sequence of values that correspond to a variable that is typically sampled at a uniform sampling rate. Time series prediction is intended to make estimations about the future values of the series." (Fernando Mateo et al, "Forecasting Techniques for Energy Optimization in Buildings", 2015)

"A sequence of data points consisting of consecutive measurements that are made over a time interval." (Vasileios Zois, "Querying of Time Series for Big Data Analytics", 2016)

"A series of values of a quantity obtained at successive times, often with equal intervals between them." (Dima Alberg, "Big Data Time Series Stream Data Segmentation Methods", Encyclopedia of Information Science and Technology, 2018)

"A time series is a sequence of values, usually taken in equally spaced intervals. […] Essentially, anything with a time dimension, measured in regular intervals, can be used for time series analysis." (Andy Kriebel & Eva Murray, "#MakeoverMonday: Improving How We Visualize and Analyze Data, One Chart at a Time", 2018)

"A series of data points indexed (or listed or graphed) in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time." (Gurpreet Kaur & Akriti Gupta, "India-BIMSTEC Bilateral Trade Activities: A Gravity Model Approach", 2020)

"Time series is a series of data points that are listed in time order." (Siyu Shi, "Introduction to Python and Its Statistical Applications", 2020)

"A set of successive observations collected generally at the same interval, named period." (Oumayma Bounouh et al, "Investigating the Pixel Quality Influence on Forecasting Vegetation Change Dynamics: Application Case of Tunisian Olive Sites", 2021)

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