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What is Time Series

Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques
a time series is a sequence of data points, measured typically at successive times, spaced at time intervals.
Published in Chapter:
Applications of Evolutionary Neural Networks for Sales Forecasting of Fashionable Products
Yong Yu (The Hong Kong Polytechnic University, Hong Kong), Tsan-Ming Choi (The Hong Kong Polytechnic University, Hong Kong), Kin-Fan Au (The Hong Kong Polytechnic University, Hong Kong), and Zhan-Li Sun (The Hong Kong Polytechnic University, Hong Kong)
DOI: 10.4018/978-1-60566-766-9.ch018
Abstract
The evolutionary neural network (ENN), which is the hybrid combination of evolutionary computation and neural network, is a suitable candidate for topology design, and is widely adopted. An ENN approach with a direct binary representation to every single neural network connection is proposed in this chapter for sales forecasting of fashionable products. In this chapter, the authors will first explore the details on how an evolutionary computation approach can be applied in searching for a desirable network structure for establishing the appropriate sales forecasting system. The optimized ENN structure for sales forecasting is then developed. With the use of real sales data, the authors compare the performances of the proposed ENN forecasting scheme with several traditional methods which include artificial neural network (ANN) and SARIMA. The authors obtain the conditions in which their proposed ENN outperforms other methods. Insights regarding the applications of ENN for forecasting sales of fashionable products are generated. Finally, future research directions are outlined.
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Forecasting Techniques for Energy Optimization in Buildings
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.
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Statistical Model Selection for Seasonal Big Time Series Data
A sequence of observations recorded over time.
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Chaotic Systems and Their Recent Implementations on Improving Intelligent Systems
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Neural Network Time Series Forecasting Using Recency Weighting
Time series is a sequence of data points in time order, usually taken in uniform intervals.
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Big Data Time Series Stream Data Segmentation Methods
A series of values of a quantity obtained at successive times, often with equal intervals between them.
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Investigating the Pixel Quality Influence on Forecasting Vegetation Change Dynamics: Application Case of Tunisian Olive Sites
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Introduction to Python and Its Statistical Applications
Time series is a series of data points that are listed in time order.
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Segmenting Big Data Time Series Stream Data
A series of values of a quantity obtained at successive times, often with equal intervals between them.
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Querying of Time Series for Big Data Analytics
A sequence of data points consisting of consecutive measurements that are made over a time interval.
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Soft Computing Based Statistical Time Series Analysis, Characterization of Chaos Theory, and Theory of Fractals
A sequence of numerical values of a variable obtained at some regular/uniform intervals of time or at non uniform intervals of time.
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Similarity Search in Time Series
It is composed of a sequence of values, where each value corresponds to a time instance. The length remains constant.
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India-BIMSTEC Bilateral Trade Activities: A Gravity Model Approach
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.
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