A groundbreaking method for clearing the organizational roadblocks that keep you from doing your job and delivering results The chaos of everyday business forces people into an exhausting, ineffective, seemingly never-ending cycle of work-a...Loe edasi...
Learn to create your own forecasts with Excel: trends, cyclic data, forecast intervals and more! The classic techniques to have for any analytics professional Key Features Use and apply all the Excel forecasting functions to re...Loe edasi...
Focusing on the exploration of data with visual methods, Displaying Time Series, Spatial, and Space-Time Data with R presents methods and R code for producing high-quality static graphics, interactive visualizations, and animations, of time series...Loe edasi...
Focusing on the exploration of data with visual methods, the book presents methods and R code for producing high-quality static graphics, interactive visualizations, and animations, of time series, spatial, and space-time data. Practical examples...Loe edasi...
James Adler, Hans De Sterck, Scott MacLachlan, Luke Olson
Sari: Computational Science and Engineering
(Ilmumisaeg: 31-Jul-2025, Paperback / softback, Kirjastus: Society for Industrial & Applied Mathematics,U.S., ISBN-13: 9781611978278)
Numerical methods for approximating PDE solutions are presented in a rich exploration of discretization techniques such as finite-difference, finite-element, and finite-volume methods. Topics span foundational background, algorithmic strategies, lin...Loe edasi...
Computational Methods for Time-Series Analysis in Earth Sciences bridges the gap between theoretical knowledge and practical application, offering a deep dive into the utilization of R programming for managing, analyzing, and forecasting time-...Loe edasi...
Social processes operate at many temporal scales: decades, years, months, weeks, days, hours, minutes, and even seconds. With the advent of the Internet, social media, and other technologies, long sequences of time-series data are increasingly avail...Loe edasi...
Zoltán Gellér, Vladimir Kurbalija, Milo Radovanovi, Mirjana Ivanovi
Sari: Intelligent Systems Reference Library
(Ilmumisaeg: 27-Apr-2025, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031775260)
This book examines the impact of such constraints on elastic time-series similarity measures and provides guidance on selecting suitable measures. Time-series classification frequently relies on selecting an appropriate similarity or distance meas...Loe edasi...
Deep learning is an important element of artificial intelligence, especially in applications such as image classification in which various architectures of neural network, e.g., convolutional neural networks, have yielded reliable results. This bo...Loe edasi...
Master the fundamentals of time series analysis with Apache Spark and Databricks and uncover actionable insights at scale Key Features Quickly get started with your first models and explore the potential of Generative AI Learn...Loe edasi...
Time Series Forecasting Using Generative AI introduces readers to Generative Artificial Intelligence (Gen AI) in time series analysis, offering an essential exploration of cutting-edge forecasting methodologies.The book covers a...Loe edasi...
This book proposes some novel models based on the autoregressive and moving average structures under various distributional assumptions of the innovation series for analysing non-stationary bivariate time series of counts. Time series of count respo...Loe edasi...
This book presents a detailed description and application of multi-time scale time-frequency characterization tool for the spectral analysis of hydrological time series. It illustrates spectral analysis methods for hydrological applications through i...Loe edasi...
In this book, we explain the development of a new filtering method to estimate the hidden states of random variables for multiple non-stationary time series data. This method is particularly helpful in analyzing small-sample non-stationary macro-e...Loe edasi...
The book contains the most common as well as state-of-the-art methods in machine learning for time-series to take your understanding of time series to a new level. In addition to these comprehensive explanations, there are plenty of real-life exampl...Loe edasi...
