Symbolic Analysis of High Dimensional Time Series
Author : Karsten Keller
Publisher :
Page : 16 pages
File Size : 29,22 MB
Release : 2002
Category :
ISBN : 9783887225384
Author : Karsten Keller
Publisher :
Page : 16 pages
File Size : 29,22 MB
Release : 2002
Category :
ISBN : 9783887225384
Author : Paula Brito
Publisher : Springer Science & Business Media
Page : 619 pages
File Size : 41,61 MB
Release : 2007-08-27
Category : Computers
ISBN : 3540735585
This volume presents recent methodological developments in data analysis and classification. It covers a wide range of topics, including methods for classification and clustering, dissimilarity analysis, consensus methods, conceptual analysis of data, and data mining and knowledge discovery in databases. The book also presents a wide variety of applications, in fields such as biology, micro-array analysis, cyber traffic, and bank fraud detection.
Author : Fionn Murtagh
Publisher : CRC Press
Page : 207 pages
File Size : 36,69 MB
Release : 2017-09-22
Category : Computers
ISBN : 1315350491
"Data Science Foundations is most welcome and, indeed, a piece of literature that the field is very much in need of...quite different from most data analytics texts which largely ignore foundational concepts and simply present a cookbook of methods...a very useful text and I would certainly use it in my teaching." - Mark Girolami, Warwick University Data Science encompasses the traditional disciplines of mathematics, statistics, data analysis, machine learning, and pattern recognition. This book is designed to provide a new framework for Data Science, based on a solid foundation in mathematics and computational science. It is written in an accessible style, for readers who are engaged with the subject but not necessarily experts in all aspects. It includes a wide range of case studies from diverse fields, and seeks to inspire and motivate the reader with respect to data, associated information, and derived knowledge.
Author : Carsten Allefeld
Publisher : Nova Publishers
Page : 344 pages
File Size : 20,90 MB
Release : 2008
Category : Language Arts & Disciplines
ISBN : 9781604560220
What is the origin of meaning? How does the brain achieve symbolic computation? What are the neural correlates of cognitive processes? These challenging questions at the borderline between neuroscience, cognitive science, nonlinear dynamics, and philosophy are related to the symbol grounding problem: How is the meaning of words and utterances grounded in the dynamics of the brain and in the evolution of beings alive interacting with each other and with their environments? Simply by convention? Or is there an inherent correctness of names, of syllables, or even of sounds? This new book examines these important issues and presents probing analyses of the latest research.
Author : Francesco Masulli
Publisher : Springer
Page : 157 pages
File Size : 13,93 MB
Release : 2015-11-24
Category : Computers
ISBN : 366248577X
This book constitutes the proceedings of the International Workshop on Clustering High-Dimensional Data, CHDD 2012, held in Naples, Italy, in May 2012. The 9 papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with the general subject and issues of high-dimensional data clustering; present examples of techniques used to find and investigate clusters in high dimensionality; and the most common approach to tackle dimensionality problems, namely, dimensionality reduction and its application in clustering.
Author : Prithiviraj Muthumanickam
Publisher : Linköping University Electronic Press
Page : 58 pages
File Size : 23,20 MB
Release : 2019-11-25
Category :
ISBN : 9179299652
Data sources such as simulations, sensor networks across many application domains generate large volumes of time-series data which exhibit characteristics that evolve over time. Visual data analysis methods can help us in exploring and understanding the underlying patterns present in time-series data but, due to their ever-increasing size, the visual data analysis process can become complex. Large data sets can be handled using data abstraction techniques by transforming the raw data into a simpler format while, at the same time, preserving significant features that are important for the user. When dealing with time-series data, abstraction techniques should also take into account the underlying temporal characteristics. This thesis focuses on different data abstraction and pattern identification methods particularly in the cases of large 1D time-series and 2D spatio-temporal time-series data which exhibit spatiotemporal discontinuity. Based on the dimensionality and characteristics of the data, this thesis proposes a variety of efficient data-adaptive and user-controlled data abstraction methods that transform the raw data into a symbol sequence. The transformation of raw time-series into a symbol sequence can act as input to different sequence analysis methods from data mining and machine learning communities to identify interesting patterns of user behavior. In the case of very long duration 1D time-series, locally adaptive and user-controlled data approximation methods were presented to simplify the data, while at the same time retaining the perceptually important features. The simplified data were converted into a symbol sequence and a sketch-based pattern identification was then used to identify patterns in the symbolic data using regular expression based pattern matching. The method was applied to financial time-series and patterns such as head-and-shoulders, double and triple-top patterns were identified using hand drawn sketches in an interactive manner. Through data smoothing, the data approximation step also enables visualization of inherent patterns in the time-series representation while at the same time retaining perceptually important points. Very long duration 2D spatio-temporal eye tracking data sets that exhibit spatio-temporal discontinuity was transformed into symbolic data using scalable clustering and hierarchical cluster merging processes, each of which can be parallelized. The raw data is transformed into a symbol sequence with each symbol representing a region of interest in the eye gaze data. The identified regions of interest can also be displayed in a Space-Time Cube (STC) that captures both the temporal and contextual information. Through interactive filtering, zooming and geometric transformation, the STC representation along with linked views enables interactive data exploration. Using different sequence analysis methods, the symbol sequences are analyzed further to identify temporal patterns in the data set. Data collected from air traffic control officers from the domain of Air traffic control were used as application examples to demonstrate the results.
Author : S. Sitharama Iyengar
Publisher : CRC Press
Page : 751 pages
File Size : 32,95 MB
Release : 2016-04-19
Category : Computers
ISBN : 1439862834
The best-selling Distributed Sensor Networks became the definitive guide to understanding this far-reaching technology. Preserving the excellence and accessibility of its predecessor, Distributed Sensor Networks, Second Edition once again provides all the fundamentals and applications in one complete, self-contained source. Ideal as a tutorial for
Author : Gazzano, Julio Daniel Dondo
Publisher : IGI Global
Page : 331 pages
File Size : 43,68 MB
Release : 2016-07-05
Category : Technology & Engineering
ISBN : 1522503005
Field-Programmable Gate Array (FPGA) technologies have increased in popularity in recent years due to their adaptability and high computing potential. Further research in this area illustrates the potential for further advancements and applications of this useful technology. Field-Programmable Gate Array (FPGA) Technologies for High Performance Instrumentation presents experimental and theoretical research on FPGA-based design and the development of virtual scientific instrumentation that can be used by a broad segment of scientists across a variety of research fields. Focusing on crucial innovations and algorithms for signal processing, data acquisition mechanisms, FPGA-based hardware design, and parallel computing, this publication is a critical resource for researchers, development engineers, and graduate-level students.
Author : M Zuhair Nashed
Publisher : World Scientific
Page : 757 pages
File Size : 40,61 MB
Release : 2022-08-30
Category : Science
ISBN : 9811259410
Frontiers in Entropy Across the Disciplines presents a panorama of entropy emphasizing mathematical theory, physical and scientific significance, computational methods, and applications in mathematics, physics, statistics, engineering, biomedical signals, and signal processing.In the last century classical concepts of entropy were introduced in the areas of thermodynamics, information theory, probability theory, statistics, dynamical systems, and ergodic theory. During the past 50 years, dozens of new concepts of entropy have been introduced and studied in many disciplines. This volume captures significant developments in this arena. It features expository, review, and research papers by distinguished mathematicians and scientists from many disciplines. The level of mathematics ranges from intermediate level to research level. Each chapter contains a comprehensive list of references. Topics include entropy and society, entropy and time, Souriau entropy on symplectic model of statistical physics, new definitions of entropy, geometric theory of heat and information, maximum entropy in Bayesian networks, maximum entropy methods, entropy analysis of biomedical signals (review and comparison of methods), spectral entropy and its application to video coding and speech coding, a comprehensive review of 50 years of entropy in dynamics, a comprehensive review on entropy, entropy-like quantities and applications, topological entropy of multimodal maps, entropy production in complex systems, entropy production and convergence to equilibrium, reversibility and irreversibility in entropy, nonequilibrium entropy, index of various entropy, entropy and the greatest blunder ever.
Author : Herbert F. Jelinek
Publisher : CRC Press
Page : 497 pages
File Size : 43,55 MB
Release : 2017-09-11
Category : Mathematics
ISBN : 1482243482
Divided roughly into two sections, this book provides a brief history of the development of ECG along with heart rate variability (HRV) algorithms and the engineering innovations over the last decade in this area. It reviews clinical research, presents an overview of the clinical field, and the importance of heart rate variability in diagnosis. The book then discusses the use of particular ECG and HRV algorithms in the context of clinical applications.