Data Abstraction And Pattern Identification In Time Series Data

DOWNLOAD

Download Data Abstraction And Pattern Identification In Time Series Data PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Data Abstraction And Pattern Identification In Time Series Data book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Data Abstraction And Pattern Identification In Time Series Data

DOWNLOAD
Author : Prithiviraj Muthumanickam
language : en
Publisher: Linköping University Electronic Press
Release Date : 2019-11-25

Data Abstraction And Pattern Identification In Time Series Data written by Prithiviraj Muthumanickam and has been published by Linköping University Electronic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-25 with categories.

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.

Pattern Recognition And Classification In Time Series Data

DOWNLOAD
Author : Volna, Eva
language : en
Publisher: IGI Global
Release Date : 2016-07-22

Pattern Recognition And Classification In Time Series Data written by Volna, Eva and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-22 with Computers categories.

Patterns can be any number of items that occur repeatedly, whether in the behaviour of animals, humans, traffic, or even in the appearance of a design. As technologies continue to advance, recognizing, mimicking, and responding to all types of patterns becomes more precise. Pattern Recognition and Classification in Time Series Data focuses on intelligent methods and techniques for recognizing and storing dynamic patterns. Emphasizing topics related to artificial intelligence, pattern management, and algorithm development, in addition to practical examples and applications, this publication is an essential reference source for graduate students, researchers, and professionals in a variety of computer-related disciplines.

Computer And Information Sciences Iscis 2006

DOWNLOAD
Author : Albert Levi
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-10-24

Computer And Information Sciences Iscis 2006 written by Albert Levi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-10-24 with Computers categories.

This book constitutes the refereed proceedings of the 21st International Symposium on Computer and Information Sciences, ISCIS 2006, held in Istanbul, Turkey in October 2006. The 106 revised full papers presented together with five invited lectures were carefully reviewed and selected from 606 submissions.

Machine Learning And Data Mining In Pattern Recognition

DOWNLOAD
Author : Petra Perner
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-06-25

Machine Learning And Data Mining In Pattern Recognition written by Petra Perner and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-06-25 with Computers categories.

TheInternationalConferenceonMachineLearningandDataMining(MLDM)is the third meeting in a series of biennial events, which started in 1999, organized by the Institute of Computer Vision and Applied Computer Sciences (IBaI) in Leipzig. MLDM began as a workshop and is now a conference, and has brought the topic of machine learning and data mining to the attention of the research community. Seventy-?ve papers were submitted to the conference this year. The program committeeworkedhardtoselectthemostprogressiveresearchinafairandc- petent review process which led to the acceptance of 33 papers for presentation at the conference. The 33 papers in these proceedings cover a wide variety of topics related to machine learning and data mining. The two invited talks deal with learning in case-based reasoning and with mining for structural data. The contributed papers can be grouped into nine areas: support vector machines; pattern dis- very; decision trees; clustering; classi?cation and retrieval; case-based reasoning; Bayesian models and methods; association rules; and applications. We would like to express our appreciation to the reviewers for their precise andhighlyprofessionalwork.WearegratefultotheGermanScienceFoundation for its support of the Eastern European researchers. We appreciate the help and understanding of the editorial sta? at Springer Verlag, and in particular Alfred Hofmann,whosupportedthepublicationoftheseproceedingsintheLNAIseries. Last, but not least, we wish to thank all the speakers and participants who contributed to the success of the conference.

Advanced Computing

DOWNLOAD
Author : Deepak Garg
language : en
Publisher: Springer Nature
Release Date : 2023-07-13

Advanced Computing written by Deepak Garg and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-13 with Computers categories.

This two-volume set constitutes reviewed and selected papers from the 12th International Advanced Computing Conference, IACC 2022, held in Hyderabad, India, in December 2022. The 72 full papers and 6 short papers presented in the volume were thorougly reviewed and selected from 415 submissions. The papers are organized in the following topical sections: ​AI in industrial applications; application of AI for disease classification and trend analysis; design of agricultural applications using AI; disease classification using CNN; innovations in AI; system security and communication using AI; use of AI in human psychology; use of AI in music and video industries.

Communication Networks And Computing

DOWNLOAD
Author : Shekhar Verma
language : en
Publisher: Springer
Release Date : 2018-10-10

Communication Networks And Computing written by Shekhar Verma and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-10 with Computers categories.

This book (CCIS 839) constitutes the refereed proceedings of the First International Conference on Communication, Networks and Computings, CNC 2018, held in Gwalior, India, in March 2018. The 70 full papers were carefully reviewed and selected from 182 submissions. The papers are organized in topical sections on wired and wireless communication systems, high dimensional data representation and processing, networks and information security, computing techniques for efficient networks design, electronic circuits for communication system.

Behavioral Analytics In Social And Ubiquitous Environments

DOWNLOAD
Author : Martin Atzmueller
language : en
Publisher: Springer Nature
Release Date : 2019-11-18

Behavioral Analytics In Social And Ubiquitous Environments written by Martin Atzmueller and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-18 with Computers categories.

The 7 papers presented in this book are revised and significantly extended versions of papers submitted to three related workshops: 6th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2015, held in Porto, Portugal, September 2015, in conjunction with the 6th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2015; 6th International Workshop on Modeling Social Media, MSM 2015, held in Florence, Italy, May 2015, in conjunction with the 24th International World Wide Web Conference, WWW 2015; 7th International Workshop on Modeling Social Media, MSM 2016, Montreal, QC, Canada, April 2016, in conjunction with the 25th International World Wide Web Conference, WWW 2016.

Data Science

DOWNLOAD
Author : Jing He
language : en
Publisher: Springer Nature
Release Date : 2020-02-01

Data Science written by Jing He and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-01 with Computers categories.

This book constitutes the refereed proceedings of the 6th International Conference on Data Science, ICDS 2019, held in Ningbo, China, during May 2019. The 64 revised full papers presented were carefully reviewed and selected from 210 submissions. The research papers cover the areas of Advancement of Data Science and Smart City Applications, Theory of Data Science, Data Science of People and Health, Web of Data, Data Science of Trust and Internet of Things.

Communications Signal Processing And Systems

DOWNLOAD
Author : Qilian Liang
language : en
Publisher: Springer Nature
Release Date : 2020-04-04

Communications Signal Processing And Systems written by Qilian Liang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-04 with Technology & Engineering categories.

This book brings together papers from the 2019 International Conference on Communications, Signal Processing, and Systems, which was held in Urumqi, China, on July 20–22, 2019. Presenting the latest developments and discussing the interactions and links between these multidisciplinary fields, the book spans topics ranging from communications to signal processing and systems. It is chiefly intended for undergraduate and graduate students in electrical engineering, computer science and mathematics, researchers and engineers from academia and industry, as well as government employees.

Methods For Analyzing And Leveraging Online Learning Data

DOWNLOAD
Author : Hai-Jew, Shalin
language : en
Publisher: IGI Global
Release Date : 2018-10-05

Methods For Analyzing And Leveraging Online Learning Data written by Hai-Jew, Shalin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-05 with Education categories.

While online learning continues to be a rapidly expanding field of research, analyzing data allows educational institutions to fine tune their curriculum and teaching methods. Properly utilizing the data, however, becomes difficult when taking into account how socio-technical systems are used, the administration of those systems, default settings, how data is described and captured, and other factors. Methods for Analyzing and Leveraging Online Learning Data is a pivotal reference source that provides vital research on the application of data in online education for improving a system’s capabilities and optimizing it for teaching and learning. This publication explores data handling, cleaning, analysis, management, and representation, as well as the methods of effectively and ethically applying data research. Tying together education and information science with special attention paid to informal learning, online assessment, and social media, this book is ideally designed for educational administrators, system developers, curriculum designers, data analysts, researchers, instructors, and graduate-level students seeking current research on capturing, analyzing, storing, and sharing data-analytic insights regarding online learning environments.