Extracting Knowledge From Time Series

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Extracting Knowledge From Time Series

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Author : Boris P. Bezruchko
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-03

Extracting Knowledge From Time Series written by Boris P. Bezruchko 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 2010-09-03 with Science categories.

Mathematical modelling is ubiquitous. Almost every book in exact science touches on mathematical models of a certain class of phenomena, on more or less speci?c approaches to construction and investigation of models, on their applications, etc. As many textbooks with similar titles, Part I of our book is devoted to general qu- tions of modelling. Part II re?ects our professional interests as physicists who spent much time to investigations in the ?eld of non-linear dynamics and mathematical modelling from discrete sequences of experimental measurements (time series). The latter direction of research is known for a long time as “system identi?cation” in the framework of mathematical statistics and automatic control theory. It has its roots in the problem of approximating experimental data points on a plane with a smooth curve. Currently, researchers aim at the description of complex behaviour (irregular, chaotic, non-stationary and noise-corrupted signals which are typical of real-world objects and phenomena) with relatively simple non-linear differential or difference model equations rather than with cumbersome explicit functions of time. In the second half of the twentieth century, it has become clear that such equations of a s- ?ciently low order can exhibit non-trivial solutions that promise suf?ciently simple modelling of complex processes; according to the concepts of non-linear dynamics, chaotic regimes can be demonstrated already by a third-order non-linear ordinary differential equation, while complex behaviour in a linear model can be induced either by random in?uence (noise) or by a very high order of equations.

Progress In Artificial Intelligence Knowledge Extraction Multi Agent Systems Logic Programming And Constraint Solving

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Author : Pavel Brazdil
language : en
Publisher: Springer
Release Date : 2003-07-31

Progress In Artificial Intelligence Knowledge Extraction Multi Agent Systems Logic Programming And Constraint Solving written by Pavel Brazdil and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-07-31 with Computers categories.

The tenth Portuguese Conference on Arti?cial Intelligence, EPIA 2001 was held in Porto and continued the tradition of previous conferences in the series. It returned to the city in which the ?rst conference took place, about 15 years ago. The conference was organized, as usual, under the auspices of the Portuguese Association for Arti?cial Intelligence (APPIA, http://www.appia.pt). EPIA maintained its international character and continued to provide a forum for p- senting and discussing researc h on di?erent aspects of Arti?cial Intelligence. To promote motivated discussions among participants, this conference streng- ened the role of the thematic workshops. These were not just satellite events, but rather formed an integral part of the conference, with joint sessions when justi?ed. This had the advantage that the work was presented to a motivated audience. This was the ?rst time that EPIA embarked on this experience and so provided us with additional challenges.

Extracting Knowledge From Opinion Mining

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Author : Agrawal, Rashmi
language : en
Publisher: IGI Global
Release Date : 2018-09-07

Extracting Knowledge From Opinion Mining written by Agrawal, Rashmi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-07 with Computers categories.

Data mining techniques are commonly used to extract meaningful information from the web, such as data from web documents, website usage logs, and hyperlinks. Building on this, modern organizations are focusing on running and improving their business methods and returns by using opinion mining. Extracting Knowledge From Opinion Mining is an essential resource that presents detailed information on web mining, business intelligence through opinion mining, and how to effectively use knowledge retrieved through mining operations. While highlighting relevant topics, including the differences between ontology-based opinion mining and feature-based opinion mining, this book is an ideal reference source for information technology professionals within research or business settings, graduate and post-graduate students, as well as scholars.

Proceedings Of The 2025 International Conference On Financial Risk And Investment Management Icfrim 2025

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Author : Maizaitulaidawati Md Husin
language : en
Publisher: Springer Nature
Release Date : 2025-08-03

Proceedings Of The 2025 International Conference On Financial Risk And Investment Management Icfrim 2025 written by Maizaitulaidawati Md Husin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-03 with Business & Economics categories.

This book is an open access. The 2025 International Conference on Financial Risk and Investment Management (ICFRIM 2025) will be held from February 28th-March 2nd in Singapore. This global event will serve as a key platform for the presentation and discussion of the latest research and innovations in financial risk management, investment strategies, and related areas. The conference will bring together a diverse group of scholars, practitioners, and industry experts to explore the challenges and opportunities in the rapidly evolving financial landscape. As the financial industry continues to face unprecedented changes due to technological advancements, regulatory shifts, and global economic dynamics, effective risk management and innovative investment strategies have never been more critical. ICFRIM 2025 aims to provide a platform for the exchange of ideas, the sharing of best practices, and the exploration of new frontiers in financial risk and investment management. The conference will feature keynote speeches and paper presentations from leading academics and professionals in the field. Topics will range from risk assessment and mitigation strategies to the impact of fintech and artificial intelligence on investment management. Attendees will have the opportunity to engage with cutting-edge research, network with peers, and gain valuable insights into the latest trends and developments shaping the future of finance. We invite researchers, industry practitioners, and policymakers from around the world to participate in ICFRIM 2025, contributing their expertise and perspectives to this important dialogue. Join us as we collaborate to advance the field of financial risk and investment management.

Machine Learning And Knowledge Extraction

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Author : Andreas Holzinger
language : en
Publisher: Springer Nature
Release Date : 2021-08-11

Machine Learning And Knowledge Extraction written by Andreas Holzinger and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-11 with Computers categories.

This book constitutes the refereed proceedings of the 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021, held in virtually in August 2021. The 20 full papers and 2 short papers presented were carefully reviewed and selected from 48 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity.

Advances In Knowledge Discovery And Data Mining

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Author : Kamal Karlapalem
language : en
Publisher: Springer Nature
Release Date : 2021-05-08

Advances In Knowledge Discovery And Data Mining written by Kamal Karlapalem and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-08 with Computers categories.

The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021. The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows: Part I: Applications of knowledge discovery and data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics; Part III: Representation learning and embedding, and learning from data.

Knowledge Science Engineering And Management

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Author : Gang Li
language : en
Publisher: Springer Nature
Release Date : 2020-08-20

Knowledge Science Engineering And Management written by Gang Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-20 with Computers categories.

This two-volume set of LNAI 12274 and LNAI 12275 constitutes the refereed proceedings of the 13th International Conference on Knowledge Science, Engineering and Management, KSEM 2020, held in Hangzhou, China, in August 2020.* The 58 revised full papers and 27 short papers were carefully reviewed and selected from 291 submissions. The papers of the first volume are organized in the following topical sections: knowledge graph; knowledge representation; knowledge management for education; knowledge-based systems; and data processing and mining. The papers of the second volume are organized in the following topical sections: machine learning; recommendation algorithms and systems; social knowledge analysis and management; text mining and document analysis; and deep learning. *The conference was held virtually due to the COVID-19 pandemic.

Signal Processing Techniques For Knowledge Extraction And Information Fusion

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Author : Danilo Mandic
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-03-23

Signal Processing Techniques For Knowledge Extraction And Information Fusion written by Danilo Mandic 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 2008-03-23 with Technology & Engineering categories.

This book brings together the latest research achievements from signal processing and related disciplines, consolidating existing and proposed directions in DSP-based knowledge extraction and information fusion. The book includes contributions presenting both novel algorithms and existing applications, emphasizing on-line processing of real-world data. Readers discover applications that solve biomedical, industrial, and environmental problems.

Computational Intelligence For Modelling Control Automation

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Author : Masoud Mohammadian
language : en
Publisher: IOS Press
Release Date : 1999

Computational Intelligence For Modelling Control Automation written by Masoud Mohammadian and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Computers categories.

Reliable and straightforward, this text has helped thousands of students learn to write well. Jean Wyrick's rhetorically organized STEPS TO WRITING WELL WITH ADDITIONAL READINGS is known for its student-friendly tone and the clear way it presents the basics of essay writing in an easy-to-follow progression of useful lessons and activities. Through straightforward advice and thoughtful assignments, the text gives students the practice they need to approach writing well-constructed essays with confidence. With Wyrick's helpful instruction and the book's professional samples by both well-known classic and contemporary writers, STEPS TO WRITING WELL WITH ADDITIONAL READINGS sets students on a solid path to writing success. Everything students need to begin, organize, and revise writing--from choosing a topic to developing the essay to polishing prose--is right here In the ninth edition, Wyrick updates and refines the book's successful approach, adding useful new discussions, readings, exercises, essay assignments, and visual images for analysis.

Foundations Of Data Mining And Knowledge Discovery

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Author : Tsau Young Lin
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-09-02

Foundations Of Data Mining And Knowledge Discovery written by Tsau Young Lin 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 2005-09-02 with Computers categories.

"Foundations of Data Mining and Knowledge Discovery" contains the latest results and new directions in data mining research. Data mining, which integrates various technologies, including computational intelligence, database and knowledge management, machine learning, soft computing, and statistics, is one of the fastest growing fields in computer science. Although many data mining techniques have been developed, further development of the field requires a close examination of its foundations. This volume presents the results of investigations into the foundations of the discipline, and represents the state of the art for much of the current research. This book will prove extremely valuable and fruitful for data mining researchers, no matter whether they would like to uncover the fundamental principles behind data mining, or apply the theories to practical applications.