Data Clustering: Theory, Algorithms, and Applications, Second Edition
Data Clustering: Theory, Algorithms, and Applications, Second Edition

Author: Guojun Gan

Publisher: SIAM

Published: 2020-11-10

Total Pages: 430

ISBN-13: 1611976332

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Data clustering, also known as cluster analysis, is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the first edition of this monograph in 2007, development in the area has exploded, especially in clustering algorithms for big data and open-source software for cluster analysis. This second edition reflects these new developments, covers the basics of data clustering, includes a list of popular clustering algorithms, and provides program code that helps users implement clustering algorithms. Data Clustering: Theory, Algorithms and Applications, Second Edition will be of interest to researchers, practitioners, and data scientists as well as undergraduate and graduate students.

Clusters in Times of Uncertainty
Clusters in Times of Uncertainty

Author: Luciana Lazzeretti

Publisher: Edward Elgar Publishing

Published: 2024-04-12

Total Pages: 287

ISBN-13: 1035315769

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Delivering a global perspective, Clusters in Times of Uncertainty follows the transformation of clusters in a world defined by digital collaboration and green economies. In this innovative book, contributors deconstruct and compare examples from Japan and Europe to explore the opportunities and challenges that clusters present in our modern age.

Theory and Applications of Time Series Analysis
Theory and Applications of Time Series Analysis

Author: Olga Valenzuela

Publisher: Springer Nature

Published: 2023-12-11

Total Pages: 236

ISBN-13: 303140209X

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This book presents the latest developments in the theory and applications of time series analysis and forecasting. Comprising a selection of refereed papers, it is divided into several parts that address modern theoretical aspects of time series analysis, forecasting and prediction, with applications to various disciplines, including econometrics and energy research. The broad range of topics discussed, including matters of particular relevance for sustainable development, will give readers a modern perspective on the subject. The included contributions were originally presented at the 8th International Conference on Time Series and Forecasting, ITISE 2022, held in Gran Canaria, Spain, June 27-30, 2022. The ITISE conference series provides a forum for scientists, engineers, educators and students to discuss the latest advances and implementations in the foundations, theory, models and applications of time series analysis and forecasting. It focuses on interdisciplinary research encompassing computer science, mathematics, statistics and econometrics.

Doubly Stochastic Models for Volcanic Hazard Assessment at Campi Flegrei Caldera
Doubly Stochastic Models for Volcanic Hazard Assessment at Campi Flegrei Caldera

Author: Andrea Bevilacqua

Publisher: Springer

Published: 2016-05-03

Total Pages: 234

ISBN-13: 8876425772

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This study provides innovative mathematical models for assessing the eruption probability and associated volcanic hazards, and applies them to the Campi Flegrei caldera in Italy. Throughout the book, significant attention is devoted to quantifying the sources of uncertainty affecting the forecast estimates. The Campi Flegrei caldera is certainly one of the world’s highest-risk volcanoes, with more than 70 eruptions over the last 15,000 years, prevalently explosive ones of varying magnitude, intensity and vent location. In the second half of the twentieth century the volcano apparently once again entered a phase of unrest that continues to the present. Hundreds of thousands of people live inside the caldera and over a million more in the nearby city of Naples, making a future eruption of Campi Flegrei an event with potentially catastrophic consequences at the national and European levels.

Data Clustering
Data Clustering

Author: Charu C. Aggarwal

Publisher: CRC Press

Published: 2018-09-03

Total Pages: 654

ISBN-13: 1315360411

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Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays special attention to recent issues in graphs, social networks, and other domains. The book focuses on three primary aspects of data clustering: Methods, describing key techniques commonly used for clustering, such as feature selection, agglomerative clustering, partitional clustering, density-based clustering, probabilistic clustering, grid-based clustering, spectral clustering, and nonnegative matrix factorization Domains, covering methods used for different domains of data, such as categorical data, text data, multimedia data, graph data, biological data, stream data, uncertain data, time series clustering, high-dimensional clustering, and big data Variations and Insights, discussing important variations of the clustering process, such as semisupervised clustering, interactive clustering, multiview clustering, cluster ensembles, and cluster validation In this book, top researchers from around the world explore the characteristics of clustering problems in a variety of application areas. They also explain how to glean detailed insight from the clustering process—including how to verify the quality of the underlying clusters—through supervision, human intervention, or the automated generation of alternative clusters.

Scalable Uncertainty Management
Scalable Uncertainty Management

Author: Amol Deshpande

Publisher: Springer Science & Business Media

Published: 2010-09-27

Total Pages: 399

ISBN-13: 3642159508

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This book constitutes the refereed proceedings of the 4th International Conference on Scalable Uncertainty Management, SUM 2010, held in Toulouse, France, in September 2010. The 26 revised full papers presented together with the abstracts of 2 invited talks and 6 “discussant” contributions were carefully reviewed and selected from 32 submissions. The papers cover all areas of managing substantial and complex kinds of uncertainty and inconsistency in data and knowledge, including applications in decision-support systems, negotiation technologies, semantic web applications, search engines, ontology systems, information retrieval, natural language processing, information extraction, image recognition, vision systems, text mining, and data mining, and consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.

Information Computing and Applications
Information Computing and Applications

Author: Yuhang Yang

Publisher: Springer

Published: 2013-12-20

Total Pages: 687

ISBN-13: 3642539327

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This two-volume set of CCIS 391 and CCIS 392 constitutes the refereed proceedings of the Fourth International Conference on Information Computing and Applications, ICICA 2013, held in Singapore, in August 2013. The 126 revised full papers presented in both volumes were carefully reviewed and selected from 665 submissions. The papers are organized in topical sections on Internet computing and applications; engineering management and applications; intelligent computing and applications; control engineering and applications; cloud and evolutionary computing; knowledge management and applications; computational statistics and applications.

34th European Symposium on Computer Aided Process Engineering /15th International Symposium on Process Systems Engineering
34th European Symposium on Computer Aided Process Engineering /15th International Symposium on Process Systems Engineering

Author: Flavio Manenti

Publisher: Elsevier

Published: 2024-06-27

Total Pages: 3634

ISBN-13: 0443288259

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The 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering, contains the papers presented at the 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering joint event. It is a valuable resource for chemical engineers, chemical process engineers, researchers in industry and academia, students, and consultants for chemical industries. - Presents findings and discussions from the 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering joint event

Big Bang Problems
Big Bang Problems

Author: Bobby McGehee

Publisher: AuthorHouse

Published: 2014-10-17

Total Pages: 135

ISBN-13: 1496946421

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Cosmology: Scientific Study of the Universe For thousands of years, humankind has gazed up into the heavens at the beautiful Milky Way galaxy and pondered From where did it come? Over the years, as more knowledge was acquired, our views of the universe have changed. Our thinking has evolved from a belief that the Earth was flat, and then it was thought the Earth was the center of the universe. Then the misinterpretation of redshift gave the appearance that everything erupted from a single point. Thinking evolved to the idea of a big bang belief that everywhere is the center of the universe and it is expanding without limit. Now again, we have reached dogma. Scientific thinkers recognize the big bang theory has serious credibility problems. It is now proved and recognized that the big bang concept was inferred from misinterpretation of redshift observations first acquired in the early 1910s at Lowell Observatory in Flagstaff, Arizona. The big bang theory was concocted before positron/electron combination positroniums were known. These smallest of atoms were discovered in the 1930s and not understood until the 1950s. Positroniums have a tremendous amount of energy, and when their positrons and electrons come into contact, they annihilate, the conversion of all their mass into energy that is evolving into all the mass and energy in the universe. The initial annihilation started the cascading at what is now the center of the universe. It is a huge void in the Eridanus constellation, about 10 billion light-years from Earth. Now, we have a provable scientific explanation. Finally, it all makes sense without myth.