Clusters in Times of Uncertainty

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Release : 2024-04-12
Genre : Business & Economics
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Book Rating : 769/5 ( reviews)

Clusters in Times of Uncertainty - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Clusters in Times of Uncertainty write by Luciana Lazzeretti. This book was released on 2024-04-12. Clusters in Times of Uncertainty available in PDF, EPUB and Kindle. 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.

Information Processing and Management of Uncertainty in Knowledge-Based Systems

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Release : 2020-06-05
Genre : Computers
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Book Rating : 469/5 ( reviews)

Information Processing and Management of Uncertainty in Knowledge-Based Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Information Processing and Management of Uncertainty in Knowledge-Based Systems write by Marie-Jeanne Lesot. This book was released on 2020-06-05. Information Processing and Management of Uncertainty in Knowledge-Based Systems available in PDF, EPUB and Kindle. This three volume set (CCIS 1237-1239) constitutes the proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, in June 2020. The conference was scheduled to take place in Lisbon, Portugal, at University of Lisbon, but due to COVID-19 pandemic it was held virtually. The 173 papers were carefully reviewed and selected from 213 submissions. The papers are organized in topical sections: homage to Enrique Ruspini; invited talks; foundations and mathematics; decision making, preferences and votes; optimization and uncertainty; games; real world applications; knowledge processing and creation; machine learning I; machine learning II; XAI; image processing; temporal data processing; text analysis and processing; fuzzy interval analysis; theoretical and applied aspects of imprecise probabilities; similarities in artificial intelligence; belief function theory and its applications; aggregation: theory and practice; aggregation: pre-aggregation functions and other generalizations of monotonicity; aggregation: aggregation of different data structures; fuzzy methods in data mining and knowledge discovery; computational intelligence for logistics and transportation problems; fuzzy implication functions; soft methods in statistics and data analysis; image understanding and explainable AI; fuzzy and generalized quantifier theory; mathematical methods towards dealing with uncertainty in applied sciences; statistical image processing and analysis, with applications in neuroimaging; interval uncertainty; discrete models and computational intelligence; current techniques to model, process and describe time series; mathematical fuzzy logic and graded reasoning models; formal concept analysis, rough sets, general operators and related topics; computational intelligence methods in information modelling, representation and processing.

Data Clustering

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Release : 2018-09-03
Genre : Business & Economics
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Book Rating : 411/5 ( reviews)

Data Clustering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Clustering write by Charu C. Aggarwal. This book was released on 2018-09-03. Data Clustering available in PDF, EPUB and Kindle. 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

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Release : 2010-09-27
Genre : Computers
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Book Rating : 508/5 ( reviews)

Scalable Uncertainty Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Scalable Uncertainty Management write by Amol Deshpande. This book was released on 2010-09-27. Scalable Uncertainty Management available in PDF, EPUB and Kindle. 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.

Time and Uncertainty

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Release : 2004-01-01
Genre : Philosophy
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Book Rating : 110/5 ( reviews)

Time and Uncertainty - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Time and Uncertainty write by Paul Andre Harris. This book was released on 2004-01-01. Time and Uncertainty available in PDF, EPUB and Kindle. The essays in this volume all originated at the 2001 conference of the International Society for the Study of Time. The theme 'Time and Uncertainty' sounds redundant, but the contributions try to come to terms with the irreducible openness of time and the impermanence of life. The essays from various disciplines have been grouped around 'fracture and rupture' (grappling with time and uncertainty as a breach) and 'rapture and structure (solving uncertainty into pattern).