Information Fusion in Data Mining - 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 Fusion in Data Mining write by Prof. Vicenç Torra. This book was released on 2013-06-05. Information Fusion in Data Mining available in PDF, EPUB and Kindle. Information fusion is becoming a major requirement in data mining and knowledge discovery in databases. This book presents some recent fusion techniques that are currently in use in data mining, as well as data mining applications that use information fusion. Special focus of the book is on information fusion in preprocessing, model building and information extraction with various applications.
Modeling Decisions
Modeling Decisions - 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 Modeling Decisions write by Vicenç Torra. This book was released on 2007-05-11. Modeling Decisions available in PDF, EPUB and Kindle. This book covers the underlying science and application issues related to aggregation operators, focusing on tools used in practical applications that involve numerical information. It will thus be required reading for engineers, statisticians and computer scientists of all kinds. Starting with detailed introductions to information fusion and integration, measurement and probability theory, fuzzy sets, and functional equations, the authors then cover numerous topics in detail, including the synthesis of judgements, fuzzy measures, weighted means and fuzzy integrals.
Intelligent Data Mining and Fusion Systems in Agriculture
Intelligent Data Mining and Fusion Systems in Agriculture - 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 Intelligent Data Mining and Fusion Systems in Agriculture write by Xanthoula-Eirini Pantazi. This book was released on 2019-10-08. Intelligent Data Mining and Fusion Systems in Agriculture available in PDF, EPUB and Kindle. Intelligent Data Mining and Fusion Systems in Agriculture presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricultural products and crop condition monitoring. Sections cover the combination of sensors with artificial intelligence architectures in precision agriculture, including algorithms, bio-inspired hierarchical neural maps, and novelty detection algorithms capable of detecting sudden changes in different conditions. This book offers advanced students and entry-level professionals in agricultural science and engineering, geography and geoinformation science an in-depth overview of the connection between decision-making in agricultural operations and the decision support features offered by advanced computational intelligence algorithms. - Covers crop protection, automation in agriculture, artificial intelligence in agriculture, sensing and Internet of Things (IoTs) in agriculture - Addresses AI use in weed management, disease detection, yield prediction and crop production - Utilizes case studies to provide real-world insights and direction
Nonlinear Integrals and Their Applications in Data Mining
Nonlinear Integrals and Their Applications in Data Mining - 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 Nonlinear Integrals and Their Applications in Data Mining write by Zhenyuan Wang. This book was released on 2010. Nonlinear Integrals and Their Applications in Data Mining available in PDF, EPUB and Kindle. Regarding the set of all feature attributes in a given database as the universal set, this monograph discusses various nonadditive set functions that describe the interaction among the contributions from feature attributes towards a considered target attribute. Then, the relevant nonlinear integrals are investigated. These integrals can be applied as aggregation tools in information fusion and data mining, such as synthetic evaluation, nonlinear multiregressions, and nonlinear classifications. Some methods of fuzzification are also introduced for nonlinear integrals such that fuzzy data can be treated and fuzzy information is retrievable. The book is suitable as a text for graduate courses in mathematics, computer science, and information science. It is also useful to researchers in the relevant area.
Data Fusion in Information Retrieval
Data Fusion in Information Retrieval - 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 Fusion in Information Retrieval write by Shengli Wu. This book was released on 2012-04-05. Data Fusion in Information Retrieval available in PDF, EPUB and Kindle. The technique of data fusion has been used extensively in information retrieval due to the complexity and diversity of tasks involved such as web and social networks, legal, enterprise, and many others. This book presents both a theoretical and empirical approach to data fusion. Several typical data fusion algorithms are discussed, analyzed and evaluated. A reader will find answers to the following questions, among others: What are the key factors that affect the performance of data fusion algorithms significantly? What conditions are favorable to data fusion algorithms? CombSum and CombMNZ, which one is better? and why? What is the rationale of using the linear combination method? How can the best fusion option be found under any given circumstances?
