A Real-Time In-Memory Discovery Service, J?rgen M?ller
Автор: J?rgen M?ller Название: A Real-Time In-Memory Discovery Service ISBN: 3642371272 ISBN-13(EAN): 9783642371271 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book examines how to efficiently retrieve track and trace information for an item that took a certain path through a complex network of manufacturers, wholesalers, retailers and consumers. It includes valuable tips on in-memory data management.
Автор: O. Maimon; M. Last Название: Knowledge Discovery and Data Mining ISBN: 1441948422 ISBN-13(EAN): 9781441948427 Издательство: Springer Рейтинг: Цена: 130390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology. Data Mining (DM) is the science of modelling and generalizing common patterns from large sets of multi-type data. DM is a part of KDD, which is the overall process for Knowledge Discovery in Databases. The accessibility and abundance of information today makes this a topic of particular importance and need. The book has three main parts complemented by appendices as well as software and project data that are accessible from the book's web site (http: //www.eng.tau.ac.iV-maimonlifn-kdg ). Part I (Chapters 1-4) starts with the topic of KDD and DM in general and makes reference to other works in the field, especially those related to the information theoretic approach. The remainder of the book presents our work, starting with the IFN theory and algorithms. Part II (Chapters 5-6) discusses the methodology of application and includes case studies. Then in Part III (Chapters 7-9) a comparative study is presented, concluding with some advanced methods and open problems. The IFN, being a generic methodology, applies to a variety of fields, such as manufacturing, finance, health care, medicine, insurance, and human resources. The appendices expand on the relevant theoretical background and present descriptions of sample projects (including detailed results).
Автор: Krzysztof J. Cios; Witold Pedrycz; Roman W. Swinia Название: Data Mining Methods for Knowledge Discovery ISBN: 1461375576 ISBN-13(EAN): 9781461375579 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery.
Автор: Robert J. Hilderman; Howard J. Hamilton Название: Knowledge Discovery and Measures of Interest ISBN: 1441949135 ISBN-13(EAN): 9781441949134 Издательство: Springer Рейтинг: Цена: 62380.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Lech Polkowski Название: Rough Sets in Knowledge Discovery 2 ISBN: 3790824593 ISBN-13(EAN): 9783790824599 Издательство: Springer Рейтинг: Цена: 278580.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The papers on rough set theory and its applications placed in this volume present a wide spectrum of problems representative to the present. Therefore many concepts dwelled on in rough set theory are not entirely new, nevertheless the theory can be viewed as an independent discipline on its own rights.
Автор: James G. Shanahan Название: Soft Computing for Knowledge Discovery ISBN: 1461369479 ISBN-13(EAN): 9781461369479 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Knowledge discovery is an area of computer science that attempts to uncover interesting and useful patterns in data that permit a computer to perform a task autonomously or assist a human in performing a task more efficiently. Soft Computing for Knowledge Discovery provides a self-contained and systematic exposition of the key theory and algorithms that form the core of knowledge discovery from a soft computing perspective. It focuses on knowledge representation, machine learning, and the key methodologies that make up the fabric of soft computing - fuzzy set theory, fuzzy logic, evolutionary computing, and various theories of probability (e.g. na ve Bayes and Bayesian networks, Dempster-Shafer theory, mass assignment theory, and others). In addition to describing many state-of-the-art soft computing approaches to knowledge discovery, the author introduces Cartesian granulefeatures and their corresponding learning algorithms as an intuitive approach to knowledge discovery. This new approach embraces the synergistic spirit of soft computing and exploits uncertainty in order to achieve tractability, transparency and generalization. Parallels are drawn between this approach and other well known approaches (such as naive Bayes and decision trees) leading to equivalences under certain conditions. The approaches presented are further illustrated in a battery of both artificial and real-world problems. Knowledge discovery in real-world problems, such as object recognition in outdoor scenes, medical diagnosis and control, is described in detail. These case studies provide further examples of how to apply the presented concepts and algorithms to practical problems. The author provides web page access to an online bibliography, datasets, source codes for several algorithms described in the book, and other information. Soft Computing for Knowledge Discovery is for advanced undergraduates, professionals and researchers in computer science, engineering and business information systems who work or have an interest in the dynamic fields of knowledge discovery and soft computing.
Автор: Witold Abramowicz; Jozef M Zurada Название: Knowledge Discovery for Business Information Systems ISBN: 1475774753 ISBN-13(EAN): 9781475774757 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Knowledge discovery (KDD) and Data Mining (DM) is a new, multidisciplinary field that focuses on the overall process of information discovery from large volumes of data.
Автор: Philippe Cudr?-Mauroux; Paolo Ceravolo; Dragan Ga? Название: Data-Driven Process Discovery and Analysis ISBN: 3642409180 ISBN-13(EAN): 9783642409189 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the thoroughly refereed proceedings of the Second International Symposium on Data-Driven Process Discovery and Analysis held in Campione d`Italia, Italy, in June 2012.The six revised full papers were carefully selected from 17 submissions.
Автор: Paolo Ceravolo; Stefanie Rinderle-Ma Название: Data-Driven Process Discovery and Analysis ISBN: 3319534343 ISBN-13(EAN): 9783319534343 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the revised selected papers from the 5th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2015, held in Vienna, Austria in December 2015.
Автор: Calders Название: Discovery Science ISBN: 3319463063 ISBN-13(EAN): 9783319463063 Издательство: Springer Рейтинг: Цена: 68950.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the 17th International Conference on Discovery Science, DS 2016, held in banff, AB, Canada in October 2015. The 30 full papers presented together with 5 abstracts of invited talks in this volume were carefully reviewed and selected from 60 submissions.
The conference focuses on following topics: Advances in the development and analysis of methods for discovering scienti?c knowledge, coming from machine learning, data mining, and intelligent data analysis, as well as their application in various scienti?c domains.
Автор: Ujjwal Maulik; Lawrence B. Holder; Diane J. Cook Название: Advanced Methods for Knowledge Discovery from Complex Data ISBN: 1849969914 ISBN-13(EAN): 9781849969918 Издательство: Springer Рейтинг: Цена: 153720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The growth in the amount of data collected and generated has exploded in recent times with the widespread automation of various day-to-day activities, advances in high-level scienti?c and engineering research and the development of e?cient data collection tools.
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