Data Privacy: Foundations, New Developments and the Big Data Challenge, Vicen? Torra
Автор: Emrouznejad Название: Big Data Optimization: Recent Developments and Challenges ISBN: 3319302639 ISBN-13(EAN): 9783319302638 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Themain objective of this book is to provide the necessary background to work withbig data by introducing some novel optimization algorithms and codes capable ofworking in the big data setting as well as introducing some applications in bigdata optimization for both academics and practitioners interested, and tobenefit society, industry, academia, and government. Presenting applications ina variety of industries, this book will be useful for the researchers aiming toanalyses large scale data. Several optimization algorithms for big dataincluding convergent parallel algorithms, limited memory bundle algorithm,diagonal bundle method, convergent parallel algorithms, network analytics, andmany more have been explored in this book.
Описание: This book reports on advancedtheories and cutting-edge applications in the field of soft computing. Theindividual chapters, written by leading researchers, are based on contributionspresented during the 4th World Conference on Soft Computing, held May 25-27,2014, in Berkeley. The book covers a wealth of key topics in soft computing,focusing on both fundamental aspects and applications. The former include fuzzymathematics, type-2 fuzzy sets, evolutionary-based optimization, aggregationand neural networks, while the latter include soft computing in data analysis,image processing, decision-making, classification, series prediction,economics, control, and modeling. By providing readers with a timely,authoritative view on the field, and by discussing thought-provokingdevelopments and challenges, the book will foster new research directions inthe diverse areas of soft computing.
Автор: Dawn E. Holmes; Lakhmi C. Jain Название: Data Mining: Foundations and Intelligent Paradigms ISBN: 3642435467 ISBN-13(EAN): 9783642435461 Издательство: Springer Рейтинг: Цена: 29209.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume, which includes the latest research on data mining and its applications to financial modeling, presents its material in an easy-to-consult handbook style and is aimed at a broad audience that includes both specialists and non-specialists alike.
Автор: Dawn E. Holmes; Lakhmi C. Jain Название: Data Mining: Foundations and Intelligent Paradigms ISBN: 3642434290 ISBN-13(EAN): 9783642434297 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data mining is a rapidly growing research area in computer science and statistics. Volume 2 of this three-volume series covers theoretical aspects of the subject, including statistical, Bayesian, time-series and others relevant to health informatics.
Автор: Dawn E. Holmes; Lakhmi C. Jain Название: Data Mining: Foundations and Intelligent Paradigms ISBN: 3642430937 ISBN-13(EAN): 9783642430930 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: However, in compiling a volume titled "DATA MINING: Foundations and Intelligent Paradigms: Volume 1: Clustering, Association and Classification" we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.
Автор: Wesley Chu; Tsau Young Lin Название: Foundations and Advances in Data Mining ISBN: 3642425380 ISBN-13(EAN): 9783642425387 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The presented theories will give data mining practitioners a scientific perspective in data mining and thus provide more insight into their problems, and the provided new data mining topics can be expected to stimulate further research in these important directions.
Автор: Tsau Young Lin; Setsuo Ohsuga; Churn-Jung Liau; Xi Название: Foundations and Novel Approaches in Data Mining ISBN: 364206650X ISBN-13(EAN): 9783642066504 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. In this volume, we hope to remedy problems by (1) presenting a theoretical foundation of data-mining, and (2) providing important new directions for data-mining research.
Автор: Tsau Young Lin; Setsuo Ohsuga; Churn-Jung Liau; Xi Название: Foundations of Data Mining and Knowledge Discovery ISBN: 3540262571 ISBN-13(EAN): 9783540262572 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "Foundations of Data Mining and Knowledge Discovery" contains the latest results and new directions in data mining research.
Автор: Tsau Young Lin; Setsuo Ohsuga; Churn-Jung Liau; Xi Название: Foundations of Data Mining and Knowledge Discovery ISBN: 364243228X ISBN-13(EAN): 9783642432286 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "Foundations of Data Mining and Knowledge Discovery" contains the latest results and new directions in data mining research.
Автор: Guillermo Navarro-Arribas; Vicen? Torra Название: Advanced Research in Data Privacy ISBN: 3319098845 ISBN-13(EAN): 9783319098845 Издательство: Springer Рейтинг: Цена: 22203.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides an overview of the research work on data privacy and privacy enhancing technologies carried by the participants of the ARES project.
Автор: Guillermo Navarro-Arribas; Vicen? Torra Название: Advanced Research in Data Privacy ISBN: 3319359916 ISBN-13(EAN): 9783319359915 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides an overview of the research work on data privacy and privacy enhancing technologies carried by the participants of the ARES project.
Автор: Hsu, Hui-Huang Название: Big Data Analytics for Sensor-Network Collected Intelligence ISBN: 0128093935 ISBN-13(EAN): 9780128093931 Издательство: Elsevier Science Рейтинг: Цена: 15159.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people's behaviors, and how to unobtrusively provide better services.
It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality.
In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation.
Indexing: The books of this series are submitted to EI-Compendex and SCOPUS
Contains contributions from noted scholars in computer science and electrical engineering from around the globe
Provides a broad overview of recent developments in sensor collected intelligence
Edited by a team comprised of leading thinkers in big data analytics
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