Service Oriented Distributed Knowledge Discovery
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Service Oriented Distributed Knowledge Discovery
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Author : Domenico Talia
language : en
Publisher: CRC Press
Release Date : 2012-10-05
Service Oriented Distributed Knowledge Discovery written by Domenico Talia and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-05 with Computers categories.
A new approach to distributed large-scale data mining, service-oriented knowledge discovery extracts useful knowledge from today’s often unmanageable volumes of data by exploiting data mining and machine learning distributed models and techniques in service-oriented infrastructures. Service-Oriented Distributed Knowledge Discovery presents techniques, algorithms, and systems based on the service-oriented paradigm. Through detailed descriptions of real software systems, it shows how the techniques, models, and architectures can be implemented. The book covers key areas in data mining and service-oriented computing. It presents the concepts and principles of distributed knowledge discovery and service-oriented data mining. The authors illustrate how to design services for data analytics, describe real systems for implementing distributed knowledge discovery applications, and explore mobile data mining models. They also discuss the future role of service-oriented knowledge discovery in ubiquitous discovery processes and large-scale data analytics. Highlighting the latest achievements in the field, the book gives many examples of the state of the art in service-oriented knowledge discovery. Both novices and more seasoned researchers will learn useful concepts related to distributed data mining and service-oriented data analysis. Developers will also gain insight on how to successfully use service-oriented knowledge discovery in databases (KDD) frameworks.
Service Oriented Distributed Knowledge Discovery
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Author : Domenico Talia
language : en
Publisher: CRC Press
Release Date : 2012-10-05
Service Oriented Distributed Knowledge Discovery written by Domenico Talia and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-05 with Computers categories.
A new approach to distributed large-scale data mining, service-oriented knowledge discovery extracts useful knowledge from today's often unmanageable volumes of data by exploiting data mining and machine learning distributed models and techniques in service-oriented infrastructures. Service-Oriented Distributed Knowledge Discovery presents techniqu
A Comprehensive Guide Through The Italian Database Research Over The Last 25 Years
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Author : Sergio Flesca
language : en
Publisher: Springer
Release Date : 2017-05-29
A Comprehensive Guide Through The Italian Database Research Over The Last 25 Years written by Sergio Flesca and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-29 with Technology & Engineering categories.
This book offers readers a comprehensive guide to the evolution of the database field from its earliest stages up to the present—and from classical relational database management systems to the current Big Data metaphor. In particular, it gathers the most significant research from the Italian database community that had relevant intersections with international projects. Big Data technology is currently dominating both the market and research. The book provides readers with a broad overview of key research efforts in modelling, querying and analysing data, which, over the last few decades, have became massive and heterogeneous areas.
Data Classification
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Author : Charu C. Aggarwal
language : en
Publisher: CRC Press
Release Date : 2014-07-25
Data Classification written by Charu C. Aggarwal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-25 with Business & Economics categories.
Comprehensive Coverage of the Entire Area of Classification Research on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way, Data Classification: Algorithms and Applications explores the underlying algorithms of classification as well as applications of classification in a variety of problem domains, including text, multimedia, social network, and biological data. This comprehensive book focuses on three primary aspects of data classification: Methods: The book first describes common techniques used for classification, including probabilistic methods, decision trees, rule-based methods, instance-based methods, support vector machine methods, and neural networks. Domains: The book then examines specific methods used for data domains such as multimedia, text, time-series, network, discrete sequence, and uncertain data. It also covers large data sets and data streams due to the recent importance of the big data paradigm. Variations: The book concludes with insight on variations of the classification process. It discusses ensembles, rare-class learning, distance function learning, active learning, visual learning, transfer learning, and semi-supervised learning as well as evaluation aspects of classifiers.
Information Modelling And Knowledge Bases Xxi
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Author : T. Welzer Druzovec
language : en
Publisher: IOS Press
Release Date : 2010
Information Modelling And Knowledge Bases Xxi written by T. Welzer Druzovec and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Computers categories.
Information modelling and knowledge bases have become crucially important subjects in the last few decades. They continue to be increasingly relevant, not only in academic communities, but in every area of commerce and society where information technology
Large Scale Machine Learning In The Earth Sciences
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Author : Ashok N. Srivastava
language : en
Publisher: CRC Press
Release Date : 2017-08-01
Large Scale Machine Learning In The Earth Sciences written by Ashok N. Srivastava and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-01 with Computers categories.
From the Foreword: "While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth sciences is still in the early stages. This book, edited by Ashok Srivastava, Ramakrishna Nemani, and Karsten Steinhaeuser, serves as an outstanding resource for anyone interested in the opportunities and challenges for the machine learning community in analyzing these data sets to answer questions of urgent societal interest...I hope that this book will inspire more computer scientists to focus on environmental applications, and Earth scientists to seek collaborations with researchers in machine learning and data mining to advance the frontiers in Earth sciences." --Vipin Kumar, University of Minnesota Large-Scale Machine Learning in the Earth Sciences provides researchers and practitioners with a broad overview of some of the key challenges in the intersection of Earth science, computer science, statistics, and related fields. It explores a wide range of topics and provides a compilation of recent research in the application of machine learning in the field of Earth Science. Making predictions based on observational data is a theme of the book, and the book includes chapters on the use of network science to understand and discover teleconnections in extreme climate and weather events, as well as using structured estimation in high dimensions. The use of ensemble machine learning models to combine predictions of global climate models using information from spatial and temporal patterns is also explored. The second part of the book features a discussion on statistical downscaling in climate with state-of-the-art scalable machine learning, as well as an overview of methods to understand and predict the proliferation of biological species due to changes in environmental conditions. The problem of using large-scale machine learning to study the formation of tornadoes is also explored in depth. The last part of the book covers the use of deep learning algorithms to classify images that have very high resolution, as well as the unmixing of spectral signals in remote sensing images of land cover. The authors also apply long-tail distributions to geoscience resources, in the final chapter of the book.
Handbook Of Research On Knowledge Management For Contemporary Business Environments
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Author : Malheiro, Armando
language : en
Publisher: IGI Global
Release Date : 2018-05-25
Handbook Of Research On Knowledge Management For Contemporary Business Environments written by Malheiro, Armando and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-25 with Business & Economics categories.
Information is considered essential in every business model, which is why staying abreast of the latest resources can help combat many challenges and aid businesses in creating a synthesis between people and information, keeping up with evolving technologies, and keeping data accurate and secure. The Handbook of Research on Knowledge Management for Contemporary Business Environments is a critical scholarly publication that examines the management of knowledge resources in modern business contexts. Including a wide range of topics such as information systems, sustainable competitive advantage, and knowledge sharing, this publication is a vital reference source for managers, academicians, researchers, and students seeking current research on strategies that are able to manage the information in more than one context for present and future generations.
Text Mining And Visualization
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Author : Markus Hofmann
language : en
Publisher: CRC Press
Release Date : 2016-01-05
Text Mining And Visualization written by Markus Hofmann and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-05 with Business & Economics categories.
Text Mining and Visualization: Case Studies Using Open-Source Tools provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python. The contributors-all highly experienced with text mining and open-source software-explain how text data are gathered and processed from a w
Grid Computing
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Author : Marios D. Dikaiakos
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-10-15
Grid Computing written by Marios D. Dikaiakos and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-10-15 with Computers categories.
This book constitutes the thoroughly refereed post-proceedings of the Second European AcrossGrid Conference, AxGrids 2004, held in Nicosia, Cyprus in January 2004. The 27 revised full papers and 4 revised short papers presented were carefully selected during two rounds of reviewing and improvement from 57 submissions. The papers address the entire range of current topics in grid computing from computational and data grids to the semantic grid and grid application in various fields.
Event Mining
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Author : Tao Li
language : en
Publisher: CRC Press
Release Date : 2015-10-15
Event Mining written by Tao Li and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-15 with Business & Economics categories.
With a focus on computing system management, this book presents a variety of event mining approaches for improving the quality and efficiency of IT service and system management. It covers different components in the data-driven framework, from system monitoring and event generation to pattern discovery and summarization. The book explores recent developments in event mining, such as new clustering-based approaches, as well as various applications of event mining, including social media.