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Data Mining
This volume contains the proceedings of the 2017 International Conference on Data Mining (DMIN'17).
eBook
IBM infoSphere replication server and data event publisher
This is a developer's guide and is written in a style suitable to professionals. The initial chapters cover the basic theory and principles of Q replication and WebSphere MQ. As the book advances, numerous real-world scenarios and examples are covered with easy-to-understand code. The knowledge gained in these chapters culminate in the Appendix, which contains step-by-step instructions to set up various Q replication scenarios. If you are a professional who needs to set up and administer a Q replication or Event Publishing environment, then this is the book you need. The book will give you a clear idea of how to implement Q replication on z/OS whether you work on Linux, Unix, or Windows operating system.
eBook
Regularization, optimization, kernels, and support vector machines
\"Obtaining reliable models from given data is becoming increasingly important in a wide range of different applications fields including the prediction of energy consumption, complex networks, environmental modelling, biomedicine, bioinformatics, finance, process modelling, image and signal processing, brain-computer interfaces, and others. In data-driven modelling approaches one has witnessed considerable progress in the understanding of estimating flexible nonlinear models, learning and generalization aspects, optimization methods, and structured modelling. One area of high impact both in theory and applications is kernel methods and support vector machines. Optimization problems, learning, and representations of models are key ingredients in these methods. On the other hand, considerable progress has also been made on regularization of parametric models, including methods for compressed sensing and sparsity, where convex optimization plays an important role. At the international workshop ROKS 2013 Leuven, 1 July 8-10, 2013, researchers from diverse fields were meeting on the theory and applications of regularization, optimization, kernels, and support vector machines. At this occasion the present book has been edited as a follow-up to this event, with a variety of invited contributions from presenters and scientific committee members. It is a collection of recent progress and advanced contributions on these topics, addressing methods including ...\"-- Provided by publisher.
Book
Text mining : applications and theory
Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the use of techniques from machine learning, knowledge.
eBook
Fuzzy Systems and Data Mining IV
Big Data Analytics is on the rise in the last years of the current decade.Data are overwhelming the computation capacity of high performance servers.Cloud, grid, edge and fog computing are a few examples of the current hype.
eBook
Fuzzy Systems and Data Mining III
Data science is proving to be one of the major trends of the second decade of the 21st century.Even though the term was coined by Peter Naur in the mid 1960s as 'datalogy', or the science of data, it is in the context of data analytics, and especially of big data, that data science has emerged as the new paradigm.
eBook