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Text Mining with MATLAB provides a comprehensive introduction to text mining using MATLAB. It’s designed to help text mining practitioners, as well as those with little-to-no experience with text mining in general, familiarize themselves with MATLAB and its complex applications.
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This volume unpacks an intriguing challenge for the field of media research: combining media research with the study of complex networks.
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This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Part one covers the fundamental concepts of Big Data... Læs mere
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This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models.
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The Elements of Knowledge Organization is a unique and original work introducing the fundamental concepts related to the field of Knowledge Organization (KO). The... Læs mere
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Data preprocessing includes the data reduction techniques, which aim at reducing the complexity of the data, detecting or removing irrelevant and noisy elements from... Læs mere
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This text presents an overview of smart information systems for both the private and public sector, highlighting the... Læs mere
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This book presents the results of discussions and presentation from the latest ISDT event (2014) which was dedicated to the 94th birthday anniversary of Prof.
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This successful book provides in its second edition an interactive and illustrative guide from two-dimensional curve fitting to multidimensional clustering and machine learning with neural networks or support vector machines.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.