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Data uncertainty is a concept closely related with most real life applications that involve data collection and... Read More >>
This volume contains both methodological papers showing new original methods, and papers on applications illustrating... Read More >>
In order to exchange knowledge, humans need to share a common lexicon of words as well as to access the world models... Read More >>
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A friendly and accessible approach to applying statistics in the real worldWith an emphasis on critical thinking,... Read More >>
Atlassian Confluence 5 Essentials is written in a friendly, tutorial style packed full of practical information... Read More >>
The book will focus on exploiting state of the art research in semantic web and web science. The rapidly evolving... Read More >>
First published in 1988. Routledge is an imprint of Taylor & Francis, an informa company. Read More >>
This introduction to community detection in networks examines the overlapping and hierarchical community structure,... Read More >>
Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when... Read More >>
Technological advancements have extracted a vast amount of useful knowledge and information for applications and... Read More >>
Given its effective techniques and theories from various sources and fields, data science is playing a vital role... Read More >>
Manage the huMONGOus amount of data collected through your web application with MongoDB. This authoritative introduction--written... Read More >>
Mining big data requires a deep investment in people and time. How can you be sure you re building the right models?... Read More >>
Integration of robust optimization in the existing data mining techniques aim to create new algorithms resilient... Read More >>
The inspiring idea of this workshop series, Artificial Intelligence Approaches to the Complexity of Legal Systems... Read More >>