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Description
This book presents different use cases in big data applications and related practical experiences. Many businesses today are increasingly interested in utilizing big data technologies for supporting their business intelligence so that it is becoming more and more important to understand the various practical issues from different practical use cases. This book provides clear proof that big data technologies are playing an ever increasing important and critical role in a new cross-discipline research between computer science and business.
Table of Contents
Introduction to Big Data.- A Bloom Filter-based Approach for Supporting the Representation and Membership Query of Multidimensional Dataset.- Automatic Speech and Singing Discrimination for Audio Data Indexing.- Exploring the Feature Selection-based Data Analytics Solutions for Text Mining Online Communities by Investigating the Influential Factors - A Case Study of Programming CQA in Stack Overflow.- Temporal Event Tracing on Big Healthcare Data Analytics.- Unstructured Data, NoSQL, and Terms Analytics.- VLAB-C: Collaborative Virtual Laboratory in Cloud Computing and its Applications.- A Crowdsourcing Social Network Service for Social Enterprise Innovation.- Self-adaptive Parameters Optimization for Incremental Classification in Big Data Using Neural Network.- VLAB-C: Collaborative Virtual Laboratory in Cloud Computing and its Applications.- Case Studies of Government Use of Big Data in Latin America: Brazil and Mexico.
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