Big data is an essential key to build a smart world as a meaning of the streaming continuous
integration of large volume and high velocity data covering from all sources to final
destinations. The big data range from data mining data analysis and decision making by
drawing statistical rules and mathematical patterns through systematical or automatically
reasoning. The big data helps serve our life better clarify our future and deliver greater
value. We can discover how to capture and analyze data. Readers will be guided to processing
system integrity and implementing intelligent systems. With intelligent systems we deal with
the fundamental data management and visualization challenges in effective management of dynamic
and large-scale data and efficient processing of real-time and spatio-temporal data. Advanced
intelligent systems have led to managing the data monitoring data processing and
decision-making in realistic and effective way. Considering a big size of data variety of data
and frequent changes of data the intelligent systems basically challenge new data management
tasks for integration visualization querying and analysis. Connected with powerful data
analysis the intelligent systems will provide a paradigm shift from conventional store and
process systems. This book focuses on taking a full advantage of big data and intelligent
systems processing. It consists of 11 contributions that feature extraction of minority opinion
method for reusing an application assessment of scientific and innovative projects
multi-voxel pattern analysis exploiting No-SQL DB materialized view TF-IDF criterion latent
Dirichlet allocation technology forecasting small world network and classification &
regression tree structure. This edition is published in original peer reviewed contributions
covering from initial design to final prototypes and authorization.
