Big Data

Due to the rise of IT and the rapid inclusion of the Internet and Mobile Computing in our lives, companies, enterprises and governments have been amassing huge volumes of information. This information overload greatly complicates the process of expert decision-making in any field. Furthermore, the heterogeneous nature of the sources and the large size of these databases imply a difficult challenge for analysts. Containing the proceedings of a new conference organized by Wessex Institute of Technology, this book offers solutions from experts on Computer Science, Statistics and Economics and other areas to secure current data management from the perspective of Big Data, Data Mining and predictive classical Statistics. Addresses all stages of the Data Management process, including data collection, integration, storage, pre-processing, analysis and visualization. Application areas where new techniques of Data Management are particularly relevant today, include e-commerce, finance, Smart cities and Medicine.
Topics covered include: Forecasting from Big Data; Optimization; New visualisation techniques; Social network analysis; Search and data mining; Complexity and algorithms; Open data; Cloud computing; OLAP technologies; ETL (Extract, Transform and Load).