In recent years, with advances in technology in various areas such as sensors, communications, internet or databases, the amount of data being generated and stored is increasing, to the extent that 90% of the world's data has been generated in recent years. This large amount of data and the technologies that process it is the area known as "big data". Today, the analysis and interpretation of large volumes of data represent a fundamental need for the extraction of useful and valuable knowledge for our socio-economic environment.
The development of tools capable of processing the data and providing an associated value arises from Google's MapReduce paradigm, and its implementation in open source, Hadoop. Many other tools have been developed to address the limitations of this paradigm. As an example, the Apache Spark platform is a new system for the development of algorithms that use memory processing faster than Hadoop processing and without its limitations in iterative processes.
With the BigDADE workshop, we want to encourage the participation of researchers working in the field of data mining, who have focused their attention on the scalability of learning algorithms as well as on the development of proposals focused on Big Data technologies, both algorithmic and applied. It will be an opportunity to present results and exchange ideas about this line of research, both from experts in the field and from those interested in approaching it.