Within Intelligent Data Analysis (IDA) research area there may be found several subareas such as Machine Learning/Statistics, Information Retrieval, Data Mining and lately Big Data and Cloud Computing. The exact boundaries between these research areas are not very clear and may mislead research efforts, each one having its own particularities in terms of input type and size, data processing methodologies and obtained output. As Data Mining makes intensive use of all these research subareas, it is mandatory to be aware of their subtle differences and, therefore, design and implement IDA systems that make research efforts sound and effective. The goal of this workshop is to gather research efforts that fall into any of the categories of subareas and have results into the application area of Education. The workshop is looking for contributions that provide experimental results in the area of EDM/Information Retrieval and are focused on data processing fundamentals from Machine Learning/Statistics perspective. From the practical point of view, the focus should be on presenting the details regarding what and how tools and technologies are used in order to obtain relevant data analysis engines.
SMLIR Workshop Chair Marian Cristian Mihăescu