Smart Data through Automatic Data Search and Extraction - David Arnu (RapidMiner)
There is an increased focus on deriving business value from data. To exploit the knowledge hidden inside the data, it is necessary to fetch it out of various silos to get a clear picture for the target domain. The challenge is to extract and merge data sets coming from various sources. Our ongoing research project Data Search 4 Data Mining (DS4DM) leads to exploitations of data in graphically designed and highly reusable data mining processes. The goal is to enable an analyst to find and semi-automatically integrate relevant data out of potentially very large corpora.
David Arnu works as senior data scientist at RapidMiner. He studied at the University of Dortmund and holds a Master degree in Computer Science. There he worked as a research assistant at the chair of artificial intelligence, later he joined the R&D team of RapidMiner as software- and project-engineer. Now, he is a senior data scientist in the research team and works on projects about predictive analytics and big data.