Interactive Data-Driven Research: the place where databases and data mining research meet

Sihem Amer-Yahia (1) , Vincent Leroy (1) , Alexandre Termier (2) , Martin Kirchgessner (1) , Behrooz Omidvar-Tehrani (3)

1 SLIDE - ScaLable Information Discovery and Exploitation [Saint Martin d’Hères]
2 LACODAM - Large Scale Collaborative Data Mining
3 LIG - Laboratoire d'Informatique de Grenoble

Data-driven research, or the science of letting data tell us what we are looking for, is in many areas, the only viable approach to research. In some domains like adaptive clinical trials and emerging research areas such as social computing, useful results are highly dependent on the ability to observe and interactively explore large volumes of real datasets. Database management is the science of efficiently storing and retrieving data. Data mining is the science of discovering hidden correlations in data. Interactive data-driven research is a natural meeting point that presents a new research opportunity. The ability to conduct effective data-driven research requires to combine efficient indexing and querying from databases and pattern mining and classification from data mining to help analysts understand what lies behind large data volumes. In this paper, we explore key challenges and new opportunities in building robust systems for interactive data-driven research.

Domains: Distributed, Parallel, and Cluster Computing [cs.DC]

Sihem Amer-Yahia, Vincent Leroy, Alexandre Termier, Martin Kirchgessner, Behrooz Omidvar-Tehrani. Interactive Data-Driven Research: the place where databases and data mining research meet. [Research Report] RR-LIG-049, LIG. 2015. ⟨hal-01403233⟩