Interactive Data Exploration on Top of Linguistic Summaries

International audienceExtracting useful and interpretable knowledge fromraw data is a crucial issue that has been largely addressedby the data mining community especially. In this paper weprovide an interactive data exploration approach that relieson two steps. First, a personalized linguistic summary of thedata set concerned is built and displayed as a tag cloud. Then,exploration functionalities are provided on top of the summaryto let the user discover interesting properties in the data asfrequent/atypical/diversified associations between properties