Workshop on Mining Big Data:

                                New pattern mining challenges

A photo snap of the workshop

   This workshop has been co-organized by Laboratoire d'Informatique de Grenoble, Université Joseph Fourier, Grenoble, France and The Institute of Scientific and Industrial Research, Osaka University, Osaka, Japan. Its objective was to explore possibility of novel methods to mine variety of patterns beyond types of the patterns mined in the state of the art.

   We had five presentations by seven speakers. Finally, we discussed current limitations and future possibility of the pattern mining techniques based on these presentations. Through this discussion, we achieved a conclusion that introduction of new techniques such as optimization and reverse search from other computer science areas is needed in addition to current mining principles including frequent pattern search. 

 

This research direction is expected to enable the extension of the types of patterns to be mined

from data.

   Along the conclusion of this discussion, we, Alexandre Termier, Takashi Washio and our colleagues, have already started new collaborative exploration of novel pattern mining techniques and found some potentially effective principles for developing such techniques.