Supporting exploratory data analysis by preserving contexts

Authors:
Mitsunori Matsushita
Affiliations:
NTT Communication Science Labs., NTT Corp., Kyoto, Japan
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Year:
2005

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Abstract

The goal of the research presented in this paper is to support users in exploring a huge amount of data for the purpose of decision-making and problem-solving. Our approach is to design human-computer interaction as a natural discourse between the user who explores the data and the system that supports the user's exploration process. For that purpose, we developed a prototype system named InTREND that interprets the user's natural language query and presents statistical charts as a result of the query. InTREND encourages iterative exploration by maintaining the context of past interactions and uses this context to improve discourse with the user. This paper explains our research motivation and presents a framework for supporting exploratory data analysis. Our user studies evaluate the context preservation mechanisms of InTREND.