Author/Authors :
W. Scott Spangler، نويسنده , , Chen Ying، نويسنده , , Jeffrey Kreulen، نويسنده , , Stephen Boyer، نويسنده , , Thomas Griffin، نويسنده , , Alfredo Alba، نويسنده , , Linda Kato، نويسنده , , Ana Lelescu، نويسنده , , Su Yan، نويسنده ,
Abstract :
Exploratory Analytics is the process of analyzing data for the purpose of forming hypotheses. Patent data sets, because they are relatively large and diverse and because they consist of a mixture of structured and unstructured information present a formidable challenge and a great opportunity in applying exploratory analytics techniques. In this paper we describe methods we have implemented for effective exploratory analytics on patent data sets using an interactive approach and a web based software tool called SIMPLE. We use real-world case studies to demonstrate the effectiveness of our exploratory analytics approach in the discovery of useful information from the patent corpus.
Keywords :
Simple , Mining platform , Patent mining , Text analytics , Bioinformatics , Exploratory analytics