@conference {361, title = {W01-01: Big Data Visual Analysis}, booktitle = {International Conference on Biomedical Ontology and BioCreative (ICBO BioCreative 2016)}, year = {2016}, month = {11/30/16}, publisher = {CEUR-ws.org Volume 1747}, organization = {CEUR-ws.org Volume 1747}, address = {Corvallis, Oregon, USA}, abstract = {

We live in an era in which the creation of new data is growing exponentially such\ that every two days we create as much new data as we\ did from the beginning of\ mankind until the year 2003. One of the greatest scientific challenges of the 21st\ century is to effectively\ understand and make use of the vast amount of information\ being produced. Visual data analysis will be among our most important tools\ to\ understand such large and often complex data. In this talk, I will present state-of-the-art visualization techniques, applied to important Big Data problems in science, engineering, and\ medicine.

}, keywords = {BIG-data, data visualization}, url = {http://icbo.cgrb.oregonstate.edu/}, author = {Christopher Johnson} }