@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 = {<p>We live in an era in which the creation of new data is growing exponentially such\&nbsp;that every two days we create as much new data as we\&nbsp;did from the beginning of\&nbsp;mankind until the year 2003. One of the greatest scientific challenges of the 21st\&nbsp;century is to effectively\&nbsp;understand and make use of the vast amount of information\&nbsp;being produced. Visual data analysis will be among our most important tools\&nbsp;to\&nbsp;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\&nbsp;medicine.</p>
},
	keywords = {BIG-data, data visualization},
	url = {http://icbo.cgrb.oregonstate.edu/},
	author = {Christopher Johnson}
}
