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Biological and Medical Big Data Mining

Biological and Medical Big Data Mining

George Tzanis
Copyright: © 2014 |Volume: 4 |Issue: 1 |Pages: 15
ISSN: 1947-9115|EISSN: 1947-9123|EISBN13: 9781466655379|DOI: 10.4018/ijkdb.2014010104
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MLA

Tzanis, George. "Biological and Medical Big Data Mining." IJKDB vol.4, no.1 2014: pp.42-56. http://doi.org/10.4018/ijkdb.2014010104

APA

Tzanis, G. (2014). Biological and Medical Big Data Mining. International Journal of Knowledge Discovery in Bioinformatics (IJKDB), 4(1), 42-56. http://doi.org/10.4018/ijkdb.2014010104

Chicago

Tzanis, George. "Biological and Medical Big Data Mining," International Journal of Knowledge Discovery in Bioinformatics (IJKDB) 4, no.1: 42-56. http://doi.org/10.4018/ijkdb.2014010104

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Abstract

This paper discusses the concept of big data mining in the domain of biology and medicine. Biological and medical data are increasing at very rapid rates, which in many cases outpace even Moore's law. This is the result of recent technological development, as well as the exploratory attitude of human beings, that prompts scientists to answer more questions by conducting more experiments. Representative examples are the advances in sequencing and medical imaging technologies. Challenges posed by this data deluge, and the emerging opportunities of their efficient management and analysis are also part of the discussion. The major emphasis is given to the most common biological and medical data mining applications.

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