@book {696,
	title = {Foundations of Computational Intelligence Volume 4: Bio-Inspired Data Mining},
	year = {2009},
	publisher = {Studies in Computational Intelligence, Springer Verlag},
	organization = {Studies in Computational Intelligence, Springer Verlag},
	address = { Germany},
	abstract = {<p>Computational tools or solutions based on intelligent systems are being used with great success in Data Mining applications. Nature has been very successful in providing clever and efficient solutions to different sorts of challenges and problems posed to organisms by ever-changing and unpredictable environments. It is easy to observe that strong scientific advances have been made when issues from different research areas are integrated. A particularly fertile integration combines biology and computing. Computational tools inspired on biological process can be found in a large number of applications. One of these applications is Data Mining, where computing techniques inspired on nervous systems; swarms, genetics, natural selection, immune systems and molecular biology have provided new efficient alternatives to obtain new, valid, meaningful and useful patterns in large datasets. </p>
},
	url = {http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-642-01087-3},
	author = {Ajith Abraham, Aboul-Ella Hassanien, Andr{\'e} Carvalho}
}
