Evolutionary computation, machine learning and data mining in bioinformatics 10th European Conference, EvoBIO 2012, Malaga, Spain, April 11-13, 2012 : proceedings

Main Author: Mario Giacobini, editor
Format: Book Bachelors
Terbitan: [Springer-Verlag, ] , 2012
Subjects:
Online Access: http://lib.ui.ac.id/file?file=digital/2015-10/20409924-Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics.pdf
ctrlnum 20409924
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title>Evolutionary computation, machine learning and data mining in bioinformatics : 10th European Conference, EvoBIO 2012, Malaga, Spain, April 11-13, 2012 : proceedings</title><creator>Mario Giacobini, editor</creator><type>Book:Book</type><place>Berlin</place><publisher>[Springer-Verlag, ]</publisher><date>2012</date><description>The 15 revised full papers presented together with 8 poster papers were carefully reviewed and selected from numerous submissions. Computational Biology is a wide and varied discipline, incorporating aspects of statistical analysis, data structure and algorithm design, machine learning, and mathematical modeling toward the processing and improved understanding of biological data. Experimentalists now routinely generate new information on such a massive scale that the techniques of computer science are needed to establish any meaningful result. As a consequence, biologists now face the challenges of algorithmic complexity and tractability, and combinatorial explosion when conducting even basic analyses.</description><subject>Bioinformatics -- Congresses</subject><subject>Artificial intelligence -- Congresses</subject><subject>Evolutionary computation -- Congresses</subject><subject>Machine learning -- Congresses</subject><subject>Data mining -- Congresses</subject><subject>Computational biology -- Congresses</subject><identifier>20409924</identifier><source>http://lib.ui.ac.id/file?file=digital/2015-10/20409924-Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics.pdf</source><recordID>20409924</recordID></dc>
format Book:Book
Book
Thesis:Bachelors
Thesis
author Mario Giacobini, editor
title Evolutionary computation, machine learning and data mining in bioinformatics : 10th European Conference, EvoBIO 2012, Malaga, Spain, April 11-13, 2012 : proceedings
title_sub 10th European Conference, EvoBIO 2012, Malaga, Spain, April 11-13, 2012 : proceedings
publisher [Springer-Verlag, ]
publishDate 2012
topic Bioinformatics -- Congresses
Artificial intelligence -- Congresses
Evolutionary computation -- Congresses
Machine learning -- Congresses
Data mining -- Congresses
Computational biology -- Congresses
url http://lib.ui.ac.id/file?file=digital/2015-10/20409924-Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics.pdf
contents The 15 revised full papers presented together with 8 poster papers were carefully reviewed and selected from numerous submissions. Computational Biology is a wide and varied discipline, incorporating aspects of statistical analysis, data structure and algorithm design, machine learning, and mathematical modeling toward the processing and improved understanding of biological data. Experimentalists now routinely generate new information on such a massive scale that the techniques of computer science are needed to establish any meaningful result. As a consequence, biologists now face the challenges of algorithmic complexity and tractability, and combinatorial explosion when conducting even basic analyses.
id IOS18065.20409924
institution Universitas Indonesia
institution_id 51
institution_type library:university
library
library Perpustakaan Universitas Indonesia
library_id 492
collection Repository Skripsi (Membership) Universitas Indonesia
repository_id 18065
city KOTA DEPOK
province JAWA BARAT
repoId IOS18065
first_indexed 2022-12-14T03:01:37Z
last_indexed 2022-12-14T03:01:37Z
recordtype dc
merged_child_boolean 1
_version_ 1752198737414848512
score 17.538404