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 |
IOS18064.20409924 |
institution |
Universitas Indonesia |
institution_id |
51 |
institution_type |
library:university library |
library |
Perpustakaan Universitas Indonesia |
library_id |
492 |
collection |
Repository Skripsi (open) Universitas Indonesia |
repository_id |
18064 |
city |
KOTA DEPOK |
province |
JAWA BARAT |
repoId |
IOS18064 |
first_indexed |
2022-12-13T09:20:07Z |
last_indexed |
2022-12-13T09:20:07Z |
recordtype |
dc |
merged_child_boolean |
1 |
_version_ |
1752198737412751360 |
score |
17.13294 |