Demand-Driven Associative Classification (Registro nro. 198459)

MARC details
000 -LÍDER
fixed length control field 02964nam a22004455i 4500
001 - NÚMERO DE CONTROL
control field u370579
003 - IDENTIFICADOR DEL NÚMERO DE CONTROL
control field SIRSI
005 - FECHA Y HORA DE LA ULTIMA TRANSACCIÓN
control field 20160812080041.0
007 - CAMPO FIJO DE DESCRIPCIÓN FIJA--INFORMACIÓN GENERAL
fixed length control field cr nn 008mamaa
008 - ELEMENTOS DE LONGITUD FIJA -- INFORMACIÓN GENERAL
fixed length control field 110517s2011 xxk| s |||| 0|eng d
020 ## - NÚMERO INTERNACIONAL NORMALIZADO PARA LIBROS
International Standard Book Number 9780857295255
-- 978-0-85729-525-5
040 ## - FUENTE DE CATALOGACIÓN
Transcribing agency MX-MeUAM
050 #4 - SIGNATURA TOPOGRÁFICA DE LA BIBLIOTECA DEL CONGRESO
Classification number QA76.9.D343
082 04 - NÚMERO DE CLASIFICACIÓN DECIMAL DEWEY
Classification number 006.312
Edition number 23
100 1# - ASIENTO PRINCIPAL--NOMBRE PERSONAL
Personal name Veloso, Adriano.
Relator term author.
245 10 - MENCIÓN DE TITULO
Title Demand-Driven Associative Classification
Medium [recurso electrónico] /
Statement of responsibility, etc. by Adriano Veloso, Wagner Meira Jr.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture London :
Name of producer, publisher, distributor, manufacturer Springer London,
Date of production, publication, distribution, manufacture, or copyright notice 2011.
300 ## - DESCRIPCIÓN FÍSICA
Extent XIII, 112p. 27 illus.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - MENCIÓN DE SERIE
Series statement SpringerBriefs in Computer Science,
International Standard Serial Number 2191-5768
505 0# - NOTA DE CONTENIDO
Formatted contents note Introduction and Preliminaries -- Introduction -- The Classification Problem -- Associative Classification -- Demand-Driven Associative Classification -- Extensions to Associative Classification -- Multi-Label Associative Classification -- Competence-Conscious Associative Classification -- Calibrated Associative Classification -- Self-Training Associative Classification -- Ordinal Regression and Ranking --  Conclusions and FutureWork.
520 ## - NOTA DE RESUMEN, ETC.
Summary, etc. The ultimate goal of machines is to help humans to solve problems. Such problems range between two extremes: structured problems for which the solution is totally defined (and thus are easily programmed by humans), and random problems for which the solution is completely undefined (and thus cannot be programmed). Problems in the vast middle ground have solutions that cannot be well defined and are, thus, inherently hard to program. Machine Learning is the way to handle this vast middle ground, so that many tedious and difficult hand-coding tasks would be replaced by automatic learning methods. There are several machine learning tasks, and this work is focused on a major one, which is known as classification. Some classification problems are hard to solve, but we show that they can be decomposed into much simpler sub-problems. We also show that independently solving these sub-problems by taking into account their particular demands, often leads to improved classification performance.
596 ## -
-- 19
650 #0 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Computer science.
650 #0 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Data mining.
650 14 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Computer Science.
650 24 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Data Mining and Knowledge Discovery.
650 24 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Probability and Statistics in Computer Science.
700 1# - ASIENTO SECUNDARIO - NOMBRE PERSONAL
Personal name Meira Jr., Wagner.
Relator term author.
710 2# - ASIENTO SECUNDARIO - NOMBRE CORPORATIVO
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9780857295248
830 #0 - ASIENTO SECUNDARIO DE SERIE--TITULO UNIFORME
Uniform title SpringerBriefs in Computer Science,
International Standard Serial Number 2191-5768
856 40 - LOCALIZACIÓN Y ACCESO ELECTRÓNICOS
Public note Libro electrónico
Uniform Resource Identifier <a href="http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-0-85729-525-5">http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-0-85729-525-5</a>
942 ## - TIPO DE MATERIAL (KOHA)
Koha item type Libro Electrónico
Existencias
Estado de retiro Fuente de clasificación Colección Ubicación permanente Ubicación actual Fecha de ingreso Total Checkouts Signatura topográfica Código de barras Date last seen Número de copia Tipo de material
    Colección de Libros Electrónicos Biblioteca Electrónica Biblioteca Electrónica     QA76.9 .D343 370579-2001 12/08/2016 1 Libro Electrónico

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