skip to content
Machine learning and data mining : introduction to principles and algorithms Preview this item
ClosePreview this item
Checking...

Machine learning and data mining : introduction to principles and algorithms

Author: Igor Kononenko; Matjaž Kukar
Publisher: Chichester, England : Horwood Publishing, 2007. ©2007
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Data mining is often referred to by real-time users and software solutions providers as knowledge discovery in databases (KDD). Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific discovery into widely accessible software solutions. This book has been written  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

Find a copy online

Links to this item

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Genre/Form: Electronic books
Electronic book
Additional Physical Format: Print version:
Kononenko, Igor, 1959-
Machine learning and data mining : introduction to principles and algorithms.
Chichester, England : Horwood Publishing, ©2007
xix, 454 pages
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Igor Kononenko; Matjaž Kukar
ISBN: 9780857099440 0857099442
OCLC Number: 874158435
Description: 1 online resource (475 pages) : illustrations
Contents: Introduction --
Learning and intelligence --
Machine learning basics --
Knowledge representation --
Learning as search --
Attribute quality matters --
Data preprocessing --
Constructive induction --
Symbolic learning --
Statistical learning --
Artificial neural networks --
Cluster analysis --
Learning theory --
Computational learning theory --
Definitions of some lesser known terms.
Responsibility: Igor Kononenko, Matjaz.

Abstract:

An introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining, this text is suitable for advanced undergraduates, postgraduates and tutors  Read more...

Reviews

Editorial reviews

Publisher Synopsis

Readers are treated to a comprehensive look at the principles. ...a fine overview of machine learning methods. ...Recommended., Choice Magazine

 
User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.

Similar Items

Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/874158435> # Machine learning and data mining : introduction to principles and algorithms
    a schema:Book, schema:MediaObject, schema:CreativeWork ;
    library:oclcnum "874158435" ;
    library:placeOfPublication <http://id.loc.gov/vocabulary/countries/enk> ;
    schema:about <http://dewey.info/class/006.31/e22/> ;
    schema:about <http://experiment.worldcat.org/entity/work/data/105139585#Topic/data_mining> ; # Data mining
    schema:about <http://experiment.worldcat.org/entity/work/data/105139585#Topic/machine_learning> ; # Machine learning
    schema:about <http://experiment.worldcat.org/entity/work/data/105139585#Topic/computers_general> ; # COMPUTERS--General
    schema:bookFormat schema:EBook ;
    schema:contributor <http://experiment.worldcat.org/entity/work/data/105139585#Person/kukar_matjaz> ; # Matjaž Kukar
    schema:copyrightYear "2007" ;
    schema:creator <http://experiment.worldcat.org/entity/work/data/105139585#Person/kononenko_igor_1959> ; # Igor Kononenko
    schema:datePublished "2007" ;
    schema:description "Introduction -- Learning and intelligence -- Machine learning basics -- Knowledge representation -- Learning as search -- Attribute quality matters -- Data preprocessing -- Constructive induction -- Symbolic learning -- Statistical learning -- Artificial neural networks -- Cluster analysis -- Learning theory -- Computational learning theory -- Definitions of some lesser known terms."@en ;
    schema:description "Data mining is often referred to by real-time users and software solutions providers as knowledge discovery in databases (KDD). Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific discovery into widely accessible software solutions. This book has been written as an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining. Suitable for advanced undergraduates and their tutors at postgraduate level in a wide area of computer science and technology topics as well as researchers looking to adapt various algorithms for particular data mining tasks. A valuable addition to the libraries and bookshelves of the many companies who are using the principles of data mining (or KDD) to effectively deliver solid business and industry solutions. Provides an introduction to the main issues associated with the basics of machine learning and the algorithms used in data miningA valuable addition to the libraries and bookshelves of companies using the principles of data mining (or KDD) to effectively deliver solid business and industry solutions."@en ;
    schema:exampleOfWork <http://worldcat.org/entity/work/id/105139585> ;
    schema:genre "Electronic books"@en ;
    schema:genre "Electronic book"@en ;
    schema:inLanguage "en" ;
    schema:isSimilarTo <http://worldcat.org/entity/work/data/105139585#CreativeWork/machine_learning_and_data_mining_introduction_to_principles_and_algorithms> ;
    schema:name "Machine learning and data mining : introduction to principles and algorithms"@en ;
    schema:productID "874158435" ;
    schema:url <http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=689135> ;
    schema:url <http://www.sciencedirect.com/science/book/9781904275213> ;
    schema:url <http://public.eblib.com/choice/publicfullrecord.aspx?p=1639530> ;
    schema:url <http://www.woodheadpublishingonline.com/content/l0x888/?p=6bef4b30b4c34b52a629a4c1aca671d0&pi=0> ;
    schema:url <http://dproxy.library.dc-uoit.ca/login?url=https://www.sciencedirect.com/science/book/9781904275213> ;
    schema:url <http://site.ebrary.com/id/10834022> ;
    schema:url <http://VH7QX3XE2P.search.serialssolutions.com/?V=1.0&L=VH7QX3XE2P&S=JCs&C=TC0000822740&T=marc&tab=BOOKS> ;
    schema:workExample <http://worldcat.org/isbn/9780857099440> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/874158435> ;
    .


Related Entities

<http://dproxy.library.dc-uoit.ca/login?url=https://www.sciencedirect.com/science/book/9781904275213>
    rdfs:comment "eBook available for Durham College via Elsevier. Click link to access" ;
    .

<http://experiment.worldcat.org/entity/work/data/105139585#Person/kononenko_igor_1959> # Igor Kononenko
    a schema:Person ;
    schema:birthDate "1959" ;
    schema:familyName "Kononenko" ;
    schema:givenName "Igor" ;
    schema:name "Igor Kononenko" ;
    .

<http://experiment.worldcat.org/entity/work/data/105139585#Person/kukar_matjaz> # Matjaž Kukar
    a schema:Person ;
    schema:familyName "Kukar" ;
    schema:givenName "Matjaž" ;
    schema:name "Matjaž Kukar" ;
    .

<http://experiment.worldcat.org/entity/work/data/105139585#Topic/computers_general> # COMPUTERS--General
    a schema:Intangible ;
    schema:name "COMPUTERS--General"@en ;
    .

<http://worldcat.org/entity/work/data/105139585#CreativeWork/machine_learning_and_data_mining_introduction_to_principles_and_algorithms>
    a schema:CreativeWork ;
    rdfs:label "Machine learning and data mining : introduction to principles and algorithms." ;
    schema:description "Print version:" ;
    schema:isSimilarTo <http://www.worldcat.org/oclc/874158435> ; # Machine learning and data mining : introduction to principles and algorithms
    .

<http://worldcat.org/isbn/9780857099440>
    a schema:ProductModel ;
    schema:isbn "0857099442" ;
    schema:isbn "9780857099440" ;
    .

<http://www.worldcat.org/title/-/oclc/874158435>
    a genont:InformationResource, genont:ContentTypeGenericResource ;
    schema:about <http://www.worldcat.org/oclc/874158435> ; # Machine learning and data mining : introduction to principles and algorithms
    schema:dateModified "2018-11-23" ;
    void:inDataset <http://purl.oclc.org/dataset/WorldCat> ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.