Data mining / / edited by Ciza Thomas.
This book on data mining explores a broad set of ideas and presents some of the state-of-the-art research in this field. The book is triggered by pervasive applications that retrieve knowledge from real-world big data. Data mining finds applications in the entire spectrum of science and technology i...
Saved in:
: | |
---|---|
TeilnehmendeR: | |
Place / Publishing House: | London, England : : IntechOpen,, [2018] ©2018 |
Year of Publication: | 2018 |
Language: | English |
Physical Description: | 1 online resource (viii, 178 pages) :; illustrations |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
993545548304498 |
---|---|
ctrlnum |
(CKB)4970000000100107 (NjHacI)994970000000100107 (oapen)https://directory.doabooks.org/handle/20.500.12854/44551 (EXLCZ)994970000000100107 |
collection |
bib_alma |
record_format |
marc |
spelling |
Ciza Thomas auth Data mining / edited by Ciza Thomas. IntechOpen 2018 London, England : IntechOpen, [2018] ©2018 1 online resource (viii, 178 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Description based on: online resource; title from PDF information screen (Intech, viewed October 12, 2022). This book on data mining explores a broad set of ideas and presents some of the state-of-the-art research in this field. The book is triggered by pervasive applications that retrieve knowledge from real-world big data. Data mining finds applications in the entire spectrum of science and technology including basic sciences to life sciences and medicine, to social, economic, and cognitive sciences, to engineering and computers. The chapters discuss various applications and research frontiers in data mining with algorithms and implementation details for use in real-world. This can be through characterization, classification, discrimination, anomaly detection, association, clustering, trend or evolution prediction, etc. The intended audience of this book will mainly consist of researchers, research students, practitioners, data analysts, and business professionals who seek information on the various data mining techniques and their applications. English Data mining. Physical Sciences Engineering and Technology Computer and Information Science Machine Learning and Data Mining Numerical Analysis and Scientific Computing 1-78923-596-0 Thomas, Ciza, editor. |
language |
English |
format |
eBook |
author |
Ciza Thomas |
spellingShingle |
Ciza Thomas Data mining / |
author_facet |
Ciza Thomas Thomas, Ciza, |
author_variant |
c t ct |
author2 |
Thomas, Ciza, |
author2_variant |
c t ct |
author2_role |
TeilnehmendeR |
author_sort |
Ciza Thomas |
title |
Data mining / |
title_full |
Data mining / edited by Ciza Thomas. |
title_fullStr |
Data mining / edited by Ciza Thomas. |
title_full_unstemmed |
Data mining / edited by Ciza Thomas. |
title_auth |
Data mining / |
title_new |
Data mining / |
title_sort |
data mining / |
publisher |
IntechOpen IntechOpen, |
publishDate |
2018 |
physical |
1 online resource (viii, 178 pages) : illustrations |
isbn |
1-83881-567-8 1-78923-597-9 1-78923-596-0 |
callnumber-first |
Q - Science |
callnumber-subject |
QA - Mathematics |
callnumber-label |
QA76 |
callnumber-sort |
QA 276.9 D343 D383 42018 |
illustrated |
Illustrated |
dewey-hundreds |
000 - Computer science, information & general works |
dewey-tens |
000 - Computer science, knowledge & systems |
dewey-ones |
006 - Special computer methods |
dewey-full |
006.312 |
dewey-sort |
16.312 |
dewey-raw |
006.312 |
dewey-search |
006.312 |
work_keys_str_mv |
AT cizathomas datamining AT thomasciza datamining |
status_str |
n |
ids_txt_mv |
(CKB)4970000000100107 (NjHacI)994970000000100107 (oapen)https://directory.doabooks.org/handle/20.500.12854/44551 (EXLCZ)994970000000100107 |
carrierType_str_mv |
cr |
is_hierarchy_title |
Data mining / |
author2_original_writing_str_mv |
noLinkedField |
_version_ |
1796651434995875840 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01016nam a2200313 i 4500</leader><controlfield tag="001">993545548304498</controlfield><controlfield tag="005">20221215131138.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr#|||||||||||</controlfield><controlfield tag="008">221012s2018 enka o 000 0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1-83881-567-8</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1-78923-597-9</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)4970000000100107</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(NjHacI)994970000000100107</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/44551</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)994970000000100107</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">NjHacI</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="c">NjHacl</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QA76.9.D343</subfield><subfield code="b">.D383 2018</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">006.312</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Ciza Thomas</subfield><subfield code="4">auth</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Data mining /</subfield><subfield code="c">edited by Ciza Thomas.</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="b">IntechOpen</subfield><subfield code="c">2018</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">London, England :</subfield><subfield code="b">IntechOpen,</subfield><subfield code="c">[2018]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2018</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (viii, 178 pages) :</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on: online resource; title from PDF information screen (Intech, viewed October 12, 2022).</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This book on data mining explores a broad set of ideas and presents some of the state-of-the-art research in this field. The book is triggered by pervasive applications that retrieve knowledge from real-world big data. Data mining finds applications in the entire spectrum of science and technology including basic sciences to life sciences and medicine, to social, economic, and cognitive sciences, to engineering and computers. The chapters discuss various applications and research frontiers in data mining with algorithms and implementation details for use in real-world. This can be through characterization, classification, discrimination, anomaly detection, association, clustering, trend or evolution prediction, etc. The intended audience of this book will mainly consist of researchers, research students, practitioners, data analysts, and business professionals who seek information on the various data mining techniques and their applications.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Data mining.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Physical Sciences</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Engineering and Technology</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Computer and Information Science</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Machine Learning and Data Mining</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Numerical Analysis and Scientific Computing</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">1-78923-596-0</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Thomas, Ciza,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-02-22 20:02:16 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2019-04-13 22:04:18 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5351668810004498&Force_direct=true</subfield><subfield code="Z">5351668810004498</subfield><subfield code="b">Available</subfield><subfield code="8">5351668810004498</subfield></datafield></record></collection> |