How interval and fuzzy techniques can improve teaching: processing educational data: from traditional statistical techniques to an appropriate combination of rrobabilistic, interval, and fuzzy approaches
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Berlin
Springer
[2018]
|
Schriftenreihe: | Studies in Computational Intelligence
volume 750 |
Schlagworte: | |
Beschreibung: | x, 362 Seiten Illustration |
ISBN: | 9783662559918 |
ISSN: | 1860-949X |
Internformat
MARC
LEADER | 00000nam a2200000 cb4500 | ||
---|---|---|---|
001 | BV044671006 | ||
003 | DE-604 | ||
005 | 20171207 | ||
007 | t | ||
008 | 171206s2018 a||| |||| 00||| eng d | ||
020 | |a 9783662559918 |c hbk. |9 978-3-662-55991-8 | ||
035 | |a (OCoLC)1013688425 | ||
035 | |a (DE-599)BVBBV044671006 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-11 | ||
082 | 0 | |a 006.3 |2 23 | |
084 | |a ST 300 |0 (DE-625)143650: |2 rvk | ||
100 | 1 | |a Kosheleva, Olga |e Verfasser |0 (DE-588)1147905002 |4 aut | |
245 | 1 | 0 | |a How interval and fuzzy techniques can improve teaching |b processing educational data: from traditional statistical techniques to an appropriate combination of rrobabilistic, interval, and fuzzy approaches |c by Olga Kosheleva, Karen Villaverde |
264 | 1 | |a Berlin |b Springer |c [2018] | |
264 | 4 | |c © 2018 | |
300 | |a x, 362 Seiten |b Illustration | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 1 | |a Studies in Computational Intelligence |v volume 750 |x 1860-949X | |
650 | 4 | |a Engineering | |
650 | 4 | |a Information technology | |
650 | 4 | |a Business / Data processing | |
650 | 4 | |a E-commerce | |
650 | 4 | |a Computational intelligence | |
650 | 4 | |a Engineering | |
650 | 4 | |a Computational Intelligence | |
650 | 4 | |a IT in Business | |
650 | 4 | |a e-Commerce/e-business | |
700 | 1 | |a Villaverde, Karen |e Verfasser |0 (DE-588)114790507X |4 aut | |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-662-55993-2 |
830 | 0 | |a Studies in Computational Intelligence |v volume 750 |w (DE-604)BV020822171 |9 750 | |
999 | |a oai:aleph.bib-bvb.de:BVB01-030068354 |
Datensatz im Suchindex
_version_ | 1804178117488541696 |
---|---|
any_adam_object | |
author | Kosheleva, Olga Villaverde, Karen |
author_GND | (DE-588)1147905002 (DE-588)114790507X |
author_facet | Kosheleva, Olga Villaverde, Karen |
author_role | aut aut |
author_sort | Kosheleva, Olga |
author_variant | o k ok k v kv |
building | Verbundindex |
bvnumber | BV044671006 |
classification_rvk | ST 300 |
ctrlnum | (OCoLC)1013688425 (DE-599)BVBBV044671006 |
dewey-full | 006.3 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3 |
dewey-search | 006.3 |
dewey-sort | 16.3 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01647nam a2200445 cb4500</leader><controlfield tag="001">BV044671006</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20171207 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">171206s2018 a||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783662559918</subfield><subfield code="c">hbk.</subfield><subfield code="9">978-3-662-55991-8</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1013688425</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV044671006</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-11</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 300</subfield><subfield code="0">(DE-625)143650:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Kosheleva, Olga</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1147905002</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">How interval and fuzzy techniques can improve teaching</subfield><subfield code="b">processing educational data: from traditional statistical techniques to an appropriate combination of rrobabilistic, interval, and fuzzy approaches</subfield><subfield code="c">by Olga Kosheleva, Karen Villaverde</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin</subfield><subfield code="b">Springer</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">x, 362 Seiten</subfield><subfield code="b">Illustration</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Studies in Computational Intelligence</subfield><subfield code="v">volume 750</subfield><subfield code="x">1860-949X</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Information technology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Business / Data processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">E-commerce</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computational intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computational Intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">IT in Business</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">e-Commerce/e-business</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Villaverde, Karen</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)114790507X</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-3-662-55993-2</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Studies in Computational Intelligence</subfield><subfield code="v">volume 750</subfield><subfield code="w">(DE-604)BV020822171</subfield><subfield code="9">750</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030068354</subfield></datafield></record></collection> |
id | DE-604.BV044671006 |
illustrated | Illustrated |
indexdate | 2024-07-10T07:58:52Z |
institution | BVB |
isbn | 9783662559918 |
issn | 1860-949X |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030068354 |
oclc_num | 1013688425 |
open_access_boolean | |
owner | DE-11 |
owner_facet | DE-11 |
physical | x, 362 Seiten Illustration |
publishDate | 2018 |
publishDateSearch | 2018 |
publishDateSort | 2018 |
publisher | Springer |
record_format | marc |
series | Studies in Computational Intelligence |
series2 | Studies in Computational Intelligence |
spelling | Kosheleva, Olga Verfasser (DE-588)1147905002 aut How interval and fuzzy techniques can improve teaching processing educational data: from traditional statistical techniques to an appropriate combination of rrobabilistic, interval, and fuzzy approaches by Olga Kosheleva, Karen Villaverde Berlin Springer [2018] © 2018 x, 362 Seiten Illustration txt rdacontent n rdamedia nc rdacarrier Studies in Computational Intelligence volume 750 1860-949X Engineering Information technology Business / Data processing E-commerce Computational intelligence Computational Intelligence IT in Business e-Commerce/e-business Villaverde, Karen Verfasser (DE-588)114790507X aut Erscheint auch als Online-Ausgabe 978-3-662-55993-2 Studies in Computational Intelligence volume 750 (DE-604)BV020822171 750 |
spellingShingle | Kosheleva, Olga Villaverde, Karen How interval and fuzzy techniques can improve teaching processing educational data: from traditional statistical techniques to an appropriate combination of rrobabilistic, interval, and fuzzy approaches Studies in Computational Intelligence Engineering Information technology Business / Data processing E-commerce Computational intelligence Computational Intelligence IT in Business e-Commerce/e-business |
title | How interval and fuzzy techniques can improve teaching processing educational data: from traditional statistical techniques to an appropriate combination of rrobabilistic, interval, and fuzzy approaches |
title_auth | How interval and fuzzy techniques can improve teaching processing educational data: from traditional statistical techniques to an appropriate combination of rrobabilistic, interval, and fuzzy approaches |
title_exact_search | How interval and fuzzy techniques can improve teaching processing educational data: from traditional statistical techniques to an appropriate combination of rrobabilistic, interval, and fuzzy approaches |
title_full | How interval and fuzzy techniques can improve teaching processing educational data: from traditional statistical techniques to an appropriate combination of rrobabilistic, interval, and fuzzy approaches by Olga Kosheleva, Karen Villaverde |
title_fullStr | How interval and fuzzy techniques can improve teaching processing educational data: from traditional statistical techniques to an appropriate combination of rrobabilistic, interval, and fuzzy approaches by Olga Kosheleva, Karen Villaverde |
title_full_unstemmed | How interval and fuzzy techniques can improve teaching processing educational data: from traditional statistical techniques to an appropriate combination of rrobabilistic, interval, and fuzzy approaches by Olga Kosheleva, Karen Villaverde |
title_short | How interval and fuzzy techniques can improve teaching |
title_sort | how interval and fuzzy techniques can improve teaching processing educational data from traditional statistical techniques to an appropriate combination of rrobabilistic interval and fuzzy approaches |
title_sub | processing educational data: from traditional statistical techniques to an appropriate combination of rrobabilistic, interval, and fuzzy approaches |
topic | Engineering Information technology Business / Data processing E-commerce Computational intelligence Computational Intelligence IT in Business e-Commerce/e-business |
topic_facet | Engineering Information technology Business / Data processing E-commerce Computational intelligence Computational Intelligence IT in Business e-Commerce/e-business |
volume_link | (DE-604)BV020822171 |
work_keys_str_mv | AT koshelevaolga howintervalandfuzzytechniquescanimproveteachingprocessingeducationaldatafromtraditionalstatisticaltechniquestoanappropriatecombinationofrrobabilisticintervalandfuzzyapproaches AT villaverdekaren howintervalandfuzzytechniquescanimproveteachingprocessingeducationaldatafromtraditionalstatisticaltechniquestoanappropriatecombinationofrrobabilisticintervalandfuzzyapproaches |