Diagnostic test approaches to machine learning and commonsense reasoning systems
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Format: | Buch |
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Sprache: | English |
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Hershey, PA
Information Science Reference
c2013
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LEADER | 00000nam a2200000zc 4500 | ||
---|---|---|---|
001 | BV042050348 | ||
003 | DE-604 | ||
005 | 20141028 | ||
007 | t | ||
008 | 140829s2013 xxu |||| 00||| eng d | ||
010 | |a 2012004765 | ||
020 | |a 9781466619005 |c hardcover |9 978-1-466-61900-5 | ||
020 | |a 9781466619029 |c print & perpetual access |9 978-1-466-61902-9 | ||
035 | |a (OCoLC)892944274 | ||
035 | |a (DE-599)BVBBV042050348 | ||
040 | |a DE-604 |b ger |e aacr | ||
041 | 0 | |a eng | |
044 | |a xxu |c US | ||
049 | |a DE-384 |a DE-29T | ||
050 | 0 | |a Q325.5 | |
082 | 0 | |a 006.3/12 | |
084 | |a ST 300 |0 (DE-625)143650: |2 rvk | ||
245 | 1 | 0 | |a Diagnostic test approaches to machine learning and commonsense reasoning systems |c Xenia Naidenova ... [ed.] |
264 | 1 | |a Hershey, PA |b Information Science Reference |c c2013 | |
300 | |a xxvi, 301 p. |c 29 cm | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
500 | |a "This book analyzes and compares the existing and most effective algorithms for mining through logical rules and shows how these approaches use shared concepts for mining logical rules, including item, item set, transaction, frequent itemset, maximal itemset, generator (non-redundant or irredundant itemset), closed itemset, support, and confidence"-- Provided by publisher. | ||
500 | |a Includes bibliographical references and index | ||
650 | 4 | |a Machine learning | |
650 | 4 | |a Data mining | |
650 | 4 | |a Pattern recognition systems | |
650 | 4 | |a Computer algorithms | |
650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Common sense reasoning |0 (DE-588)4401598-7 |2 gnd |9 rswk-swf |
655 | 7 | |0 (DE-588)4143413-4 |a Aufsatzsammlung |2 gnd-content | |
689 | 0 | 0 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
689 | 0 | 1 | |a Common sense reasoning |0 (DE-588)4401598-7 |D s |
689 | 0 | |5 DE-604 | |
700 | 1 | |a Naidenova, Xenia |e Sonstige |4 oth | |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-466-61901-2 |
999 | |a oai:aleph.bib-bvb.de:BVB01-027491450 |
Datensatz im Suchindex
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any_adam_object | |
building | Verbundindex |
bvnumber | BV042050348 |
callnumber-first | Q - Science |
callnumber-label | Q325 |
callnumber-raw | Q325.5 |
callnumber-search | Q325.5 |
callnumber-sort | Q 3325.5 |
callnumber-subject | Q - General Science |
classification_rvk | ST 300 |
ctrlnum | (OCoLC)892944274 (DE-599)BVBBV042050348 |
dewey-full | 006.3/12 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3/12 |
dewey-search | 006.3/12 |
dewey-sort | 16.3 212 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Book |
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genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
genre_facet | Aufsatzsammlung |
id | DE-604.BV042050348 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T01:11:25Z |
institution | BVB |
isbn | 9781466619005 9781466619029 |
language | English |
lccn | 2012004765 |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027491450 |
oclc_num | 892944274 |
open_access_boolean | |
owner | DE-384 DE-29T |
owner_facet | DE-384 DE-29T |
physical | xxvi, 301 p. 29 cm |
publishDate | 2013 |
publishDateSearch | 2013 |
publishDateSort | 2013 |
publisher | Information Science Reference |
record_format | marc |
spelling | Diagnostic test approaches to machine learning and commonsense reasoning systems Xenia Naidenova ... [ed.] Hershey, PA Information Science Reference c2013 xxvi, 301 p. 29 cm txt rdacontent n rdamedia nc rdacarrier "This book analyzes and compares the existing and most effective algorithms for mining through logical rules and shows how these approaches use shared concepts for mining logical rules, including item, item set, transaction, frequent itemset, maximal itemset, generator (non-redundant or irredundant itemset), closed itemset, support, and confidence"-- Provided by publisher. Includes bibliographical references and index Machine learning Data mining Pattern recognition systems Computer algorithms Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Common sense reasoning (DE-588)4401598-7 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Maschinelles Lernen (DE-588)4193754-5 s Common sense reasoning (DE-588)4401598-7 s DE-604 Naidenova, Xenia Sonstige oth Erscheint auch als Online-Ausgabe 978-1-466-61901-2 |
spellingShingle | Diagnostic test approaches to machine learning and commonsense reasoning systems Machine learning Data mining Pattern recognition systems Computer algorithms Maschinelles Lernen (DE-588)4193754-5 gnd Common sense reasoning (DE-588)4401598-7 gnd |
subject_GND | (DE-588)4193754-5 (DE-588)4401598-7 (DE-588)4143413-4 |
title | Diagnostic test approaches to machine learning and commonsense reasoning systems |
title_auth | Diagnostic test approaches to machine learning and commonsense reasoning systems |
title_exact_search | Diagnostic test approaches to machine learning and commonsense reasoning systems |
title_full | Diagnostic test approaches to machine learning and commonsense reasoning systems Xenia Naidenova ... [ed.] |
title_fullStr | Diagnostic test approaches to machine learning and commonsense reasoning systems Xenia Naidenova ... [ed.] |
title_full_unstemmed | Diagnostic test approaches to machine learning and commonsense reasoning systems Xenia Naidenova ... [ed.] |
title_short | Diagnostic test approaches to machine learning and commonsense reasoning systems |
title_sort | diagnostic test approaches to machine learning and commonsense reasoning systems |
topic | Machine learning Data mining Pattern recognition systems Computer algorithms Maschinelles Lernen (DE-588)4193754-5 gnd Common sense reasoning (DE-588)4401598-7 gnd |
topic_facet | Machine learning Data mining Pattern recognition systems Computer algorithms Maschinelles Lernen Common sense reasoning Aufsatzsammlung |
work_keys_str_mv | AT naidenovaxenia diagnostictestapproachestomachinelearningandcommonsensereasoningsystems |