Eintrag weiter verarbeiten
Online-Ressource

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I

Gespeichert in:

Personen und Körperschaften: Blockeel, Hendrik (VerfasserIn), Kersting, Kristian (HerausgeberIn), Nijssen, Siegfried (HerausgeberIn), Železný, Filip (HerausgeberIn)
Titel: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I/ edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný
Format: E-Book Konferenzbericht
Sprache: Englisch
veröffentlicht:
Berlin, Heidelberg Springer 2013
Gesamtaufnahme: SpringerLink
Lecture notes in computer science ; 8188
Schlagwörter:
Computational complexity
Optical pattern recognition
Computer Science
Computer science
Data mining
Information storage and retrieval systems
Artificial intelligence
Discrete mathematics.
Mathematical statistics.
Pattern recognition systems.
Konferenzschrift
Druckausg.: Machine learning and knowledge discovery in databases ; 1, Berlin : Springer, 2013, LIV, 691 S.
Quelle: Verbunddaten SWB
Zugangsinformationen: Elektronischer Volltext - Campuslizenz
LEADER 06119cam a22010212 4500
001 0-1652996699
003 DE-627
005 20240122104847.0
007 cr uuu---uuuuu
008 130911s2013 gw |||||o 00| ||eng c
020 |a 9783642409882  |9 978-3-642-40988-2 
024 7 |a 10.1007/978-3-642-40988-2  |2 doi 
035 |a (DE-627)1652996699 
035 |a (DE-576)393383490 
035 |a (DE-599)BSZ393383490 
035 |a (OCoLC)857390957 
035 |a (DE-He213)978-3-642-40988-2 
035 |a (EBP)04055130X 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
044 |c XA-DE  |c XA-DE-BE 
050 0 |a QA76.9.D343 
072 7 |a UNF  |2 bicssc 
072 7 |a UYQE  |2 bicssc 
072 7 |a COM021030  |2 bisacsh 
084 |a 54.72  |2 bkl 
084 |a 54.64  |2 bkl 
100 1 |a Blockeel, Hendrik  |4 aut 
245 1 0 |a Machine Learning and Knowledge Discovery in Databases  |b European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I  |c edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný 
264 1 |a Berlin, Heidelberg  |b Springer  |c 2013 
300 |a Online-Ressource (LIV, 691 p. 198 illus, online resource) 
336 |a Text  |b txt  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
490 1 |a Lecture Notes in Computer Science  |v 8188 
490 0 |a SpringerLink  |a Bücher 
500 |a Literaturangaben 
505 8 0 |a Reinforcement learningMarkov decision processes -- Active learning and optimization -- Learning from sequences -- Time series and spatio-temporal data -- Data streams -- Graphs and networks -- Social network analysis -- Natural language processing and information extraction -- Ranking and recommender systems -- Matrix and tensor analysis -- Structured output prediction, multi-label and multi-task learning -- Transfer learning -- Bayesian learning -- Graphical models -- Nearest-neighbor methods -- Ensembles -- Statistical learning -- Semi-supervised learning -- Unsupervised learning -- Subgroup discovery, outlier detection and anomaly detection -- Privacy and security -- Evaluation -- Applications -- Medical applications. 
520 |a This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; medical applications; nectar track; demo track 
650 0 |a Computational complexity 
650 0 |a Optical pattern recognition 
650 0 |a Computer Science 
650 0 |a Computer science 
650 0 |a Computational complexity 
650 0 |a Data mining 
650 0 |a Information storage and retrieval systems 
650 0 |a Artificial intelligence 
650 0 |a Optical pattern recognition 
650 0 |a Computer science 
650 0 |a Data mining 
650 0 |a Information storage and retrieval systems 
650 0 |a Artificial intelligence 
650 0 |a Discrete mathematics. 
650 0 |a Mathematical statistics. 
650 0 |a Pattern recognition systems. 
655 7 |a Konferenzschrift  |0 (DE-588)1071861417  |0 (DE-627)826484824  |0 (DE-576)433375485  |2 gnd-content 
700 1 |a Kersting, Kristian  |d 1973-  |e Hrsg.  |0 (DE-588)173912001  |0 (DE-627)698812786  |0 (DE-576)134749928  |4 edt 
700 1 |a Nijssen, Siegfried  |e Hrsg.  |4 edt 
700 1 |a Železný, Filip  |e Hrsg.  |4 edt 
776 1 |z 9783642409875 
776 0 8 |i Druckausg.  |t Machine learning and knowledge discovery in databases ; 1  |d Berlin : Springer, 2013  |h LIV, 691 S.  |w (DE-627)1475744838  |w (DE-576)405744838  |z 9783642409875  |z 3642409873 
830 0 |a Lecture notes in computer science  |v 8188  |9 8188  |w (DE-627)316228877  |w (DE-576)093890923  |w (DE-600)2018930-8  |x 1611-3349  |7 ns 
856 4 0 |u https://doi.org/10.1007/978-3-642-40988-2  |m X:SPRINGER  |x Verlag  |z lizenzpflichtig  |3 Volltext 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-40988-2  |x Resolving-System  |z lizenzpflichtig  |3 Volltext 
856 4 2 |u https://swbplus.bsz-bw.de/bsz393383490cov.jpg  |m V:DE-576  |m X:springer  |q image/jpeg  |v 20150316113331  |3 Cover 
889 |w (DE-627)766673774 
912 |a ZDB-2-LNC  |b 2013 
912 |a ZDB-2-SCS  |b 2013 
912 |a ZDB-2-SEB 
912 |a ZDB-2-SXCS  |b 2013 
912 |a ZDB-2-SEB  |b 2013 
935 |h GBV  |i ExPruef 
936 b k |a 54.72  |j Künstliche Intelligenz  |0 (DE-627)10641240X 
936 b k |a 54.64  |j Datenbanken  |0 (DE-627)106410865 
951 |a BO 
900 |a Kersting, K. 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-40988-2  |9 DE-14 
852 |a DE-14  |x epn:3362005217  |z 2013-09-11T10:24:10Z 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-40988-2  |9 DE-15 
852 |a DE-15  |x epn:3362005241  |z 2013-09-11T10:24:10Z 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-40988-2  |9 DE-Ch1 
852 |a DE-Ch1  |x epn:3362005284  |z 2013-09-11T10:24:10Z 
976 |h Elektronischer Volltext - Campuslizenz 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-40988-2  |z Zum Online-Dokument  |9 DE-Zi4 
852 |a DE-Zi4  |x epn:3362005314  |z 2013-09-11T10:24:10Z 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-40988-2  |9 DE-520 
852 |a DE-520  |x epn:3362005349  |z 2013-09-11T10:24:10Z 
980 |a 1652996699  |b 0  |k 1652996699  |o 393383490 
openURL url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=Machine+Learning+and+Knowledge+Discovery+in+Databases%3A+European+Conference%2C+ECML+PKDD+2013%2C+Prague%2C+Czech+Republic%2C+September+23-27%2C+2013%2C+Proceedings%2C+Part+I&rft.date=2013&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=book&rft.btitle=Machine+Learning+and+Knowledge+Discovery+in+Databases%3A+European+Conference%2C+ECML+PKDD+2013%2C+Prague%2C+Czech+Republic%2C+September+23-27%2C+2013%2C+Proceedings%2C+Part+I&rft.series=Lecture+notes+in+computer+science%2C+8188&rft.au=Blockeel%2C+Hendrik&rft.pub=Springer&rft.edition=&rft.isbn=3642409881
SOLR
_version_ 1792258625408860160
access_facet Electronic Resources
author Blockeel, Hendrik
author2 Kersting, Kristian, Nijssen, Siegfried, Železný, Filip
author2_role edt, edt, edt
author2_variant k k kk, s n sn, f ž fž
author_facet Blockeel, Hendrik, Kersting, Kristian, Nijssen, Siegfried, Železný, Filip
author_role aut
author_sort Blockeel, Hendrik
author_variant h b hb
callnumber-first Q - Science
callnumber-label QA76
callnumber-raw QA76.9.D343
callnumber-search QA76.9.D343
callnumber-sort QA 276.9 D343
callnumber-subject QA - Mathematics
collection ZDB-2-LNC, ZDB-2-SCS, ZDB-2-SEB, ZDB-2-SXCS
contents Reinforcement learningMarkov decision processes -- Active learning and optimization -- Learning from sequences -- Time series and spatio-temporal data -- Data streams -- Graphs and networks -- Social network analysis -- Natural language processing and information extraction -- Ranking and recommender systems -- Matrix and tensor analysis -- Structured output prediction, multi-label and multi-task learning -- Transfer learning -- Bayesian learning -- Graphical models -- Nearest-neighbor methods -- Ensembles -- Statistical learning -- Semi-supervised learning -- Unsupervised learning -- Subgroup discovery, outlier detection and anomaly detection -- Privacy and security -- Evaluation -- Applications -- Medical applications., This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; medical applications; nectar track; demo track
ctrlnum (DE-627)1652996699, (DE-576)393383490, (DE-599)BSZ393383490, (OCoLC)857390957, (DE-He213)978-3-642-40988-2, (EBP)04055130X
de15_date 2013-09-11T10:24:10Z
dech1_date 2013-09-11T10:24:10Z
doi_str_mv 10.1007/978-3-642-40988-2
facet_912a ZDB-2-LNC, ZDB-2-SCS, ZDB-2-SEB, ZDB-2-SXCS
facet_avail Online
finc_class_facet Informatik, Mathematik
fincclass_txtF_mv science-computerscience
footnote Literaturangaben
format eBook, ConferenceProceedings
format_access_txtF_mv Book, E-Book
format_de105 Ebook
format_de14 Book, E-Book
format_de15 Book, E-Book
format_del152 Buch
format_detail_txtF_mv text-online-monograph-independent-conference
format_dezi4 e-Book
format_finc Book, E-Book
format_legacy ElectronicBook
format_legacy_nrw Book, E-Book
format_nrw Book, E-Book
format_strict_txtF_mv E-Book
genre Konferenzschrift (DE-588)1071861417 (DE-627)826484824 (DE-576)433375485 gnd-content
genre_facet Konferenzschrift
geogr_code not assigned
geogr_code_person not assigned
hierarchy_parent_id 0-316228877
hierarchy_parent_title Lecture notes in computer science
hierarchy_sequence 8188
hierarchy_top_id 0-316228877
hierarchy_top_title Lecture notes in computer science
id 0-1652996699
illustrated Not Illustrated
imprint Berlin, Heidelberg, Springer, 2013
imprint_str_mv Berlin, Heidelberg: Springer, 2013
institution DE-14, DE-Zi4, DE-Ch1, DE-520, DE-15
is_hierarchy_id 0-1652996699
is_hierarchy_title Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I
isbn 9783642409882
isbn_isn_mv 9783642409875, 3642409873
issn_isn_mv 1611-3349
kxp_id_str 1652996699
language English
last_indexed 2024-02-29T18:23:39.152Z
local_heading_facet_dezwi2 Computational complexity, Optical pattern recognition, Computer Science, Computer science, Data mining, Information storage and retrieval systems, Artificial intelligence, Discrete mathematics., Mathematical statistics., Pattern recognition systems.
marc024a_ct_mv 10.1007/978-3-642-40988-2
match_str blockeel2013machinelearningandknowledgediscoveryindatabaseseuropeanconferenceecmlpkdd2013pragueczechrepublicseptember23272013proceedingsparti
mega_collection Verbunddaten SWB
multipart_link 093890923
multipart_part (093890923)8188
names_id_str_mv (DE-588)173912001, (DE-627)698812786, (DE-576)134749928
oclc_num 857390957
physical Online-Ressource (LIV, 691 p. 198 illus, online resource)
publishDate 2013
publishDateSort 2013
publishPlace Berlin, Heidelberg
publisher Springer
record_format marcfinc
record_id 393383490
recordtype marcfinc
rsn_id_str_mv (DE-15)3249735
rvk_facet No subject assigned
series Lecture notes in computer science, 8188
series2 Lecture Notes in Computer Science ; 8188, SpringerLink ; Bücher
source_id 0
spelling Blockeel, Hendrik aut, Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný, Berlin, Heidelberg Springer 2013, Online-Ressource (LIV, 691 p. 198 illus, online resource), Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Lecture Notes in Computer Science 8188, SpringerLink Bücher, Literaturangaben, Reinforcement learningMarkov decision processes -- Active learning and optimization -- Learning from sequences -- Time series and spatio-temporal data -- Data streams -- Graphs and networks -- Social network analysis -- Natural language processing and information extraction -- Ranking and recommender systems -- Matrix and tensor analysis -- Structured output prediction, multi-label and multi-task learning -- Transfer learning -- Bayesian learning -- Graphical models -- Nearest-neighbor methods -- Ensembles -- Statistical learning -- Semi-supervised learning -- Unsupervised learning -- Subgroup discovery, outlier detection and anomaly detection -- Privacy and security -- Evaluation -- Applications -- Medical applications., This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; medical applications; nectar track; demo track, Computational complexity, Optical pattern recognition, Computer Science, Computer science, Data mining, Information storage and retrieval systems, Artificial intelligence, Discrete mathematics., Mathematical statistics., Pattern recognition systems., Konferenzschrift (DE-588)1071861417 (DE-627)826484824 (DE-576)433375485 gnd-content, Kersting, Kristian 1973- Hrsg. (DE-588)173912001 (DE-627)698812786 (DE-576)134749928 edt, Nijssen, Siegfried Hrsg. edt, Železný, Filip Hrsg. edt, 9783642409875, Druckausg. Machine learning and knowledge discovery in databases ; 1 Berlin : Springer, 2013 LIV, 691 S. (DE-627)1475744838 (DE-576)405744838 9783642409875 3642409873, Lecture notes in computer science 8188 8188 (DE-627)316228877 (DE-576)093890923 (DE-600)2018930-8 1611-3349 ns, https://doi.org/10.1007/978-3-642-40988-2 X:SPRINGER Verlag lizenzpflichtig Volltext, http://dx.doi.org/10.1007/978-3-642-40988-2 Resolving-System lizenzpflichtig Volltext, https://swbplus.bsz-bw.de/bsz393383490cov.jpg V:DE-576 X:springer image/jpeg 20150316113331 Cover, (DE-627)766673774, http://dx.doi.org/10.1007/978-3-642-40988-2 DE-14, DE-14 epn:3362005217 2013-09-11T10:24:10Z, http://dx.doi.org/10.1007/978-3-642-40988-2 DE-15, DE-15 epn:3362005241 2013-09-11T10:24:10Z, http://dx.doi.org/10.1007/978-3-642-40988-2 DE-Ch1, DE-Ch1 epn:3362005284 2013-09-11T10:24:10Z, http://dx.doi.org/10.1007/978-3-642-40988-2 Zum Online-Dokument DE-Zi4, DE-Zi4 epn:3362005314 2013-09-11T10:24:10Z, http://dx.doi.org/10.1007/978-3-642-40988-2 DE-520, DE-520 epn:3362005349 2013-09-11T10:24:10Z
spellingShingle Blockeel, Hendrik, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I, Lecture notes in computer science, 8188, Reinforcement learningMarkov decision processes -- Active learning and optimization -- Learning from sequences -- Time series and spatio-temporal data -- Data streams -- Graphs and networks -- Social network analysis -- Natural language processing and information extraction -- Ranking and recommender systems -- Matrix and tensor analysis -- Structured output prediction, multi-label and multi-task learning -- Transfer learning -- Bayesian learning -- Graphical models -- Nearest-neighbor methods -- Ensembles -- Statistical learning -- Semi-supervised learning -- Unsupervised learning -- Subgroup discovery, outlier detection and anomaly detection -- Privacy and security -- Evaluation -- Applications -- Medical applications., This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; medical applications; nectar track; demo track, Computational complexity, Optical pattern recognition, Computer Science, Computer science, Data mining, Information storage and retrieval systems, Artificial intelligence, Discrete mathematics., Mathematical statistics., Pattern recognition systems., Konferenzschrift
swb_id_str 393383490
title Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I
title_auth Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I
title_full Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný
title_fullStr Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný
title_full_unstemmed Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný
title_in_hierarchy 8188. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I (2013)
title_short Machine Learning and Knowledge Discovery in Databases
title_sort machine learning and knowledge discovery in databases european conference ecml pkdd 2013 prague czech republic september 23 27 2013 proceedings part i
title_sub European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I
title_unstemmed Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I
topic Computational complexity, Optical pattern recognition, Computer Science, Computer science, Data mining, Information storage and retrieval systems, Artificial intelligence, Discrete mathematics., Mathematical statistics., Pattern recognition systems., Konferenzschrift
topic_facet Computational complexity, Optical pattern recognition, Computer Science, Computer science, Data mining, Information storage and retrieval systems, Artificial intelligence, Discrete mathematics., Mathematical statistics., Pattern recognition systems., Konferenzschrift
url https://doi.org/10.1007/978-3-642-40988-2, http://dx.doi.org/10.1007/978-3-642-40988-2, https://swbplus.bsz-bw.de/bsz393383490cov.jpg