Suchergebnisse - "Database Applications— Data mining"

Quelle: NetMob 2013-Third International Conference on the Analysis of Mobile Phone Datasets, pp. 10–12, MIT Media Lab, Cambridge, USA, 1-3 May 2013
info:cnr-pdr/source/autori:Trasarti R., Olteanu-Raimond A., Nanni M., Couronné T., Furletti B., Giannotti F., Smoreda Z., Ziemlicki C./congresso_nome:NetMob 2013-Third International Conference on the Analysis of Mobile Phone Datasets/congresso_luogo:MIT Media Lab, Cambridge, USA/congresso_data:1-3 May 2013/anno:2013/pagina_da:10/pagina_a:12/intervallo_pagine:10–12
Telecommunications policy (2014). doi:10.1016/j.telpol.2013.12.002
info:cnr-pdr/source/autori:Trasarti R.; Olteanu-Raimond A.; Nanni M.; Couronné T.; Furletti B.; Giannotti F.; Smoreda Z.; Ziemlicki C./titolo:Discovering urban and country dynamics from mobile phone data with spatial correlation patterns/doi:10.1016%2Fj.telpol.2013.12.002/rivista:Telecommunications policy/anno:2014/pagina_da:/pagina_a:/intervallo_pagine:/volume

Schlagwörter: Urban dynamics, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Location data, 13. Climate action, Mobility patterns, 11. Sustainability, 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, [SHS] Humanities and Social Sciences, 02 engineering and technology, H.2.8 Database Applications. Data Mining, Mobile phone

Dateibeschreibung: application/pdf

Zugangs-URL: http://perso.uclouvain.be/vincent.blondel/netmob/2013/NetMob2013-abstracts.pdf
http://www.cnr.it/prodotto/i/279117
https://publications.cnr.it/doc/279117
https://dl.acm.org/doi/10.1016/j.telpol.2013.12.002
https://www.infona.pl/resource/bwmeta1.element.elsevier-981ead44-3038-3ecc-935a-2b44c6f25333
https://www.sciencedirect.com/science/article/pii/S0308596113002012
http://perso.uclouvain.be/vincent.blondel/netmob/2013/NetMob2013-abstracts.pdf
https://hdl.handle.net/20.500.14243/244629

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4

'Engine Matters': A First Large Scale Data Driven Study on Cyclists' Performance

Autoren: CINTIA, PAOLO PAPPALARDO, LUCA PEDRESCHI, DINO

Quelle: Workshop on Data Mining Case Studies and Practice Prize, pp. 147–153, Dallas, US, 7 December 2013
info:cnr-pdr/source/autori:Cintia P., Pappalardo L., Pedreschi D./congresso_nome:Workshop on Data Mining Case Studies and Practice Prize/congresso_luogo:Dallas, US/congresso_data:7 December 2013/anno:2013/pagina_da:147/pagina_a:153/intervallo_pagine:147–153

Schlagwörter: 2. Zero hunger, 03 medical and health sciences, 0302 clinical medicine, H 2.8 Database Applications. Data mining, 5. Gender equality, 13. Climate action, 4. Education, Data Mining, 10. No inequality, 7. Clean energy, 62H30

Dateibeschreibung: application/pdf

Zugangs-URL: http://www.dataminingcasestudies.com/Program.html
https://hdl.handle.net/20.500.14243/255152
https://doi.org/10.1109/ICDMW.2013.41
https://hdl.handle.net/11568/501682
https://doi.org/10.1109/ICDMW.2013.41
https://hdl.handle.net/11568/474469

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5

Comparing General Mobility and Mobility by Car

Autoren: Fosca Giannotti Salvatore Rinzivillo Filippo Simini et al.

Quelle: 1st BRICS Countries Congress and 11th Brazilian Congress on Computational Intelligence, Recife, Brazil, 8-11 September 2013
info:cnr-pdr/source/autori:Pappalardo L., Simini F., Rinzivillo S., Pedreschi D., Giannotti F./congresso_nome:1st BRICS Countries Congress and 11th Brazilian Congress on Computational Intelligence/congresso_luogo:Recife, Brazil/congresso_data:8-11 September 2013/anno:2013/pagina_da:/pagina_a:/intervallo_pagine

Schlagwörter: 0301 basic medicine, Complex systems, Network Science, 0303 health sciences, 03 medical and health sciences, Human mobility, 11. Sustainability, Human Mobility, Data Mining, Artificial Intelligence, H.2.8 Database Applications. Data Mining

Dateibeschreibung: application/pdf

Zugangs-URL: https://publications.cnr.it/doc/278987
http://brics-cci.org/technical-program-of-symposia/
http://www.cnr.it/prodotto/i/278987
https://ieeexplore.ieee.org/document/6855925/
https://www.di.unipi.it/~lpappalardo/files/papers/paper2.pdf
http://brics-cci.org/technical-program-of-symposia/
https://hdl.handle.net/20.500.14243/255151
https://hdl.handle.net/11568/858267
https://doi.org/10.1109/BRICS-CCI-CBIC.2013.116

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6

ComeTogether: Discovering Communities of Places in Mobility Data

Autoren: Ramalho Brilhante I Berlingerio M Trasarti R et al.

Quelle: MDM 2012-2012 IEEE 13th International Conference on Mobile Data Management, pp. 268–273, Bengaluru, India, 23-26 July 2012
info:cnr-pdr/source/autori:Ramalho Brilhante I., Berlingerio M., Trasarti R., Renso C., Fernandes de Macedo J. A., Casanova M. A./congresso_nome:MDM 2012-2012 IEEE 13th International Conference on Mobile Data Management/congresso_luogo:Bengaluru, India/congresso_data:23-26 July 2012/anno:2012/pagina_da:268/pagina_a:273/intervallo_pagine:268–273

Schlagwörter: 58-02, 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, GPS, H.2.8 Database applications. Data mining, 11. Sustainability, Community, Graph Mining

Dateibeschreibung: application/pdf

Zugangs-URL: http://www.inf.puc-rio.br/%7Ecasanova/Publications/Papers/2012-Papers/2012-MDM.pdf
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006341398
https://ieeexplore.ieee.org/document/6341398/
http://www.inf.puc-rio.br/~casanova/Publications/Papers/2012-Papers/2012-MDM.pdf
http://ieeexplore.ieee.org/document/6341398/
https://dblp.uni-trier.de/db/conf/mdm/mdm2012.html#BrilhanteBTRMC12
https://hdl.handle.net/20.500.14243/4484
https://doi.org/10.1109/MDM.2012.17

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7

Intelligent scientific authoring tools: Interactive data mining for constructive uses of citation networks

Autoren: Berendt, Bettina Krause, Beate Kolbe-Nusser, Sebastian

Quelle: Information Processing & Management. 46:1-10

Schlagwörter: Technology, 4609 Information systems, information-science, Information & Library Sciences, 02 engineering and technology, cocitation, digital libraries, libraries - user issues, 4610 Library and information studies, SEARCH, [H.3.3] Information storage and retrieval - information, citation analysis, 0202 electrical engineering, electronic engineering, information engineering, [h.3.3] information storage and retrieval - information, [H.2.8] Database management - database applications - data mining, cluster, Information Science & Library Science, [H.3.7] information storage and retrieval - digital, [h.3.5] information storage and retrieval - online information services - web-based services, search, Science & Technology, Computer Science, Information Systems, COCITATION, 05 social sciences, 0804 Data Format, CLUSTER, [h.3.7] information storage and retrieval - digital, Citation analysis, 0806 Information Systems, Computer Science, LIBRARY, [K.3.2] Computers and education - computer and information science education - literacy, document-retrieval, [H.3.5] Information storage and retrieval - online information services - Web-based services, 0509 other social sciences, [h.2.8] database management - database applications - data mining, search and retrieval -search process, information filtering, [k.3.2] computers and education - computer and information science education - literacy, 0807 Library and Information Studies

Zugangs-URL: https://lirias.kuleuven.be/bitstream/123456789/255612/1/first_version.pdf
https://lirias.kuleuven.be/handle/123456789/255612
https://doi.org/10.1016/j.ipm.2009.08.002

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8

Memory-efficient frequent-itemset mining

Autoren: Schlegel, Benjamin Gemulla, Rainer Lehner, Wolfgang

Quelle: Schlegel, B, Gemulla, R & Lehner, W 2011, Memory-efficient frequent-itemset mining. in Advances in Database Technology-EDBT 2011 : 14th International Conference on Extending Database Technology, Proceedings. Association for Computing Machinery, ACM International Conference Proceeding Series, pp. 461-472, 14th International Conference on Extending Database Technology: Advances in Database Technology, EDBT 2011, Uppsala, Sweden, 22/03/2011. https://doi.org/10.1145/1951365.1951420

Schlagwörter: ddc:004, Algorithmen, Leistungsfähigkeit, Datenbankmanagement, Datenbankanwendungen, Data Mining, Datenstrukturen, Performance, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Algorithms, Performance, Database Management, Database Applications, Data mining, Data structures, Algorithms

Zugangs-URL: https://dblp.uni-trier.de/db/conf/edbt/edbt2011.html#SchlegelGL11
https://doi.org/10.1145/1951365.1951420
http://openproceedings.org/2011/conf/edbt/SchlegelGL11.pdf
https://openproceedings.org/2011/conf/edbt/SchlegelGL11.pdf
https://dl.acm.org/doi/10.1145/1951365.1951420
http://pubman.mpdl.mpg.de/pubman/item/escidoc:1562707
https://tud.qucosa.de/api/qucosa:80631/attachment/ATT-0/
https://tud.qucosa.de/id/qucosa:80631

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9

Preserving privacy in semantic-rich trajectories of human mobility

Autoren: Monreale A Trasarti R Renso C et al.

Quelle: 3rd ACM SIGSPATIAL International Workshop on Security and Privacy in GIS and LBS, pp. 47, San Jose, CA, USA, 3-5 November 2010
info:cnr-pdr/source/autori:Monreale A.; Trasarti R.; Renso C.; Pedreschi D.; Bogorny V./congresso_nome:3rd ACM SIGSPATIAL International Workshop on Security and Privacy in GIS and LBS/congresso_luogo:San Jose, CA, USA/congresso_data:3-5 November 2010/anno:2010/pagina_da:/pagina_a:47/intervallo_pagine:47

Schlagwörter: Privacy semantic trajectories, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 68U99, Database Applications. Data mining

Dateibeschreibung: application/pdf

Zugangs-URL: http://www.inf.ufsc.br/~vania/artigos/ppsthm.pdf
https://core.ac.uk/display/80249326
https://dblp.uni-trier.de/db/conf/gis/springl2010.html#MonrealeTRPB10
https://arpi.unipi.it/handle/11568/247401
https://dl.acm.org/doi/10.1145/1868470.1868481
http://www.inf.ufsc.br/%7Evania/artigos/ppsthm.pdf
https://dl.acm.org/citation.cfm?id=1868481
https://hdl.handle.net/20.500.14243/63110
https://doi.org/10.1145/1868470.1868481
https://hdl.handle.net/11568/247401
https://doi.org/10.1145/1868470.1868481

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10

Detecting Task-Based Query Sessions Using Collaborative Knowledge

Autoren: LUCCHESE, Claudio ORLANDO, Salvatore R. Perego et al.

Quelle: 2010 International Workshop on Intelligent Web Interaction, Toronto, Canada, 31 Agosto 2010
info:cnr-pdr/source/autori:Lucchese C.; Orlando S.; Perego R.; Silvestri F.; Tolomei G./congresso_nome:2010 International Workshop on Intelligent Web Interaction/congresso_luogo:Toronto, Canada/congresso_data:31 Agosto 2010/anno:2010/pagina_da:/pagina_a:/intervallo_pagine

Schlagwörter: query clustering, query log session breaking, task-based session, web data mining, Query log session breaking, Task-based session, Information Search and Retrieval, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Database Applications. Data mining, Web data mining

Dateibeschreibung: application/pdf

Zugangs-URL: http://www.cnr.it/prodotto/i/92074
https://publications.cnr.it/doc/92074
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005614473
https://iris.unive.it/handle/10278/35266
https://dl.acm.org/doi/10.1109/WI-IAT.2010.281
http://ieeexplore.ieee.org/document/5614473/
https://ieeexplore.ieee.org/document/5614473/
https://hdl.handle.net/20.500.14243/63075
https://hdl.handle.net/11577/3262051
https://doi.org/10.1109/WI-IAT.2010.281

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11

On Using Query Logs for Static Index Pruning

Autoren: Lam H. T. Perego R. Silvestri F.

Quelle: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, pp. 167–170, Toronto, Canada, August 31-September 3 2010
info:cnr-pdr/source/autori:Lam H. T.; Perego R.; Silvestri F./congresso_nome:IEEE%2FWIC%2FACM International Conference on Web Intelligence and Intelligent Agent Technology/congresso_luogo:Toronto, Canada/congresso_data:August 31-September 3 2010/anno:2010/pagina_da:167/pagina_a:170/intervallo_pagine:167–170

Schlagwörter: Query log mining, Static pruning, Information retrieval, Inverted index, Query log, 0202 electrical engineering, electronic engineering, information engineering, Indexing, 02 engineering and technology, Database Applications. Data mining, Search engine

Dateibeschreibung: application/pdf

Zugangs-URL: https://dblp.uni-trier.de/db/conf/webi/webi2010.html#LamPS10
https://www.narcis.nl/publication/RecordID/oai%3Apure.tue.nl%3Apublications%2Fb0ec9c33-464c-4867-b808-3cb5f47195c0
https://dl.acm.org/doi/10.1109/WI-IAT.2010.139
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005616239
http://doi.ieeecomputersociety.org/10.1109/WI-IAT.2010.139

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12

Towards a task-based search and recommender systems

Autoren: TOLOMEI, GABRIELE ORLANDO, Salvatore F. Silvestri

Quelle: IEEE 26th International Conference on Data Engineering, PhD Workshop, pp. 333–336, Long Beach, CA (USA), 1-6 Marzo 2010
info:cnr-pdr/source/autori:Tolomei G.; Orlando S.; Silvestri F./congresso_nome:IEEE 26th International Conference on Data Engineering, PhD Workshop/congresso_luogo:Long Beach, CA (USA)/congresso_data:1-6 Marzo 2010/anno:2010/pagina_da:333/pagina_a:336/intervallo_pagine:333–336

Schlagwörter: Query processing, Search engines, Information Search and Retrieval, Recommender systems, Database Applications. Data mining, search engines, information retrieval, query suggestions

Dateibeschreibung: application/pdf

Zugangs-URL: http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005452726
https://ieeexplore.ieee.org/document/5452726/
https://dblp.uni-trier.de/db/conf/icde/icdew2010.html#TolomeiOS10
https://iris.unive.it/handle/10278/35732
http://ieeexplore.ieee.org/document/5452726/?arnumber=5452726&tag=1
https://hdl.handle.net/20.500.14243/63096
https://doi.org/10.1109/ICDEW.2010.5452726

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13

Hiding co-occurring frequent itemsets

Autoren: Abul, Osman

Quelle: Proceedings of the 2009 EDBT/ICDT Workshops. :117-125

Schlagwörter: H.2.8 [database applications]: Data mining, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: http://cscdb.nku.edu/pais09/pdf/p-pais03.pdf
https://dl.acm.org/doi/10.1145/1698790.1698810
http://portal.acm.org/citation.cfm?doid=1698790.1698810
https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.178.3840&rep=rep1&type=pdf
http://cscdb.nku.edu/pais09/pdf/p-pais03.pdf
https://dl.acm.org/citation.cfm?doid=1698790.1698810
https://hdl.handle.net/20.500.11851/5765
https://doi.org/10.1145/1698790.1698810

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14

Blocking Anonymity Threats Raised by Frequent Itemset Mining

Autoren: ATZORI, MAURIZIO F. BONCHI F. GIANNOTTI et al.

Quelle: 5th IEEE International Conference on Data Mining, pp. 561–564, Houston, 27-30 November 2005
info:cnr-pdr/source/autori:Atzori M.; Bonchi F.; Giannotti F.; Pedreschi D./congresso_nome:5th IEEE International Conference on Data Mining/congresso_luogo:Houston/congresso_data:27-30 November 2005/anno:2005/pagina_da:561/pagina_a:564/intervallo_pagine:561–564

Schlagwörter: H.2.8 Database Applications. Data mining, 0202 electrical engineering, electronic engineering, information engineering, 0102 computer and information sciences, 02 engineering and technology, Frequent Patterns Mining, 16. Peace & justice, 01 natural sciences, Algorithms

Dateibeschreibung: application/pdf

Zugangs-URL: http://www.cnr.it/prodotto/i/91178
https://publications.cnr.it/doc/91178
http://ieeexplore.ieee.org/document/1565726/
http://dblp.uni-trier.de/db/conf/icdm/icdm2005.html#AtzoriBGP05
https://iris.unica.it/handle/11584/27364
https://dblp.uni-trier.de/db/conf/icdm/icdm2005.html#AtzoriBGP05
https://www.francescobonchi.com/icdm05_CR.pdf
http://www-kdd.isti.cnr.it/%7Ebonchi/icdm05_CR.pdf
https://hdl.handle.net/20.500.14243/61348
https://hdl.handle.net/11584/27364
https://hdl.handle.net/11568/99078

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15

Discriminative Feature Selection for Uncertain Graph Classification

Autoren: Xiangnan Kong Philip S. Yu Xue Wang et al.

Quelle: Proceedings of the 2013 SIAM International Conference on Data Mining. :82-93

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Databases, Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Databases (cs.DB), Machine Learning (stat.ML), 02 engineering and technology, H.2.8 Database Management, Database Applications-Data Mining, Machine Learning (cs.LG)

Zugangs-URL: https://europepmc.org/articles/pmc4418485?pdf=render
https://pubmed.ncbi.nlm.nih.gov/25949925
http://arxiv.org/abs/1301.6626
http://europepmc.org/articles/PMC4418485
https://epubs.siam.org/doi/pdf/10.1137/1.9781611972832.10
https://www.cs.uic.edu/~xkong/sdm13_slides.pdf
https://dblp.uni-trier.de/db/journals/corr/corr1301.html#abs-1301-6626
https://ui.adsabs.harvard.edu/abs/2013arXiv1301.6626K/abstract

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16

Understanding the patterns of car travel

Autoren: Luca Pappalardo Dino Pedreschi Fosca Giannotti et al.

Quelle: The European physical journal. Special topics 215 (2013): 61–73. doi:10.1140/epjst/e2013-01715-5
info:cnr-pdr/source/autori:Pappalardo L., Rinzivillo S., Qu Z., Pedreschi D., Giannotti F./titolo:Understanding the patterns of car travel/doi:10.1140%2Fepjst%2Fe2013-01715-5/rivista:The European physical journal. Special topics/anno:2013/pagina_da:61/pagina_a:73/intervallo_pagine:61–73/volume:215

Schlagwörter: Network Science, 0103 physical sciences, Human Mobility, Data Mining, H.2.8 Database Applications. Data Mining, 01 natural sciences

Zugangs-URL: https://link.springer.com/article/10.1140/epjst/e2013-01715-5
https://link.springer.com/content/pdf/10.1140/epjst/e2013-01715-5
http://ui.adsabs.harvard.edu/abs/2013EPJST.215...61P/abstract
https://arpi.unipi.it/handle/11568/151961
https://epjst.epj.org/articles/epjst/abs/2013/01/epjst215006/epjst215006.html
https://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26905581

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17

Association Rule in Data Mining For Large Transactional Database

Autoren: Maheshwari, Abhishek Kumar

Quelle: International Journal of Managment, IT and Engineering 2(3):358-380. 2012

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18

Interactive redescription mining

Autoren: Galbrun, Esther Miettinen, Pauli Computer Science Department Boston (Boston University) et al.

Weitere Verfasser: Galbrun, Esther Miettinen, Pauli Computer Science Department Boston (Boston University) et al.

Quelle: Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data, SIGMOD'14 ; https://hal.archives-ouvertes.fr/hal-01399276 ; Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data, SIGMOD'14, Jun 2014, Snowbird, UT, United States. ⟨10.1145/2588555.2594520⟩

Schlagwörter: Interactive Data Mining, Visualization, Brush-and-Link, Parallel Coordinates, H.2.8 [Information Systems]: Database Applications|Data Mining, H.5.2 [Information Interfaces and Presentation]: User Interfaces|Data Visualization Methods, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Geographisches Schlagwort: Snowbird, UT, United States

Relation: hal-01399276; https://hal.archives-ouvertes.fr/hal-01399276; https://hal.archives-ouvertes.fr/hal-01399276/document; https://hal.archives-ouvertes.fr/hal-01399276/file/GM14_interactive.pdf

Verfügbarkeit: https://hal.archives-ouvertes.fr/hal-01399276
https://hal.archives-ouvertes.fr/hal-01399276/document
https://hal.archives-ouvertes.fr/hal-01399276/file/GM14_interactive.pdf
https://doi.org/10.1145/2588555.2594520

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19

Audio Ergo Sum: A Personal Data Model for Musical Preferences

Autoren: Riccardo Guidotti Dino Pedreschi Giulio Rossetti

Quelle: Lecture Notes in Computer Science ISBN: 9783319502298
Software Technologies: Applications and Foundations, edited by Milazzo, Paolo; Varró, Dániel; Wimmer, Manuel, pp. 51–66, 2016
info:cnr-pdr/source/autori:Guidotti R.; Rossetti G.; Pedreschi D./titolo:Audio ergo sum. A personal data model for musical preferences/titolo_volume:Software Technologies: Applications and Foundations/curatori_volume:Milazzo, Paolo; Varró, Dániel; Wimmer, Manuel/editore:/anno:2016
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Software Technologies: Applications and Foundations

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Music Data Mining, Personal Data Model, H.2.8 DATABASE MANAGEMENT. Database Applications. Data Mining

Dateibeschreibung: application/pdf

Zugangs-URL: https://link.springer.com/10.1007/978-3-319-50230-4_5
http://link.springer.com/chapter/10.1007/978-3-319-50230-4_5
https://doi.org/10.1007/978-3-319-50230-4_5
https://hdl.handle.net/20.500.14243/313932
https://hdl.handle.net/11568/834327
http://springerlink.com/content/0302-9743/copyright/2005/
https://doi.org/10.1007/978-3-319-50230-4_5

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20

Siren: An Interactive Tool for Mining and Visualizing Geospatial Redescriptions

Autoren: Galbrun, Esther Miettinen, Pauli Helsinki Institute for Information Technology (HIIT) et al.

Weitere Verfasser: Galbrun, Esther Miettinen, Pauli Helsinki Institute for Information Technology (HIIT) et al.

Quelle: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'12 ; 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'12 ; https://hal.archives-ouvertes.fr/hal-01399268 ; 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'12, Aug 2012, Beijing, China

Schlagwörter: General Terms, Keywords, Parallel Coordinates, Brush-and-Link, Redescription Mining, Interactive Data Mining, Visualization, Algorithms, Design, H28 [Information Systems]: Database Applications, Data Mining, H.2.8 [Information Systems]: Database Applications— Data Mining, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]