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Volumn 26, Issue 3, 2011, Pages 351-384

Inductive database languages: Requirements and examples

Author keywords

Association rules; Data Mining; Inductive database; Knowledge discovery; Query language

Indexed keywords

ASSOCIATION RULES; QUERY LANGUAGES; QUERY PROCESSING;

EID: 79951513808     PISSN: 02191377     EISSN: 02193116     Source Type: Journal    
DOI: 10.1007/s10115-009-0281-4     Document Type: Article
Times cited : (9)

References (48)
  • 9
    • 68349131921 scopus 로고    scopus 로고
    • Exploitingmaximal redundancy to optimize SQL queries
    • Cao B, Badia A (2009) Exploitingmaximal redundancy to optimize SQL queries. Knowl Info Syst 20(2): 187-220
    • (2009) Knowl Info Syst , vol.20 , Issue.2 , pp. 187-220
    • Cao, B.1    Badia, A.2
  • 14
    • 22044442392 scopus 로고    scopus 로고
    • An extension to SQL for mining association rules
    • Ceri S, Meo R, Psaila G (1998) An extension to SQL for mining association rules. Data Min Knowl Discov 2(2): 195-224
    • (1998) Data Min Knowl Discov , vol.2 , Issue.2 , pp. 195-224
    • Ceri, S.1    Meo, R.2    Psaila, G.3
  • 17
    • 22444454059 scopus 로고    scopus 로고
    • From extensional to intensional knowledge: Inductive logic programming techniques and their application to deductive databases
    • Freitag B, Decker H, KiferM, Voronkov A (eds), Springer, Berlin
    • Flach PA(1998) From extensional to intensional knowledge: inductive logic programming techniques and their application to deductive databases. In: Freitag B, Decker H, KiferM, Voronkov A (eds) Transactions and change in logic databases. Springer, Berlin, pp 356-387
    • (1998) Transactions and Change In Logic Databases , pp. 356-387
    • Flach, P.A.1
  • 21
    • 13844297583 scopus 로고    scopus 로고
    • Specifying mining algorithms with iterative user-defined aggregates
    • Giannotti F, Manco G, Turini F (2004) Specifying mining algorithms with iterative user-defined aggregates. IEEE Trans Knowl Data Eng 16(10):1232-1246
    • (2004) IEEE Trans Knowl Data Eng , vol.16 , Issue.10 , pp. 1232-1246
    • Giannotti, F.1    Manco, G.2    Turini, F.3
  • 22
    • 35048872666 scopus 로고    scopus 로고
    • Towards a Logic Query Language for Data Mining
    • Meo R, Lanzi PL, Klemettinen M (eds), Springer, Berlin
    • Giannotti F, Manco G, Turini F (2004) Towards a Logic Query Language for Data Mining. In: Meo R, Lanzi PL, Klemettinen M (eds) Database support for data mining applications. Springer, Berlin, pp 76-94
    • (2004) Database Support For Data Mining Applications , pp. 76-94
    • Giannotti, F.1    Manco, G.2    Turini, F.3
  • 23
    • 13844304480 scopus 로고    scopus 로고
    • Logical languages for data mining
    • Chomicki J, Meyden RVD, Saake G (eds), Springer, Berlin, Germany
    • Giannotti F, Manco G, Wijsen J (2003) Logical languages for data mining. Chomicki J, Meyden RVD, Saake G (eds) Logics for emerging applications of databases, Springer, Berlin, Germany, pp 325-368
    • (2003) Logics For Emerging Applications of Databases , pp. 325-368
    • Giannotti, F.1    Manco, G.2    Wijsen, J.3
  • 25
    • 79951513379 scopus 로고    scopus 로고
    • IBM
    • IBM (2008) Intelligent Miner 8.2. http://www-01.ibm.com/software/data/iminer/
    • (2008) Intelligent Miner , vol.8 , pp. 2
  • 26
    • 0030284618 scopus 로고    scopus 로고
    • A database perspective on knowledge discovery
    • Imielinski T, Mannila H (1996) A database perspective on knowledge discovery. Commun ACM 39(11): 58-64
    • (1996) Commun ACM , vol.39 , Issue.11 , pp. 58-64
    • Imielinski, T.1    Mannila, H.2
  • 27
    • 22844454898 scopus 로고    scopus 로고
    • MSQL: A query language for database mining
    • Imielinski T, Virmani A (1999) MSQL: a query language for database mining. Data Min Knowl Discov 2(4): 373-408
    • (1999) Data Min Knowl Discov , vol.2 , Issue.4 , pp. 373-408
    • Imielinski, T.1    Virmani, A.2
  • 28
    • 85136071998 scopus 로고    scopus 로고
    • Query languages and data models for database sequences and data streams
    • Nascimento MA, Ozsu MT, Kossmann D, Miller RJ, Blakeley JA, Schiefer KB (eds), Toronto, Canada, 31August-3 September
    • Law YN, Wang H, Zaniolo C (2004) Query languages and data models for database sequences and data streams. In: Nascimento MA, Ozsu MT, Kossmann D, Miller RJ, Blakeley JA, Schiefer KB (eds) Proceedings of the 30th International Conference on very large data bases (VLDB), Toronto, Canada, 31August-3 September, pp 492-503
    • (2004) Proceedings of the 30th International Conference On Very Large Data Bases (VLDB) , pp. 492-503
    • Law, Y.N.1    Wang, H.2    Zaniolo, C.3
  • 29
    • 79951514135 scopus 로고    scopus 로고
    • Data mining in hybrid languages via ILP
    • Calvanese D, Giacomo GD, Franconi E (eds), Rome, Italy, 5-7 September
    • Lisi FA (2003) Data mining in hybrid languages via ILP. In: Calvanese D, Giacomo GD, Franconi E (eds) Proceedings of the International Workshop on description logics (DL'03), Rome, Italy, 5-7 September
    • (2003) Proceedings of the International Workshop On Description Logics (DL'03)
    • Lisi, F.A.1
  • 31
    • 33845273073 scopus 로고    scopus 로고
    • An XML-based database for knowledge discovery
    • Grust T, Höpfner H, Illarramendi A, Jablonski S, Mesiti M, Müller S, Patranjan PL, Sattler KU, Spiliopoulou M, Wijsen J (eds), (EDBT 2006Workshops PhD), Springer, Munich
    • Meo R, Psaila G (2006) An XML-based database for knowledge discovery. In: Grust T, Höpfner H, Illarramendi A, Jablonski S, Mesiti M, Müller S, Patranjan PL, Sattler KU, Spiliopoulou M, Wijsen J (eds)Current trends in database technology (EDBT 2006Workshops PhD), Springer, Munich, pp 814-828
    • (2006) Current Trends In Database Technology , pp. 814-828
    • Meo, R.1    Psaila, G.2
  • 34
    • 56749160639 scopus 로고    scopus 로고
    • RRSi: Indexing XML data for proximity twig queries
    • Ng PKL, Ng VTY (2008) RRSi: indexing XML data for proximity twig queries. Knowl Inf Syst 17(2): 193-216
    • (2008) Knowl Inf Syst , vol.17 , Issue.2 , pp. 193-216
    • Ng, P.K.L.1    Ng, V.T.Y.2
  • 37
    • 43349101671 scopus 로고    scopus 로고
    • An inductive database and query language in the relational model
    • Kemper A, Valduriez P, Mouaddib N, Teubner J, Bouzeghoub M, Markl V, Amsaleg L, Manolescu I (eds), Nantes, France, 25-29 March
    • Richter L, Wicker J, Kessler K, Kramer S (2008) An inductive database and query language in the relational model. In: Kemper A, Valduriez P, Mouaddib N, Teubner J, Bouzeghoub M, Markl V, Amsaleg L, Manolescu I (eds) Proceedings of the 11th International Conference on extending database technology (EDBT), Nantes, France, 25-29 March, pp 740-744
    • (2008) Proceedings of the 11th International Conference On Extending Database Technology (EDBT) , pp. 740-744
    • Richter, L.1    Wicker, J.2    Kessler, K.3    Kramer, S.4
  • 38
    • 33644678773 scopus 로고    scopus 로고
    • KDDML: A middleware language and system for knowledge discovery in databases
    • Romei A, Ruggieri S, Turini F (2006) KDDML: a middleware language and system for knowledge discovery in databases. Data Knowl Eng 57(2): 179-220
    • (2006) Data Knowl Eng , vol.57 , Issue.2 , pp. 179-220
    • Romei, A.1    Ruggieri, S.2    Turini, F.3
  • 40
    • 23044518930 scopus 로고    scopus 로고
    • Integrating association rule mining with relational database systems: Alternatives and implications
    • Sarawagi S, Thomas S, Agrawal R (2000) Integrating association rule mining with relational database systems: alternatives and implications. Data Min Knowl Discov 4(2/3): 89-125
    • (2000) Data Min Knowl Discov , vol.4 , Issue.2-3 , pp. 89-125
    • Sarawagi, S.1    Thomas, S.2    Agrawal, R.3
  • 41
    • 79951511703 scopus 로고    scopus 로고
    • SPSS, Version 2.0 (January 2007)
    • SPSS (2007) CRISP-DM step by step data mining guide. Version 2.0 (January 2007). http://www. crisp-dm.org
    • (2007) CRISP-DM Step By Step Data Mining Guide
  • 42
    • 79951513541 scopus 로고    scopus 로고
    • SPSS
    • SPSS (2008) Clementine 12.0. http://www.spss.com/clementine
    • (2008) Clementine , vol.12 , pp. 0
  • 43
    • 0042781140 scopus 로고    scopus 로고
    • The Data Mining Group, Version 4.0
    • The Data Mining Group (2009) The Predictive Model Markup Language (PMML). Version 4.0. http:// www.dmg.org/pmml-v4-0.html
    • (2009) The Predictive Model Markup Language (PMML)
  • 44
    • 77249162985 scopus 로고    scopus 로고
    • The Object Management Group, Version 1.1
    • The Object Management Group (2003) The common warehouse metamodel (CWM). Version 1.1. http:// www.omg.org/
    • (2003) The Common Warehouse Metamodel (CWM)
  • 45
    • 0038525781 scopus 로고    scopus 로고
    • Nonmonotonic reasoning in LDL++
    • Minker J (eds), Kluwer, Dordrecht
    • Wang H, Zaniolo C (2000) Nonmonotonic reasoning in LDL++. In:Minker J (eds) Logic-based artificial intelligence. Kluwer, Dordrecht, pp 523-544
    • (2000) Logic-based Artificial Intelligence , pp. 523-544
    • Wang, H.1    Zaniolo, C.2
  • 46
    • 33745768514 scopus 로고    scopus 로고
    • ATLaS: A native extension of SQL for data mining
    • Barbará D, Kamath C (eds), San Francisco, CA, USA, 1-3 May
    • Wang H, Zaniolo C (2003) ATLaS: a native extension of SQL for data mining. In: Barbará D, Kamath C (eds) Proceedings of the Third SIAM International Conference on data mining, San Francisco, CA, USA, 1-3 May, pp 130-141
    • (2003) Proceedings of the Third SIAM International Conference On Data Mining , pp. 130-141
    • Wang, H.1    Zaniolo, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.