KDDML: A middleware language and system for knowledge discovery in databases
KDDML (KDD Markup Language) is a middleware language and system designed to support the development of final applications or higher level systems which deploy a mixture of data access, data preprocessing, extraction and deployment of data mining models. We present our three-years’ experience in the...
Saved in:
Published in | Data & knowledge engineering Vol. 57; no. 2; pp. 179 - 220 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.05.2006
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | KDDML (KDD Markup Language) is a middleware language and system designed to support the development of final applications or higher level systems which deploy a mixture of data access, data preprocessing, extraction and deployment of data mining models.
We present our three-years’ experience in the development of KDDML. The design principles are motivated by requirements derived from recurring patterns in the KDD process.
The KDDML language is XML-based, both for query syntax and data/model representation. A KDDML query is an XML-document where XML tags correspond to operations on data/models, XML attributes correspond to parameters of those operations and XML sub-elements define arguments passed to the operators. We present the operators for data access and preprocessing, model extraction and deployment, and control flow ones.
The core of the KDDML system is a KDDML language interpreter with modularity and extensibility requirements as the main goals. Additional data sources, and preprocessing and mining algorithms can be easily plugged in the system. |
---|---|
AbstractList | KDDML (KDD Markup Language) is a middleware language and system designed to support the development of final applications or higher level systems which deploy a mixture of data access, data preprocessing, extraction and deployment of data mining models.
We present our three-years’ experience in the development of KDDML. The design principles are motivated by requirements derived from recurring patterns in the KDD process.
The KDDML language is XML-based, both for query syntax and data/model representation. A KDDML query is an XML-document where XML tags correspond to operations on data/models, XML attributes correspond to parameters of those operations and XML sub-elements define arguments passed to the operators. We present the operators for data access and preprocessing, model extraction and deployment, and control flow ones.
The core of the KDDML system is a KDDML language interpreter with modularity and extensibility requirements as the main goals. Additional data sources, and preprocessing and mining algorithms can be easily plugged in the system. |
Author | Romei, Andrea Ruggieri, Salvatore Turini, Franco |
Author_xml | – sequence: 1 givenname: Andrea surname: Romei fullname: Romei, Andrea – sequence: 2 givenname: Salvatore surname: Ruggieri fullname: Ruggieri, Salvatore email: ruggieri@di.unipi.it – sequence: 3 givenname: Franco surname: Turini fullname: Turini, Franco |
BookMark | eNp9kMtOwzAQRS1UJNrCF7DxDySM7cRJkFhULS8RxAYkdpZjTyq3aYLs0Cp_T0pZs5rFzLl3dGZk0nYtEnLNIGbA5M0mtrrX25gDpDEkMUB2RqYsz3gkCyEmZDpeFRFw8XlBZiFsAIAnkE5J-bJavZa3dEF3ztoGD9ojbXS7_tZrpLq1NAyhxx2tO0-3bXdo0I4L64Lp9ugH6lp67K50wHBJzmvdBLz6m3Py8XD_vnyKyrfH5-WijIxI8j7iXKPhtkpzQGRpZTIruOBGGLRVbpmsECuRFLJgaGopwQrNUGQSpECWSDEn4pRrfBeCx1p9ebfTflAM1FGI2qhfIeooREGiRiEjdXeicHxt79CrYBy2Y6nzaHplO_cv_wOeKGyY |
CitedBy_id | crossref_primary_10_1002_spe_944 crossref_primary_10_1016_j_datak_2010_02_003 crossref_primary_10_1007_s10618_016_0480_z crossref_primary_10_4018_ijdsst_2013100104 crossref_primary_10_4018_jbir_2012100102 crossref_primary_10_1016_j_infsof_2007_06_001 crossref_primary_10_1007_s10115_009_0281_4 crossref_primary_10_4018_jdm_2012010103 crossref_primary_10_1002_cpe_1208 |
Cites_doi | 10.1016/S0169-023X(01)00038-6 10.1023/A:1024487020329 10.1023/A:1009774406717 10.14236/ewic/ADBIS1997.30 10.1023/A:1009816913055 10.1109/TKDE.2004.77 |
ContentType | Journal Article |
Copyright | 2005 Elsevier B.V. |
Copyright_xml | – notice: 2005 Elsevier B.V. |
DBID | AAYXX CITATION |
DOI | 10.1016/j.datak.2005.04.007 |
DatabaseName | CrossRef |
DatabaseTitle | CrossRef |
DatabaseTitleList | |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Computer Science |
EISSN | 1872-6933 |
EndPage | 220 |
ExternalDocumentID | 10_1016_j_datak_2005_04_007 S0169023X05000534 |
GroupedDBID | --K --M -~X .DC .~1 0R~ 1B1 1RT 1~. 1~5 29F 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JN AAAKG AABNK AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AARIN AAXUO AAYFN ABBOA ABFNM ABMAC ABTAH ABUCO ABXDB ABYKQ ACDAQ ACGFS ACNNM ACRLP ACZNC ADBBV ADEZE ADJOM ADMUD ADTZH AEBSH AECPX AEKER AENEX AFFNX AFKWA AFTJW AGHFR AGUBO AGYEJ AHHHB AHJVU AHZHX AIALX AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD APLSM ASPBG AVWKF AXJTR AZFZN BJAXD BKOJK BLXMC CS3 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q G8K GBLVA GBOLZ HAMUX HLZ HVGLF HZ~ IHE J1W JJJVA KOM LG9 LY1 LY7 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 R2- RIG ROL RPZ SBC SDF SDG SDP SDS SES SET SEW SPC SPCBC SSB SSD SST SSV SSZ T5K WUQ XPP ZMT ZY4 ~G- AAXKI AAYXX AFJKZ AKRWK CITATION |
ID | FETCH-LOGICAL-c348t-22aec2db580ee15bc7d3232c3cedb8d16beeb349691ecf660d3a1e376063e1463 |
IEDL.DBID | .~1 |
ISSN | 0169-023X |
IngestDate | Thu Sep 26 18:26:59 EDT 2024 Fri Feb 23 02:35:13 EST 2024 |
IsDoiOpenAccess | false |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 2 |
Keywords | Knowledge discovery in databases Data mining Query languages |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c348t-22aec2db580ee15bc7d3232c3cedb8d16beeb349691ecf660d3a1e376063e1463 |
OpenAccessLink | http://www.di.unipi.it/~ruggieri/Papers/kddmlShort.pdf |
PageCount | 42 |
ParticipantIDs | crossref_primary_10_1016_j_datak_2005_04_007 elsevier_sciencedirect_doi_10_1016_j_datak_2005_04_007 |
PublicationCentury | 2000 |
PublicationDate | 2006-05-01 |
PublicationDateYYYYMMDD | 2006-05-01 |
PublicationDate_xml | – month: 05 year: 2006 text: 2006-05-01 day: 01 |
PublicationDecade | 2000 |
PublicationTitle | Data & knowledge engineering |
PublicationYear | 2006 |
Publisher | Elsevier B.V |
Publisher_xml | – name: Elsevier B.V |
References | International Organization for Standardization (ISO). Information Technology—Database Language—SQL, Standard No. ISO/IEC 9075:1999, 1999. W3C World Wide Web Consortium. XQuery: XML query language. On-line documentation. Available from I.H. Witten, E. Frank. Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann, Los Altos, Version 3.4.3. Available from Orlando, Palmerini, Perego, Silvestri (bib24) 2002 International Organization for Standardization (ISO). Information Technology—Database Language—SQL, Draft Standard No. ISO/IEC 9075:2003, 2003. Quinlan (bib28) 1993 D. Bruno, Extension and experimentation of an xml-based system for KDD, Master Thesis, 2001, Dipartimento di Informatica, University di Pisa, Italy (in Italian). T. Morzy, M. Zakrzewicz, SQL-like language for database mining. In: Proceedings of the first East-European Symposium on Advances in Databases and Information Systems (ADBIS), 1997, pp. 311–317 (Nevsky Dialect). Prudsys AG. XELOPES: eXtEnded Library fOr Prudsys Embedded Solutions, Version 1.1. Available from KDNuggets. Data mining software. Available from Ruggieri (bib29) 2004 2001. IBM. IBM DB2 Intelligent Miner 8.1. Available from W3C World Wide Web Consortium. Extensible Markup Language (XML) 1.0, second ed. W3C Recommendation. Available from The Data Mining Group. Predictive Model Markup Language (PMML). Version 3.0. Available from Han, Kamber (bib10) 2000 2005. Object Management Group (OMG). Common Warehouse Meta-model (CWM), Version 1.1. Available from International Organization for Standardization (ISO). Information Technology—Database Language—SQL Multimedia and Application Packages—Part 6: data mining, Draft Standard No. ISO/IEC 13249-6:2003, 2003. Netz, Chaudhuri, Fayyad, Bernhardt (bib21) 2001 W3C World Wide Web Consortium. Namespaces in XML. W3C Recommendation. Available from Imielinski, Virmani (bib12) 1999; 3 Bonchi, Giannotti, Gozzi, Manco, Nanni, Pedreschi, Renso, Ruggieri (bib5) 2001; 32 W3C World Wide Web Consortium. XML Schema, Parts 0, 1, and 2. W3C recommendation. Available from Fernandez, Siméon, Wadler (bib8) 2000; 1974 Meo, Psaila, Ceri (bib19) 1998; 2 JSR-73 Expert Group. Java Data Mining API, 2004. Java Specification Request No. 73, Available from 2000. International Organization for Standardization (ISO). Information Technology—Database Language—SQL—Part 13: SQL routines and types using the Java Programming Language (SQL/JRT), Draft Standard No. ISO/IEC 9075-13:2003, 2003. Baglioni, Ferrara, Romei, Ruggieri, Turini (bib1) 2003; 2829 SAS. SAS Enterprise Miner 5.1. Available from 1999. M. Baglioni, M. Nanni, E. Giovannetti. Mining literary texts by using domain ontologies, In: Proceedings of the ECML/PKDD 2004 Workshop on Knowledge Discovery and Ontologies, 2004, pp. 79–84. Available from . Pyle (bib27) 1999 Pei, Han, Mortazavi-Asl, Wang, Pinto, Chen, Dayal, Hsu (bib25) 2004; 16 S. Fischer, R. Klinkenberg, I. Mierswa, O. Ritthoff, YALE: Yet Another Learning Environment 2.4.1, University of Dortmund. Available from Ben-Eliyahu-Zohary, Domshlak, Gudes, Liusternik, Meisels, Rosen, Eyal Shimony (bib4) 2003; 39 Oracle. Oracle 10g Data Mining. Available from Seidman (bib31) 2001 Clear, Dunn, Harvey, Heytens, Lohman, Mehta, Melton, Rohrberg, Savasere, Wehrmeister, Xu (bib7) 1999 SPSS. Clementine 9.0. Available from Baglioni, Turini (bib3) 2003; 2829 2002. 2004. SPSS. CRISP-DM: Step-by-step data mining guide. Version 1.0. Available from 10.1016/j.datak.2005.04.007_bib11 10.1016/j.datak.2005.04.007_bib33 10.1016/j.datak.2005.04.007_bib32 10.1016/j.datak.2005.04.007_bib30 10.1016/j.datak.2005.04.007_bib15 Orlando (10.1016/j.datak.2005.04.007_bib24) 2002 10.1016/j.datak.2005.04.007_bib37 Clear (10.1016/j.datak.2005.04.007_bib7) 1999 10.1016/j.datak.2005.04.007_bib14 10.1016/j.datak.2005.04.007_bib36 10.1016/j.datak.2005.04.007_bib6 10.1016/j.datak.2005.04.007_bib13 10.1016/j.datak.2005.04.007_bib35 10.1016/j.datak.2005.04.007_bib34 10.1016/j.datak.2005.04.007_bib18 10.1016/j.datak.2005.04.007_bib2 10.1016/j.datak.2005.04.007_bib17 10.1016/j.datak.2005.04.007_bib39 10.1016/j.datak.2005.04.007_bib16 10.1016/j.datak.2005.04.007_bib38 Imielinski (10.1016/j.datak.2005.04.007_bib12) 1999; 3 Quinlan (10.1016/j.datak.2005.04.007_bib28) 1993 10.1016/j.datak.2005.04.007_bib9 Baglioni (10.1016/j.datak.2005.04.007_bib1) 2003; 2829 Baglioni (10.1016/j.datak.2005.04.007_bib3) 2003; 2829 Fernandez (10.1016/j.datak.2005.04.007_bib8) 2000; 1974 Han (10.1016/j.datak.2005.04.007_bib10) 2000 10.1016/j.datak.2005.04.007_bib22 10.1016/j.datak.2005.04.007_bib20 Pyle (10.1016/j.datak.2005.04.007_bib27) 1999 10.1016/j.datak.2005.04.007_bib26 10.1016/j.datak.2005.04.007_bib23 Meo (10.1016/j.datak.2005.04.007_bib19) 1998; 2 Pei (10.1016/j.datak.2005.04.007_bib25) 2004; 16 Seidman (10.1016/j.datak.2005.04.007_bib31) 2001 Bonchi (10.1016/j.datak.2005.04.007_bib5) 2001; 32 Ruggieri (10.1016/j.datak.2005.04.007_bib29) 2004 Netz (10.1016/j.datak.2005.04.007_bib21) 2001 Ben-Eliyahu-Zohary (10.1016/j.datak.2005.04.007_bib4) 2003; 39 |
References_xml | – volume: 1974 start-page: 11 year: 2000 end-page: 45 ident: bib8 article-title: An algebra for XML query publication-title: Proceedings of Foundations of Software Tecnology and Theoretical Computer Science (FSTTCS) contributor: fullname: Wadler – volume: 2 start-page: 195 year: 1998 end-page: 224 ident: bib19 article-title: An extension to SQL for mining association rules publication-title: Data Mining and Knowledge Discovery contributor: fullname: Ceri – year: 1999 ident: bib27 article-title: Data Preparation for Data Mining contributor: fullname: Pyle – volume: 3 start-page: 373 year: 1999 end-page: 408 ident: bib12 article-title: MSQL: a query language for database mining publication-title: Data Mining and Knowledge Discovery contributor: fullname: Virmani – year: 2001 ident: bib31 article-title: Data Mining with Microsoft SQL Server 2000 Technical Reference contributor: fullname: Seidman – start-page: 260 year: 2004 end-page: 265 ident: bib29 article-title: YaDT: Yet another Decision Tree builder publication-title: Proceedings of the 16th International Conference on Tools with Artificial Intelligence contributor: fullname: Ruggieri – volume: 16 start-page: 1424 year: 2004 end-page: 1440 ident: bib25 article-title: Mining sequential patterns by pattern-growth: the prefixspan approach publication-title: IEEE Transactions on Knowledge and Data Engineering contributor: fullname: Hsu – start-page: 425 year: 1999 end-page: 429 ident: bib7 article-title: NonStop SQL/MX primitives for Knowledge Discovery publication-title: Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining contributor: fullname: Xu – volume: 2829 start-page: 237 year: 2003 end-page: 249 ident: bib1 article-title: Preprocessing and mining web log data for web personalization publication-title: Proceedings of the 8th Congress of the Italian Association for Artificial Intelligence (AI∗IA) contributor: fullname: Turini – volume: 32 start-page: 165 year: 2001 end-page: 189 ident: bib5 article-title: Web log data warehousing and mining for intelligent web caching publication-title: Data and Knowledge Engineering contributor: fullname: Ruggieri – year: 1993 ident: bib28 article-title: C4.5: Programs for Machine Learning contributor: fullname: Quinlan – start-page: 379 year: 2001 end-page: 387 ident: bib21 article-title: Integrating data mining with SQL databases: OLE DB for data mining publication-title: Proceedings of International Conference on Data Engineering (ICDE) contributor: fullname: Bernhardt – volume: 2829 start-page: 225 year: 2003 end-page: 236 ident: bib3 article-title: MQL: an Algebraic Query Language for Knowledge Discovery publication-title: Proceedings of the 8th Congress of the Italian Association for Artificial Intelligence (AI∗IA) contributor: fullname: Turini – volume: 39 start-page: 175 year: 2003 end-page: 204 ident: bib4 article-title: FlexiMine—a flexible platform for KDD research and application development publication-title: Annals of Mathematics and Artificial Intelligence contributor: fullname: Eyal Shimony – year: 2000 ident: bib10 article-title: Data Mining: Concepts and Techniques contributor: fullname: Kamber – start-page: 338 year: 2002 end-page: 345 ident: bib24 article-title: Adaptive and resources-aware mining of frequent sets publication-title: IEEE International Conference on Data Mining (ICDM) contributor: fullname: Silvestri – ident: 10.1016/j.datak.2005.04.007_bib35 – ident: 10.1016/j.datak.2005.04.007_bib33 – volume: 2829 start-page: 237 year: 2003 ident: 10.1016/j.datak.2005.04.007_bib1 article-title: Preprocessing and mining web log data for web personalization contributor: fullname: Baglioni – ident: 10.1016/j.datak.2005.04.007_bib37 – volume: 32 start-page: 165 year: 2001 ident: 10.1016/j.datak.2005.04.007_bib5 article-title: Web log data warehousing and mining for intelligent web caching publication-title: Data and Knowledge Engineering doi: 10.1016/S0169-023X(01)00038-6 contributor: fullname: Bonchi – volume: 39 start-page: 175 year: 2003 ident: 10.1016/j.datak.2005.04.007_bib4 article-title: FlexiMine—a flexible platform for KDD research and application development publication-title: Annals of Mathematics and Artificial Intelligence doi: 10.1023/A:1024487020329 contributor: fullname: Ben-Eliyahu-Zohary – start-page: 338 year: 2002 ident: 10.1016/j.datak.2005.04.007_bib24 article-title: Adaptive and resources-aware mining of frequent sets contributor: fullname: Orlando – year: 1993 ident: 10.1016/j.datak.2005.04.007_bib28 contributor: fullname: Quinlan – ident: 10.1016/j.datak.2005.04.007_bib39 – start-page: 379 year: 2001 ident: 10.1016/j.datak.2005.04.007_bib21 article-title: Integrating data mining with SQL databases: OLE DB for data mining contributor: fullname: Netz – ident: 10.1016/j.datak.2005.04.007_bib9 – ident: 10.1016/j.datak.2005.04.007_bib2 – year: 2001 ident: 10.1016/j.datak.2005.04.007_bib31 contributor: fullname: Seidman – ident: 10.1016/j.datak.2005.04.007_bib22 – volume: 2 start-page: 195 issue: 2 year: 1998 ident: 10.1016/j.datak.2005.04.007_bib19 article-title: An extension to SQL for mining association rules publication-title: Data Mining and Knowledge Discovery doi: 10.1023/A:1009774406717 contributor: fullname: Meo – ident: 10.1016/j.datak.2005.04.007_bib18 – volume: 1974 start-page: 11 year: 2000 ident: 10.1016/j.datak.2005.04.007_bib8 article-title: An algebra for XML query contributor: fullname: Fernandez – ident: 10.1016/j.datak.2005.04.007_bib14 – ident: 10.1016/j.datak.2005.04.007_bib16 – ident: 10.1016/j.datak.2005.04.007_bib20 doi: 10.14236/ewic/ADBIS1997.30 – ident: 10.1016/j.datak.2005.04.007_bib34 – ident: 10.1016/j.datak.2005.04.007_bib11 – ident: 10.1016/j.datak.2005.04.007_bib32 – start-page: 425 year: 1999 ident: 10.1016/j.datak.2005.04.007_bib7 article-title: NonStop SQL/MX primitives for Knowledge Discovery contributor: fullname: Clear – ident: 10.1016/j.datak.2005.04.007_bib36 – ident: 10.1016/j.datak.2005.04.007_bib38 – year: 2000 ident: 10.1016/j.datak.2005.04.007_bib10 contributor: fullname: Han – ident: 10.1016/j.datak.2005.04.007_bib26 – start-page: 260 year: 2004 ident: 10.1016/j.datak.2005.04.007_bib29 article-title: YaDT: Yet another Decision Tree builder contributor: fullname: Ruggieri – volume: 3 start-page: 373 issue: 4 year: 1999 ident: 10.1016/j.datak.2005.04.007_bib12 article-title: MSQL: a query language for database mining publication-title: Data Mining and Knowledge Discovery doi: 10.1023/A:1009816913055 contributor: fullname: Imielinski – volume: 16 start-page: 1424 issue: 11 year: 2004 ident: 10.1016/j.datak.2005.04.007_bib25 article-title: Mining sequential patterns by pattern-growth: the prefixspan approach publication-title: IEEE Transactions on Knowledge and Data Engineering doi: 10.1109/TKDE.2004.77 contributor: fullname: Pei – ident: 10.1016/j.datak.2005.04.007_bib6 – ident: 10.1016/j.datak.2005.04.007_bib23 – volume: 2829 start-page: 225 year: 2003 ident: 10.1016/j.datak.2005.04.007_bib3 article-title: MQL: an Algebraic Query Language for Knowledge Discovery contributor: fullname: Baglioni – ident: 10.1016/j.datak.2005.04.007_bib17 – ident: 10.1016/j.datak.2005.04.007_bib30 – ident: 10.1016/j.datak.2005.04.007_bib15 – ident: 10.1016/j.datak.2005.04.007_bib13 – year: 1999 ident: 10.1016/j.datak.2005.04.007_bib27 contributor: fullname: Pyle |
SSID | ssj0002405 |
Score | 1.9423131 |
Snippet | KDDML (KDD Markup Language) is a middleware language and system designed to support the development of final applications or higher level systems which deploy... |
SourceID | crossref elsevier |
SourceType | Aggregation Database Publisher |
StartPage | 179 |
SubjectTerms | Data mining Knowledge discovery in databases Query languages |
Title | KDDML: A middleware language and system for knowledge discovery in databases |
URI | https://dx.doi.org/10.1016/j.datak.2005.04.007 |
Volume | 57 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LS8NAEB5KvXjxLdZH2YNH1ybZRzfeSmuptvaihd7CvgpVjKVWxIu_3d1N4gPEg9eQheXL7nyT4ZtvAE6paQsZS4KNTGfYMX6CleMFPKOEmDZNRaSD2mLMBxN6PWXTGnSrXhgvqyxjfxHTQ7Qun7RKNFuL-bx1631EHONMIxY6Sr0nKHX05870-fuXzMMxViFj5Cn2b1fOQ0Hj5VWYD2VhJbho_85O3xinvwUbZaqIOsVutqFm8x3YrMYwoPJW7sJo2OvdjC5QBz2GasOrXFpU1SGRzA0q7JqRy0_RZw0N-X5cr998Q_Mc-S16Qnveg0n_8q47wOWQBKwJFSucJNLqxCgmImtjpnTbEJclaeIAVMLEXFn3v0xTnsZWzziPDJGx9VIYTqwLk2Qf6vlTbg8ARVyKSGjBrDZUaClSxbiSTGgi2Sy2DTirwMkWhRdGVonE7rOApZ9qybKIZg7LBvAKwOzHJ81ctP5r4eF_Fx7BelEh8XrEY6ivli_2xOUMK9UMh6IJa52r4WD8AbbFwMA |
link.rule.ids | 315,783,787,4509,24128,27936,27937,45597,45691 |
linkProvider | Elsevier |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3JTsMwELVKOcCFHVFWHzhimsRLHW5VS1Vo2gut1JvlLVJBhKoUIS58O3YWFglx4BrFkvViz5uM3rwB4JyYFpehxMjIOEWO8SOkHC-glGBsWiTmgc7VFiPWn5DbKZ3WQKfqhfGyyjL2FzE9j9blk2aJZnM-mzXvvI-IY5xpQPOOUrICVonPj92hvnz_0nk4yip0jCxG_vXKeigXeXkZ5kNZWclttH-np2-U09sCG2WuCNvFdrZBzWY7YLOawwDLa7kLkkG3O0yuYBs-5uWGV7mwsCpEQpkZWPg1Q5egws8iGvQNuV7A-QZnGfRb9Iz2vAcmvetxp4_KKQlIY8KXKIqk1ZFRlAfWhlTplsEuTdLYIai4CZmy7oeZxCwOrU4ZCwyWofVaGIati5N4H9Szp8weABgwyQOuObXaEK4ljxVlSlKusaRpaBvgogJHzAszDFGpxO5FjqUfa0lFQITDsgFYBaD48U2FC9d_LTz878IzsNYfDxOR3IwGR2C9KJd4ceIxqC8XL_bEJRBLdZofkA92vMJZ |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=KDDML%3A+A+middleware+language+and+system+for+knowledge+discovery+in+databases&rft.jtitle=Data+%26+knowledge+engineering&rft.au=Romei%2C+Andrea&rft.au=Ruggieri%2C+Salvatore&rft.au=Turini%2C+Franco&rft.date=2006-05-01&rft.pub=Elsevier+B.V&rft.issn=0169-023X&rft.eissn=1872-6933&rft.volume=57&rft.issue=2&rft.spage=179&rft.epage=220&rft_id=info:doi/10.1016%2Fj.datak.2005.04.007&rft.externalDocID=S0169023X05000534 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0169-023X&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0169-023X&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0169-023X&client=summon |