Analytical models combining methodology with classification model example
Distributed computing is nowadays almost ubiquities. So is data mining - time and hardware resources consuming process of building analytical models of data. Authors propose methodology of combining local analytical models (build parallely in nodes of distributed computer system) into a global one w...
Saved in:
Published in | 2008 1st International Conference on Information Technology pp. 1 - 4 |
---|---|
Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.05.2008
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Distributed computing is nowadays almost ubiquities. So is data mining - time and hardware resources consuming process of building analytical models of data. Authors propose methodology of combining local analytical models (build parallely in nodes of distributed computer system) into a global one without necessary to construct distributed version of data mining algorithm. Basic assumptions for proposed solution is (i) a complete horizontal data fragmentation and (ii) a model form understood for human being. All steps of combining methodology are presented with classification model example in form of a rule set. Authors define and consider problems with combining local classification modelspsila rules into one final set of global model rules encompassing conflicting rules, sub-rules, partial sub-rules and unclassified objects. Algorithms for different combining strategies are also presented as well as their tests results. Tests were conducted with data sets from UCI Machine Learning Repository. |
---|---|
AbstractList | Distributed computing is nowadays almost ubiquities. So is data mining - time and hardware resources consuming process of building analytical models of data. Authors propose methodology of combining local analytical models (build parallely in nodes of distributed computer system) into a global one without necessary to construct distributed version of data mining algorithm. Basic assumptions for proposed solution is (i) a complete horizontal data fragmentation and (ii) a model form understood for human being. All steps of combining methodology are presented with classification model example in form of a rule set. Authors define and consider problems with combining local classification modelspsila rules into one final set of global model rules encompassing conflicting rules, sub-rules, partial sub-rules and unclassified objects. Algorithms for different combining strategies are also presented as well as their tests results. Tests were conducted with data sets from UCI Machine Learning Repository. |
Author | Gorawski, M. Pluciennik, E. |
Author_xml | – sequence: 1 givenname: M. surname: Gorawski fullname: Gorawski, M. organization: Inst. of Comput. Sci., Silesian Univ. of Technol., Gliwice – sequence: 2 givenname: E. surname: Pluciennik fullname: Pluciennik, E. organization: Inst. of Comput. Sci., Silesian Univ. of Technol., Gliwice |
BookMark | eNo1UN1KwzAYjehAO_sEetEX6Pzy2-RylM0Vht70fqRpskXSZqwF7dtb2Tw3h4_zA99J0EMfe4vQK4YVxqDeqo9tvSl3KwIgV0wQLAi9QwlmhDFCGId7lKpC_t9MLVDy51WApZCPKB2GL5jBOFVMPKFq3eswjd7okHWxtWHITOwa3_v-mHV2PMU2hnicsm8_njIT9DB4N7tHH_trILM_ujsH-4wWTofBpjdeonq7qctdvv98r8r1PvcKxrxRxonCWGiAc-ksFxh00xROGiF1qxwGU0CrKBVaSMrnR5ySSkkyyxxzukQv11pvrT2cL77Tl-lwW4L-ApuuUpI |
ContentType | Conference Proceeding |
DBID | 6IE 6IL CBEJK RIE RIL |
DOI | 10.1109/INFTECH.2008.4621623 |
DatabaseName | IEEE Electronic Library (IEL) Conference Proceedings IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume IEEE Xplore All Conference Proceedings IEEE Electronic Library (IEL) IEEE Proceedings Order Plans (POP All) 1998-Present |
DatabaseTitleList | |
Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/ sourceTypes: Publisher |
DeliveryMethod | fulltext_linktorsrc |
EISBN | 1424422450 9781424422456 |
EndPage | 4 |
ExternalDocumentID | 4621623 |
Genre | orig-research |
GroupedDBID | 6IE 6IF 6IK 6IL 6IN AAJGR AARBI ALMA_UNASSIGNED_HOLDINGS BEFXN BFFAM BGNUA BKEBE BPEOZ CBEJK IERZE OCL RIE RIL |
ID | FETCH-LOGICAL-i90t-b9cf67ce0b0558fe5610abb7f8c68ad9f10c70d9336a6835142f98998268a5153 |
IEDL.DBID | RIE |
ISBN | 9781424422449 1424422442 |
IngestDate | Wed Jun 26 19:23:52 EDT 2024 |
IsPeerReviewed | false |
IsScholarly | false |
LCCN | 2008901868 |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-i90t-b9cf67ce0b0558fe5610abb7f8c68ad9f10c70d9336a6835142f98998268a5153 |
PageCount | 4 |
ParticipantIDs | ieee_primary_4621623 |
PublicationCentury | 2000 |
PublicationDate | 2008-May |
PublicationDateYYYYMMDD | 2008-05-01 |
PublicationDate_xml | – month: 05 year: 2008 text: 2008-May |
PublicationDecade | 2000 |
PublicationTitle | 2008 1st International Conference on Information Technology |
PublicationTitleAbbrev | INFTECH |
PublicationYear | 2008 |
Publisher | IEEE |
Publisher_xml | – name: IEEE |
SSID | ssj0000453946 |
Score | 1.4368494 |
Snippet | Distributed computing is nowadays almost ubiquities. So is data mining - time and hardware resources consuming process of building analytical models of data.... |
SourceID | ieee |
SourceType | Publisher |
StartPage | 1 |
SubjectTerms | Accuracy Analytical models Classification algorithms Computational modeling Data mining Data models Training |
Title | Analytical models combining methodology with classification model example |
URI | https://ieeexplore.ieee.org/document/4621623 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3LSgMxFA1tV65UWvFNFi6dNpm8JuvS0gotLip0V5LMHRBhKjoF8evNY1pRXLgYmAczhCTMvTk55x6E7qSfE2CozUoBJuOV8P9BsCpzignCuFKFDeLkxVLOnvjDWqw76P6ghQGASD6DYTiNe_nl1u0CVDbiMqc-XHdRtyB50mod8BSfmjDN5V67lYdjX9KpvdatdI4SPZovp6vJeJbIlO13fxisxPgyPUaLfcsSreRluGvs0H3-Ktr436afoMG3kg8_HmLUKepA3UfzWIkkgtg4OuG8Yz_vbLSKwMlSOoLtOIC02IX8OhCK4himFzB8mFBWeIBW08lqPMtaS4XsWZMms9pVUjkglghRVBCSJ2OtqgonC1PqihKnSKkZk0YWgeSfVzqsyHL_2Gc-7Az16m0N5whT4yyFipmcGg7M-XWcEVBy5TiFEsQF6ode2LymohmbtgMu_759hY4SESMwCa9Rr3nbwY2P9o29jcP8BfDKps8 |
link.rule.ids | 310,311,786,790,795,796,802,27958,55109 |
linkProvider | IEEE |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3PS8MwFH7MedCTyib-NgePdmubX815bHS6DQ8TdhtJ-goiTNEOxL_eJO0migcPhf4gJSSh7-Xr970P4Ea4NYE6MVHBUUes5O47iEZGVlIeUyZlZrw4eToT-SO7W_BFC263WhhEDOQz7PnT8C-_eLFrD5X1mUgTF653YNfF-VjVaq0touKSE6qY2Ki3Un9sijo116oRz7nG_fFsNB8O8ppO2bz5h8VKiDCjA5hu-lYTS55768r07Oevso3_7fwhdL-1fORhG6WOoIWrDoxDLZIAY5PghfNO3MozwSyC1KbSAW4nHqYl1mfYnlIUZrFuQPBD-8LCXZiPhvNBHjWmCtGTiqvIKFsKaTE2MedZiT590sbIMrMi04Uqk9jKuFCUCi0yT_NPS-X3ZKl77HIfegzt1csKT4Ak2poES6rTRDOk1u3kNMeCScsSLJCfQsePwvK1LpuxbAbg7O_b17CXz6eT5WQ8uz-H_ZqW4XmFF9Cu3tZ46WJ_Za7ClH8B8riqJQ |
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%3Abook&rft.genre=proceeding&rft.title=2008+1st+International+Conference+on+Information+Technology&rft.atitle=Analytical+models+combining+methodology+with+classification+model+example&rft.au=Gorawski%2C+M.&rft.au=Pluciennik%2C+E.&rft.date=2008-05-01&rft.pub=IEEE&rft.isbn=9781424422449&rft.spage=1&rft.epage=4&rft_id=info:doi/10.1109%2FINFTECH.2008.4621623&rft.externalDocID=4621623 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=9781424422449/lc.gif&client=summon&freeimage=true |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=9781424422449/mc.gif&client=summon&freeimage=true |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=9781424422449/sc.gif&client=summon&freeimage=true |