Re-mining positive and negative association mining results
dc.authorid | 0000-0002-3241-4617 | |
dc.authorid | 0000-0002-3241-4617 | en_US |
dc.contributor.author | Demiriz, Ayhan | en_US |
dc.contributor.author | Ertek, Gürdal | en_US |
dc.contributor.author | Atan, Sabri Tankut | en_US |
dc.contributor.author | Kula, Ufuk | en_US |
dc.date.accessioned | 2019-07-30T17:20:17Z | |
dc.date.available | 2019-07-30T17:20:17Z | |
dc.date.issued | 2010 | |
dc.department | Işık Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü | en_US |
dc.department | Işık University, Faculty of Engineering, Department of Industrial Engineering | en_US |
dc.description | This work is financially supported by the Turkish Scientific Research Council under Grant TUBITAK 107M257. | en_US |
dc.description.abstract | Positive and negative association mining are well-known and extensively studied data mining techniques to analyze market basket data. Efficient algorithms exist to find both types of association, separately or simultaneously. Association mining is performed by operating on the transaction data. Despite being an integral part of the transaction data, the p | en_US |
dc.description.sponsorship | Türkiye Bilimsel ve Teknolojik Araştırma Kurumu (TÜBİTAK) | en_US |
dc.description.version | Publisher's Version | en_US |
dc.identifier.citation | Demiriz, A., Ertek, G., Atan, S. T. & Kula, U. (2010). Re-mining positive and negative association mining results. Paper presented at the Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6171, 101-114. doi:10.1007/978-3-642-14400-4_8 | en_US |
dc.identifier.doi | 10.1007/978-3-642-14400-4_8 | |
dc.identifier.endpage | 114 | |
dc.identifier.isbn | 9783642143991 | |
dc.identifier.issn | 0302-9743 | en_US |
dc.identifier.issn | 1611-3349 | en_US |
dc.identifier.scopus | 2-s2.0-77954874193 | en_US |
dc.identifier.scopusquality | Q3 | en_US |
dc.identifier.startpage | 101 | |
dc.identifier.uri | https://hdl.handle.net/11729/1664 | |
dc.identifier.uri | https://doi.org/10.1007/978-3-642-14400-4_8 | |
dc.identifier.volume | 6171 | |
dc.identifier.wos | WOS:000286902300008 | |
dc.identifier.wos | WOS:000286902300008 | en_US |
dc.identifier.wosquality | Q4 | |
dc.identifier.wosquality | Q4 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | Conference Proceedings Citation Index – Science (CPCI-S) | en_US |
dc.institutionauthor | Atan, Sabri Tankut | en_US |
dc.language.iso | en | en_US |
dc.peerreviewed | Yes | en_US |
dc.publicationstatus | Published | en_US |
dc.publisher | Springer-Verlag Berlin | en_US |
dc.relation.ispartof | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Rules | en_US |
dc.subject | Framework | en_US |
dc.subject | Association mining | en_US |
dc.subject | Data mining techniques | en_US |
dc.subject | Efficient algorithm | en_US |
dc.subject | Integral part | en_US |
dc.subject | Market basket | en_US |
dc.subject | Market basket analysis | en_US |
dc.subject | New approaches | en_US |
dc.subject | Time information | en_US |
dc.subject | Transaction data | en_US |
dc.subject | Underlying factors | en_US |
dc.subject | Algorithms | en_US |
dc.subject | Associative processing | en_US |
dc.subject | Economics | en_US |
dc.subject | Industry | en_US |
dc.title | Re-mining positive and negative association mining results | en_US |
dc.type | Conference Object | en_US |