Re-mining positive and negative association mining results
Yükleniyor...
Dosyalar
Tarih
2010
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer-Verlag Berlin
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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
Açıklama
This work is financially supported by the Turkish Scientific Research Council under Grant TUBITAK 107M257.
Anahtar Kelimeler
Rules, Framework, Association mining, Data mining techniques, Efficient algorithm, Integral part, Market basket, Market basket analysis, New approaches, Time information, Transaction data, Underlying factors, Algorithms, Associative processing, Economics, Industry
Kaynak
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
WoS Q Değeri
Q4
Scopus Q Değeri
Q3
Cilt
6171
Sayı
Künye
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
