Results 201 to 210 of about 60,734 (264)

Experimental Lung Ultrasound Scoring in a Murine Model of Aspiration Pneumonia: Challenges and Diagnostic Perspectives. [PDF]

Diagnostics (Basel)
Chuang CW, Lai WY, Chang KW, Chang CY, Yeoh SR, Huang CJ.   +5 more
europepmc   +1 more source

What Drives Compliance with Rules in Community-Based Conservation? Lessons from Maasai Mara, Kenya. [PDF]

Environ Manage
Imbo AO, Wehn U, Irvine K.
europepmc   +1 more source

Research on cause analysis and management of coal mine safety risk based on social network and bow-tie model. [PDF]

Sci Rep
Su G.
europepmc   +1 more source

Transvaginal sonography-guided aspiration of benign ovarian cysts: a retrospective evaluation of safety, feasibility, and economic and environmental implications. [PDF]

Arch Gynecol Obstet
Endres H, Cioabla M, Ebner F, Janni W, Juhasz-Boess I, Jung L, Lukac S, Upadhyay M, Dayan D.   +8 more
europepmc   +1 more source

From Expansion to Expiration: Federal Policy Waivers and Telehealth Utilization in US Primary Care (2016-2024). [PDF]

Adv Health Inf Sci Pract
Bellapu A, Geracitano J, Conklin J, Khairat S.   +3 more
europepmc   +1 more source

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Mining association rules from quantitative data☆

Intelligent Data Analysis, 1999
Data-mining is the process of extracting desirable knowledge or interesting patterns from existing databases for specific purposes. Most conventional data-mining algorithms identify the relationships among transactions using binary values, however, transactions with quantitative values are commonly seen in real-world applications.
Hong, Tzung-Pei, Kuo, Chan-Sheng, Chi, Sheng-Chai   +2 more
openaire   +2 more sources

Association Rule and Quantitative Association Rule Mining among Infrequent Items

Proceedings of the 8th international workshop on Multimedia data mining: (associated with the ACM SIGKDD 2007), 2007
Association rule mining among frequent items has been extensively studied in data mining research. However, in recent years, there is an increasing demand for mining infrequent items (such as rare but expensive items). Since exploring interesting relationships among infrequent items has not been discussed much in the literature, in this chapter, the ...
Ling Zhou, Stephen Yau
openaire   +1 more source

Mining fuzzy quantitative association rules

Expert Systems, 2006
Abstract: The concept of fuzzy sets is one of the most fundamental and influential tools in the development of computational intelligence. In this paper the fuzzy pincer search algorithm is proposed. It generates fuzzy association rules by adopting combined top‐down and bottom‐up approaches.
R.B.V. Subramanyam, A. Goswami
openaire   +1 more source