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Application Of Data Mining [PDF]
Knowledge and understanding of a problem is always the first step in identifying effective solutions.The application of data mining techniques on official data has great potential in supporting goodpublic policy. It is not straight forward and requires a
Singh, Prempratap; CSE department , Unique College Bhopal +2 more
core +1 more source
An Apriori-BN Hybrid Model for Mining Association Rules in Teaching Data
This paper proposes an Apriori-Bayesian Network hybrid model for mining association rules in teaching evaluation data. A total of 5,200 teaching evaluation records were cleaned, discretized, and transformed into transaction data.
Wei Zhu
doaj +1 more source
Appendix 1: Relative risk derivation. Appendix 2: Odds ratio derivation. Appendix 3: Relative risk versus lift. Appendix 4: Trend of relative risk-lift ratio by association strength. Appendix 5: Trend of relative risk-lift ratio by exposure prevalence. Appendix 6: Theoretical relationship of lift-relative risk and lift-odds ratio for selected lift and ...
Vu, Khanh +6 more
openaire +1 more source
This is the flyer of the LIFT research project in Greek ...
LIFT consortium
core +1 more source
Numerical association rule mining remains comparatively underexplored in interpretable machine learning, largely due to the challenges of handling continuous variables and the limited availability of effective visualization techniques.
Iztok Fister Jr +4 more
doaj +1 more source
This is the flyer of the LIFT research project in German ...
LIFT consortium
core +1 more source
Resource-aware mining of data streams [PDF]
Mining data streams has raised a number of research challenges for the data mining community. These challenges include the limitations of computational resources, especially because mining streams of data most likely be done on a mobile device with ...
Gaber, Mohamed Medhat +11 more
core +1 more source
Background: Unmet need for postpartum contraceptive (PPC) remains a major public health challenge in Sub-Saharan Africa (SSA). Traditional regression models often fail to capture complex, non-linear interactions among predictors.
Eliyas Addisu Taye +5 more
doaj +1 more source
Mathematical Modeling of Operational Reliability of Mine Lifting Equipment Based on Censored Data
In this study, a comprehensive mathematical method for modeling the operational reliability of mine hoisting equipment under conditions of incomplete and heavily censored data is developed. The analyzed dataset includes 259 observations collected over a five-year period for six critical components, with the overall level of censoring reaching 62% and ...
Denis A. Zadkov +6 more
openaire +1 more source
This is the first newsletter of the LIFT research project in Greek ...
LIFT consortium
core +1 more source

