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A Robustness Measure of Association Rules
[chapter]
2010
Lecture Notes in Computer Science
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We propose a formal definition of the robustness of association rules for interestingness measures. ...
It is a central concept in the evaluation of the rules and has only been studied unsatisfactorily up to now. ...
Conclusion The robustness of association rules is a crucial topic, which has only been poorly studied by formal approaches. ...
doi:10.1007/978-3-642-15883-4_15
fatcat:sgc5opmxrnc6jd7icmlu5lxogm
Kriging-Model-Based Multi-Objective Robust Optimization and Trade-Off Rule Mining of a Centrifugal Fan with Dimensional Uncertainty
2009
Journal of Computational Science and Technology
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To extract design rules further, a new approach that adopts the association rule with an "aspiration vector" is proposed. ...
We demonstrate the advantages of the proposed method of multi-objective robust optimization over traditional non-robust ones in that the solutions are diverse. ...
Trade-off Rule Mining by SOM and Association Rule There are various data-mining techniques that can be applied to a design dataset, but, in this study, we aimed to find design rules to achieve a certain ...
doi:10.1299/jcst.3.196
fatcat:bbpolas4vzgyjdj2jlzbfvkkhm
Robust methods in Mendelian randomization via penalization of heterogeneous causal estimates
2019
PLoS ONE
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The results from the applied examples and simulation study highlight the importance of using methods that make different assumptions to assess the robustness of findings from Mendelian randomization investigations ...
Through an extensive simulation study, we demonstrate that robust regression applied to the inverse-variance weighted method with penalized weights is a worthwhile additional sensitivity analysis for Mendelian ...
Acknowledgments We would like to thank Dr Jack Bowden (University of Bristol) for comments made on an earlier version of this manuscript.
Author Contributions Conceptualization: Stephen Burgess. ...
doi:10.1371/journal.pone.0222362
pmid:31545794
pmcid:PMC6756542
fatcat:duw3vt4vyba4rkkjqs3yckl3ni
Robust rule-based prediction
2006
IEEE Transactions on Knowledge and Data Engineering
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This paper studies a problem of robust rule-based classification, i.e., making predictions in the presence of missing values in data. ...
Based on a commonly used rule-based classification model, we characterize the robustness of a hierarchy of rule sets as k-optimal rule sets with the decreasing size corresponding to the decreasing robustness ...
ACKNOWLEDGMENTS The author thanks Professor Rodney Topor and Professor Hong Shen for their constructive discussions and comments on the preliminary work. ...
doi:10.1109/tkde.2006.129
fatcat:vcaehx65uvgrnka4hushviw4py
On the robustness of association rules
2006
2006 IEEE Conference on Cybernetics and Intelligent Systems
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By dealing with this problem we intend to provide means of measuring the strength/robustness of the interest of a rule. ...
In this paper we propose a new specificity of association rule objective interestingness measures: the threshold sensitivity. ...
This is thus a kind of robustness index. In the second analysis, our approach offers a way of comparing a set of rules. ...
doi:10.1109/iccis.2006.252282
fatcat:rw7ergdggfhifpcp37yxwq3zyq
Four types of ignorance
2015
Journal of Monetary Economics
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We study both "unstructured uncertainty" -ignorance of the conditional distribution of the target next period as a function of states and controls -and more "structured uncertainty" -ignorance of the probability ...
This paper studies alternative ways of representing uncertainty about a law of motion in a version of a classic macroeconomic targetting problem of Milton Friedman (1953). ...
The associated sequence of densities ex post justifies the robust decision rule as solving a version of Friedman' Bayesian problem. ...
doi:10.1016/j.jmoneco.2014.12.008
fatcat:bgurbgcfljcqhkpvvszovnppsu
Construct robust rule sets for classification
2002
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '02
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We show that the optimal class association rule set is as robust as the complete class association rule set. ...
This leads to a hierarchy of k-optimal rule sets in which decreasing size corresponds to decreasing robustness, and they all more robust than a traditional classification rule set. ...
ROBUSTNESS OF THE OPTIMAL CLASS ASSOCIATION RULE SET
The class association rule set Given a relational database D with n attributes, a record of D is a n-tuple. ...
doi:10.1145/775047.775130
dblp:conf/kdd/LiTS02
fatcat:ua423ueikfcy5ismxmr2vg5kum
Construct robust rule sets for classification
2002
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '02
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We show that the optimal class association rule set is as robust as the complete class association rule set. ...
This leads to a hierarchy of k-optimal rule sets in which decreasing size corresponds to decreasing robustness, and they all more robust than a traditional classification rule set. ...
ROBUSTNESS OF THE OPTIMAL CLASS ASSOCIATION RULE SET
The class association rule set Given a relational database D with n attributes, a record of D is a n-tuple. ...
doi:10.1145/775107.775130
fatcat:h3pu3ebmlvgvjdjsyzsbam5cri
A Bayesian Criterion for Evaluating the Robustness of Classification Rules in Binary Data Sets
[chapter]
2013
Studies in Computational Intelligence
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Our criterion arises from a Bayesian approach : we propose an expression of the probability of a rule given the data. The most probable rules are thus the rules that are robust. ...
In this paper, we suggest a new criterion for the evaluation of the robustness of classification rules in binary labeled data sets. ...
The notion of robustness has been studied recently: 2 ), the authors define the robustness of rule π as the normalized Euclidean distance rob(π, µ min ) = ||π − π * || 2 / √ 3 between π and a limit rule ...
doi:10.1007/978-3-642-35855-5_1
fatcat:bc72ewu2frfzzhaaye5vggflju
A Framework to Analyze the Robustness of Social-ecological Systems from an Institutional Perspective
2004
Ecology and Society
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All of the linkages among the components of this framework can fail and thereby reduce the robustness of the system. ...
We posit that the link between resource users and public infrastructure providers are a key variable affecting the robustness of social-ecological systems that has frequently been ignored in the past. ...
Acknowledgements We gratefully acknowledge support from the Center for the Study of Institutions, Population, and Environmental Change at Indiana University through the National Science Foundation grant ...
doi:10.5751/es-00610-090118
fatcat:wn77rtslpzemhm6hzq6pmyj4ci
An Experimental Study of Robustness to Asynchronism for Elementary Cellular Automata
[article]
2004
arXiv
pre-print
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To conclude, we examine how the results exposed can be used as a guideline for the research of suitable models according to robustness criteria. ...
This work focuses on the study of one-dimensional (1D) asynchronous CA with two states and nearest-neighbors. ...
The LIP is the parallelism computer science laboratory of ENS Lyon; it is associated with the CNRS, the ENS Lyon, the INRIA and the University Claude Bernard Lyon I. ...
arXiv:nlin/0402016v2
fatcat:2l3bvv2evjdyzkijcmgnhbozhm
Robustness of collaborative recommendation based on association rule mining
2007
Proceedings of the 2007 ACM conference on Recommender systems - RecSys '07
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In this paper, we examine the robustness of a recommendation algorithm based on the data mining technique of association rule mining. ...
Our results show that the Apriori algorithm offers large improvement in stability and robustness compared to k-nearest neighbor and other model-based techniques we have studied. ...
In this paper we explore the robustness of a recommendation algorithm based on association rule mining. ...
doi:10.1145/1297231.1297249
dblp:conf/recsys/SandvigMB07
fatcat:esifnwnlm5auldpimaqunqcm4y
Rule Discovery in Milk Content towards Mastitis Diagnosis: Dealing with Farm Heterogeneity over Multiple Years through Classification Based on Associations
2021
Animals
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Here, for the first time, we integrated scaling by quartiling with classification based on associations in a multi-year study to deal with farm heterogeneity by discovery of multiple patterns towards mastitis ...
On averages, over 3 years, low level of milk lactose and high value of milk EC were part of 93% and 83.8% of all subclinical mastitis detecting rules, offering a reproducible pattern of subclinical mastitis ...
Acknowledgments: This research was supported by use of the Nectar Research Cloud, a collaborative Australian research platform supported by the National Collaborative Research Infrastructure Strategy ( ...
doi:10.3390/ani11061638
fatcat:esxwnope2ncpvjyyii2cxkgngq
A branch and bound algorithm for the robust spanning tree problem with interval data
2005
European Journal of Operational Research
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The method embeds the extension of some results previously presented in the literature and some new elements, such as a new lower bound and some new reduction rules, all based on the exploitation of some ...
A robust spanning tree is a spanning tree whose total cost minimizes the maximum deviation from the optimal spanning tree over all realizations of the edge costs. ...
The information provided is the sole responsibility of the authors and does not reflect the Community's opinion. ...
doi:10.1016/j.ejor.2003.10.008
fatcat:7cosgk5vr5dpdp2ge5kyvo46xi
Association of rule of law and health outcomes: an ecological study
2015
BMJ Open
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Objectives: To explore whether the rule of law is a foundational determinant of health that underlies other socioeconomic, political and cultural factors that have been associated with health outcomes. ...
Participants: Data set of 96 countries, comprising 91% of the global population. ...
The aim of the study is to examine the association of the rule of law and health indicators at the country level. ...
doi:10.1136/bmjopen-2014-007004
pmid:26515684
pmcid:PMC4636637
fatcat:7kzszuunzfehlhmh2ewtbeqxby
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