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A Robustness Measure of Association Rules [chapter]

Yannick Le Bras, Patrick Meyer, Philippe Lenca, Stéphane Lallich
2010 Lecture Notes in Computer Science  
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

Kazuyuki SUGIMURA, Shinkyu JEONG, Shigeru OBAYASHI, Takeshi KIMURA
2009 Journal of Computational Science and Technology  
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

Jessica M. B. Rees, Angela M. Wood, Frank Dudbridge, Stephen Burgess, N. Charlotte Onland-Moret
2019 PLoS ONE  
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

J. Li
2006 IEEE Transactions on Knowledge and Data Engineering  
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

Philippe Lenca, Benoit Vaillant, Stephane Lallich
2006 2006 IEEE Conference on Cybernetics and Intelligent Systems  
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

Lars Peter Hansen, Thomas J. Sargent
2015 Journal of Monetary Economics  
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

Jiuyong Li, Rodney Topor, Hong Shen
2002 Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '02  
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

Jiuyong Li, Rodney Topor, Hong Shen
2002 Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '02  
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]

Dominique Gay, Marc Boullé
2013 Studies in Computational Intelligence  
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

John M. Anderies, Marco A. Janssen, Elinor Ostrom
2004 Ecology and Society  
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]

Nazim A. Fates, Michel Morvan
2004 arXiv   pre-print
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

J. J. Sandvig, Bamshad Mobasher, Robin Burke
2007 Proceedings of the 2007 ACM conference on Recommender systems - RecSys '07  
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

Esmaeil Ebrahimie, Manijeh Mohammadi-Dehcheshmeh, Richard Laven, Kiro Petrovski
2021 Animals  
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

R. Montemanni, L.M. Gambardella
2005 European Journal of Operational Research  
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

Angela Maria Pinzon-Rondon, Amir Attaran, Juan Carlos Botero, Angela Maria Ruiz-Sternberg
2015 BMJ Open  
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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