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Mining with rarity
2004
SIGKDD Explorations
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These descriptions utilize examples from existing research, so that this article provides a good survey of the literature on rarity in data mining. ...
Until recently, however, rarity has not received much attention in the context of data mining. ...
Section 4.1 provides a mapping from each problem associated with rarity, listed in Section 2, to method(s) from Section 3
ACKNOWLEDGEMENTS The content of this article was influenced by previous research ...
doi:10.1145/1007730.1007734
fatcat:sb2tk62wrffifcirx75kw22etq
A Unified Framework for Link Recommendation Using Random Walks
2010
2010 International Conference on Advances in Social Networks Analysis and Mining
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The global and local influence of the attributes is leveraged in the framework as well. Other than link recommendation, our framework can also rank the attributes in the social network. ...
One such problem is that of link recommendation which is a critical task that not only helps improve the user experience but also is essential to network growth itself. ...
We study the problem of expressing the link relevance to incorporate both attributes and structure in a unified intuitive manner. ...
doi:10.1109/asonam.2010.27
dblp:conf/asunam/YinGWH10
fatcat:45igmtcb45hnpko5ai3iyx4p2m
"And DPSIR begat DAPSI(W)R(M)!" - A unifying framework for marine environmental management
2017
Marine Pollution Bulletin
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Finally, the unifying framework for integrated marine management is completed by encompassing ecosystem structure and functioning, ecosystem services and societal benefits. ...
However, to deliver these sustainably in the light of human activities requires a Risk Assessment and Risk Management framework; the ISO-compliant Bow-Tie method is used here as an example. ...
Acknowledgements This paper arose within the framework of two projects funded by the European Union under the 7th Framework Programme for research, technological development and demonstration (FP7 -2007 ...
doi:10.1016/j.marpolbul.2017.03.049
pmid:28396077
fatcat:ayfx6wq3ujbq3dluhb3sgqyp2a
Reviewing the role of peptide rarity in bacterial toxin immunomics
2012
Frontiers in bioscience (Scholar edition)
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Clostridium tetani toxin epitopes: a set of rare motifs 5. Anti-tetanus toxoid antibody CDR3 sequences: mirroring the epitopic peptide rarity 6. ...
with a tetanus toxoid vaccine (58). ...
Using this scientific framework and mining for information on the biological features that define TT immunogenic properties, we explored the TT-sequence identity profile versus the human proteome. ...
doi:10.2741/263
pmid:22202055
fatcat:ultu375m6jcnxcl2wlg4ddjmee
The effects of class rarity on the evaluation of supervised healthcare fraud detection models
2019
Journal of Big Data
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With our research, we demonstrate the effects of severe class imbalance and rarity using a training and testing (Train_Test) evaluation method via a hold-out set, and provide our recommendations based ...
The United States healthcare system produces an enormous volume of data with a vast number of financial transactions generated by physicians administering healthcare services. ...
Acknowledgements We would like to thank the reviewers in the Data Mining and Machine Learning Laboratory at Florida Atlantic University. ...
doi:10.1186/s40537-019-0181-8
fatcat:2jiybqzcmjdephbkoiwjymxqye
Scalable Text Mining with Sparse Generative Models
[article]
2016
arXiv
pre-print
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This thesis proposes a solution to scalable text mining: generative models combined with sparse computation. ...
General data mining methods based on machine learning face challenges with the scale of text data, posing a need for scalable text mining methods. ...
Acknowledgements We'd like to thank Kaggle and the LSHTC organizers for their work in making the competition a success, and the machine learning group at the University of Waikato for the computers we ...
arXiv:1602.02332v1
fatcat:2urzib3btveslj5ggie55irxwq
Reconciling Mining with the Conservation of Cave Biodiversity: A Quantitative Baseline to Help Establish Conservation Priorities
2016
PLoS ONE
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presence of obligate cave dwellers (troglobites) and their presumed rarity. ...
Caves pose significant challenges for mining projects, since they harbor many endemic and threatened species, and must therefore be protected. ...
Several mines are already operating in the region and the world's largest iron-ore mine (project S11D) is about to begin operating, so there is now a pressing need to achieve a compromise between mining ...
doi:10.1371/journal.pone.0168348
pmid:27997576
pmcid:PMC5173368
fatcat:46ekicsvbbdjjowo3wrrjvyfoq
DeepInf
2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD '18
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2018 pre-print arXiv:1807.05560v1 fatcat:nl4vcanunbfddcgrsi7il6qwge
Inspired by the recent success of deep neural networks in a wide range of computing applications, we design an end-to-end framework, DeepInf, to learn users' latent feature representation for predicting ...
In general, DeepInf takes a user's local network as the input to a graph neural network for learning her latent social representation. ...
By architecting network embedding [37] , graph convolution [25] , and graph attention mechanism [49] into a unified framework, we expect that the end-to-end model can achieve better performance than ...
doi:10.1145/3219819.3220077
dblp:conf/kdd/QiuTMDW018
fatcat:s67iisu62zeuna3os7545fh7yu
Ocbil Theory as a Potential Unifying Framework for Investigating Narrow Endemism in Mediterranean Climate Regions
2023
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Here, as a contribution to general theory on endemism, a few case studies are briefly discussed to ascertain the relevance of hypotheses in OCBIL theory to understanding narrow endemism in Mediterranean ...
Narrow endemics, concentrated in OCBILs, have diverse origins that embrace major hypotheses of OCBIL theory such as prolonged persistence and diversification in refugia, limited dispersal, coping with ...
As of yet, a review of Ocbil theory as a unifying framework for investigating narrow endemism in Mediterranean climate regions has not been undertaken. ...
doi:10.3390/plants12030645
pmid:36771726
pmcid:PMC9920797
fatcat:5mhuzhdezvew3pvld5lxstxsfi
Improving Customer Relationship Management through Integrated Mining of Heterogeneous Data
2012
Journal of clean energy technologies
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The performance of the integration approach is also compared with a similar approach which uses just syntactic relevance in its information extraction process to reveal a significant reduction in the large ...
-Association rule mining, customer relationship management, integrated mining, structured data, unstructured data. ...
The semantic relevance is gotten by exploiting the degree of polysemy of terms i.e. we want to weigh the semantic relevance of a term with respect to a notion of semantic rarity, in such a way that the ...
doi:10.7763/ijcte.2012.v4.523
fatcat:m3pis7d2uzflxi6c2smbfkpeme
Page 820 of The Journal of Ecology Vol. 98, Issue 4
[page]
2010
The Journal of Ecology
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A new method with a test using plant communities. ...
Ackerly
species with high SLA in each vegetation type. ...
A Framework To Automatically Categorize The Unstructured Text Documents
2017
Indian Journal of Science and Technology
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Method: In our framework, Association rule mining is used to generate frequently occurring word sets from training data set rather than the word sets in the whole document to derive a feature set to be ...
This approach can be combined with hierarchical structure for efficient browsing on search engines and provide a boulevard for future research. ...
Figure 4 . 4 A text mining framework based on Information Extraction. 5 . ...
doi:10.17485/ijst/2017/v10i8/109472
fatcat:yy6mbu2teja2pf7rsglx3f3oie
Interestingness a Unifying Paradigm Bipolar Function Composition
[article]
2014
arXiv
pre-print
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But, interestingness has escaped all attempts to capture its intuitive meaning into a concise and comprehensive form. A unifying paradigm is formulated by function composition. ...
The paradigm generality is demonstrated by case studies of new interestingness functions, examples of known functions that fit the framework, and counter-examples for which the paradigm points out to the ...
The unifying paradigm has a concise formal framework. ...
arXiv:1404.0091v1
fatcat:fyjbhj223vdyliyz2jyhlldeo4
Outlier Detection in Cross-Context Link Discovery for Creative Literature Mining
2010
Computer journal
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It shows that detecting interesting outliers which appear in the literature on a given phenomenon can help the expert to find implicit relationships among concepts of different domains. ...
The underlying assumption is that while the majority of articles in the given scientific domain describe matters related to a common understanding of the domain, the exploration of outliers may lead to ...
ACKNOWLEDGEMENT The authors acknowledge helpful discussions with Blaž Fortuna (main developer of OntoGen), Marta Macedoni-Lukšič (medical expert on autism) and the partners of the BISON consortium. ...
doi:10.1093/comjnl/bxq074
fatcat:tkfrx66xenbxfpupkcq2i75b6q
Transfer learning for class imbalance problems with inadequate data
2015
Knowledge and Information Systems
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We provide a unified framework that will potentially take advantage of auxiliary data using a transfer learning mechanism and simultaneously build a robust classifier to tackle this imbalance issue in ...
A fundamental problem in data mining is to effectively build robust classifiers in the presence of skewed data distributions. ...
Section 3 presents the motivation for a unified balanced optimization framework. Section 4 describes our algorithm, "Rare-Transfer", which addresses the "Absolute Rarity" problem. ...
doi:10.1007/s10115-015-0870-3
pmid:27378821
pmcid:PMC4929860
fatcat:qvlty4b4evfohd5fnsxxtk4y7y
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