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Outlier detection special issue
2010
Data mining and knowledge discovery
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Or more simply, the focus in Data Mining is on non-parametric (and semi-parametric) outlier detection techniques. ...
The objective of Outlier Detection in Data Mining is in similar vein-outliers often embody new information, which is often hard to explain in the context of existing knowledge and results in a re-evaluation ...
Selection process The special issue received over twenty five papers and after a careful and extensive peer-review process, four papers were selected which cover diverse aspects of outlier detection. ...
doi:10.1007/s10618-009-0163-0
fatcat:oaekiiwzzndztmcirca6ykggrq
Guest Editorial: Non-IID Outlier Detection in Complex Contexts
2021
IEEE Intelligent Systems
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This article demonstrates the issues of applying traditional outlier-detection methods to non-IID data, and presents a hashing-based solution for addressing these issues. ...
Motivated by this demand, we organized a Special Issue in IEEE Intelligent Systems to solicit the latest advancements in this topic in October 2019. ...
doi:10.1109/mis.2021.3072704
fatcat:z7ohc4yue5hw7gmsauflfwklqu
Special issue on data management on modern hardware
2014
Distributed and parallel databases
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This special issue features high-quality articles that cover both of these hardware aspects. ...
The first article, Parallel Outlier Detection on Uncertain Data for GPUs, uses graphics processing units (GPUs) as an instance of a specialized co-processor to accelerate data processing. ...
doi:10.1007/s10619-014-7168-4
fatcat:zrdyfd2zereo3ezbfiexzhpsre
Guest editorial: Web technologies and applications
2014
World wide web (Bussum)
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This special issue of the WWW Journal collects five articles, which are extensions of the best research papers presented at APWeb 2012 (the 14th Asia-Pacific Web Conference, Kunming, China). ...
We also express our gratitude to the Editor-in-Chief, Professor Yanchun Zhang, for his kind support, advice, and encouragements throughout the preparation of this special issue. ...
The papers included in this special issue cover several important topics and present some of the key directions in the vibrant and rapidly expanding area of World Wide Web research and related research ...
doi:10.1007/s11280-014-0280-6
fatcat:d5wzzgsxana4ti2xfkicxd4eqa
Editorial
2019
Intelligent Data Analysis
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Zhou et al. in the first article of this issue discuss outlier detection in data analysis. ...
, INFLuenced Outlierness, Local Outlier Factor and Local Distance-based Outlier detection Factor. ...
doi:10.3233/ida-190005
fatcat:x3vz7qnegvgwbeulzzqgup7nvy
Editorial
2010
Advances in Data Analysis and Classification
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data, and specification of outliers by mathematical programming techniques. ...
This last issue of volume 4 (2010) of the journal Advances in Data Analysis and Classification (ADAC) contains six scientific articles on data analysis methods. ...
Inferential issues for these distances are also addressed by means of simulation envelopes. The problem of detecting multivariate outliers is considered by Tri-Dzung Nguyen and Roy E. ...
doi:10.1007/s11634-010-0078-z
fatcat:pn7hyswe4zbhjguhtdjcno6m2m
Special issue on "advances in visual analytics and mining visual data"
2020
Expert systems
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We thank the Expert Systems Office and Editor-in-Chief for their support and kind assistance in the completion of this special issue. ...
Lara et al. (2019) propose an outlier detection method based on a clustering process. ...
doi:10.1111/exsy.12607
fatcat:dpaodjjz5vd7bjx2jcdkemqwcu
Editorial, special issue on "Advances in Robust Statistics"
2021
Metron
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AbstractStarting with 2020 volume, the journal Metron has decided to celebrate the centenary since its foundation with three special issues. This volume is dedicated to robust statistics. ...
Robust statistical methods provide useful tools for reducing this sensitivity, through the detection of the outliers by first fitting the majority of the data and then by flagging deviant data points. ...
of euros detected using a form of "Outlier-Free Average Prices" 1 . ...
doi:10.1007/s40300-021-00213-w
fatcat:nuokicyhp5ccndjgcdkkkkas6i
Improved Lexicon-driven based Chord Symbol Recognition in Musical Images
2016
International Journal of Contents
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The score that is returned from the recognition process is used to detect the outliers. ...
Moreover, the appearance of outliers (lyrics, dynamics, etc.) increases the complexity of the chord recognition. Therefore, we propose a new approach addressing these issues. ...
Finally, we proposed an outlier detection method to solve the fifth issue. After the image of the candidate has been input, the connected components are extracted using 8-connectivity. ...
doi:10.5392/ijoc.2016.12.4.053
fatcat:kf5i5bml55f2pin6m6s44jkohy
Outlier Detection Methods and the Challenges for their Implementation with Streaming Data
2020
Journal of Mobile Multimedia
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Special attention is given to unsupervised outlier detection. ...
Outlier detection has been a generally examined issue and highly used in a varied range of spaces. ...
Special attention is given to the density based, statistical, distance based and clustering methods for unsupervised outlier detection. ...
doi:10.13052/jmm1550-4646.1635
fatcat:fnrb55vouba43lszw7mmsrfgp4
Special Issue: IAMG 2019
2020
Mathematical Geosciences
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This special issue features five selected papers from the conference, and other papers from the conference will appear in future issues as well. ...
techniques for multivariate outlier detection using data frequently found in the discipline of geosciences. ...
doi:10.1007/s11004-020-09902-0
fatcat:ubw3mk5rrff2vjn7gucrxxtxim
Anomaly detection‐based intelligent computing in internet of things and network applications
2021
Internet Technology Letters
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This special issue will focus on identifying minor anomalies in real applications by using state-of-the-art anomaly detection methods. ...
., The key issues when using intelligent computing to enhance IoT applications and services are the data collected by the associated applications and devices. ...
THIS SPECIAL ISSUE This special issue comes really timely for relevant research communities, and provides a valuable contribution to this emerging field. ...
doi:10.1002/itl2.293
fatcat:wa7rfulktjdxlacscv545w74ya
Special Issue on Robust Methods for Classification and Data Analysis
2010
Advances in Data Analysis and Classification
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Moreover, there is a need for the development of effective diagnostics that can help to pinpoint these outliers. With many variables at hand, outlying observations can be hard to detect. ...
Outliers need not necessarily be gross errors, but may instead contain valuable information. ...
detection. ...
doi:10.1007/s11634-010-0071-6
fatcat:mgmfwdwfwvhexkf7fwuwy2rcpe
Guest editorial: WWWJ special issue of the 16th International Conference on Web Information Systems Engineering (WISE 2015)
2016
World wide web (Bussum)
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We would also like to thank all the authors who submitted their papers to the special issue. Special thanks to the journal editors for their great help and support in organizing the issue. ...
selected for the special issue of World Wide Web Journal (WWWJ). ...
Experimental results show that TPRRO can outperform other alternative algorithms in detecting outliers. ...
doi:10.1007/s11280-016-0423-z
fatcat:yvr6juigj5djvn63cx4biprk3u
Special Issue: Development and Application of Statistical Methods for Analyzing Metabolomics Data
2021
Metabolites
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Acknowledgments: We would like to acknowledge all authors for their contribution to the special issue on "Development and Application of Statistical Methods for Analyzing Metabolomics Data". ...
In particular, the special issue highlights how shrinkage can be employed in metabolomics for improved effect size estimation and outlier detection. ...
This special issue was commissioned to offer a source of novel data analysis methods for metabolomics. ...
doi:10.3390/metabo11070451
fatcat:yfm7cxkderd7vnol4fwtpceoae
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