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Outlier detection special issue

Sanjay Chawla, David Hand, Vasant Dhar
2010 Data mining and knowledge discovery  
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

Guansong Pang, Fabrizio Angiulli, Mihai Cucuringu, Huan Liu
2021 IEEE Intelligent Systems  
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

Qiong Luo, Jens Teubner
2014 Distributed and parallel databases  
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

Quan Z. Sheng, Jing He, Guoren Wang, Christian S. Jensen
2014 World wide web (Bussum)  
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


2019 Intelligent Data Analysis  
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


Hans-Hermann Bock, Wolfgang Gaul, Akinori Okada, Maurizio Vichi
2010 Advances in Data Analysis and Classification  
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"

Victor Chang, Shadi A. Aljawarneh, Chung‐Sheng Li
2020 Expert systems  
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"

Marco Riani, Mia Hubert
2021 Metron  
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

Cong Minh Dinh, Luu Ngoc Do, Hyung-Jeong Yang, Soo-Hyung Kim, Guee-Sang Lee
2016 International Journal of Contents  
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

Ankita Karale
2020 Journal of Mobile Multimedia  
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

Juliana Y. Leung, Liangping Li, Eugene Morgan, Hamid Emami-Meybodi
2020 Mathematical Geosciences  
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

Fa Zhu, Rajan Shankaran, Bin Zhao, Yongbin Zhao, Yining Gang, Xingchi Chen
2021 Internet Technology Letters  
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

Marco Riani, Andrea Cerioli, Peter J. Rousseeuw
2010 Advances in Data Analysis and Classification  
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)

Wojciech Cellary, Tao Li, Jianyong Wang, Dingding Wang, Yanchun Zhang
2016 World wide web (Bussum)  
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

Jos Hageman, Jasper Engel
2021 Metabolites  
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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