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MONIC and Followups on Modeling and Monitoring Cluster Transitions [chapter]

Myra Spiliopoulou, Eirini Ntoutsi, Yannis Theodoridis, Rene Schult
2013 Lecture Notes in Computer Science  
There is much recent discussion on data streams and big data, which except of their volume and velocity are also characterized by volatility.  ...  Next to detecting change, it is also important to interpret it.  ...  Frameworks for change prediction & stream mining: Due to the high volatile nature of modern data, several generic works for change detection or incorporation of time in the mining process have been proposed  ... 
doi:10.1007/978-3-642-40994-3_41 fatcat:i42cl3gw2naq3cjis57q7ihjli

Improving Rule-Based Elasticity Control by Adapting the Sensitivity of the Auto-Scaling Decision Timeframe [chapter]

Demetris Trihinas, Zacharias Georgiou, George Pallis, Marios D. Dikaiakos
2018 Lecture Notes in Computer Science  
of the application or due to short-lived bursts evident in monitoring data.  ...  In this paper, we introduce AdaFrame, a novel library which supports the decision-making of rulebased elasticity controllers to timely detect actual runtime changes in the monitorable load of cloud services  ...  This work is partially supported by the European Commission in terms of Unicorn 731846 H2020 project (H2020-ICT-2016-1).  ... 
doi:10.1007/978-3-319-74875-7_8 fatcat:ukrv35p7srevjelwsvbxqwax3e

Page 67 of American Ceramic Society Bulletin Vol. 74, Issue 7 [page]

1995 American Ceramic Society Bulletin  
Care must be taken in the inter- pretation of MS data because of the fractionating of volatile species to detectable ionized gas fragments.  ...  the gas stream Energy absorbed by CO/CO, present in the gas stream Concentrations a function of the electrical potential produced across a chemical cell ID spectrum of excited states ionized by a H.  ... 

A non-targeted data processing workflow for volatile organic compound data acquired using comprehensive two-dimensional gas chromatography with dual channel detection

Julianne M. Byrne, Lena M. Dubois, Jonathan D. Baker, Jean-François Focant, Katelynn A. Perrault
2020 MethodsX  
This research focuses on the processing method for data collected on a dual channel detection system using flame ionization detection (FID) and quadrupole mass spectrometry (qMS) for the analysis of volatile  ...  The focus on data workflow reproducibility in the field of multidimensional chromatography will assist in adoption by users in new application areas.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National  ... 
doi:10.1016/j.mex.2020.101009 pmid:32775230 pmcid:PMC7397399 fatcat:vvhu7ztwafdsvbpdezsmbgd7ui

Probabilistic reasoning for streaming anomaly detection

Kevin M. Carter, William W. Streilein
2012 2012 IEEE Statistical Signal Processing Workshop (SSP)  
While EWMA is efficient at processing high-rate streams, it can be very volatile to abrupt transient changes in the data, losing utility for appropriately detecting anomalies.  ...  This results in robustness to data anomalies yet quick adaptability to distributional data shifts.  ...  Anomaly detection systems rely on their ability to predict the data stream.  ... 
doi:10.1109/ssp.2012.6319708 dblp:conf/ssp/CarterS12 fatcat:5o73hqfbabg37fd6f4zjyyezgi

Detecting Metachanges in Data Streams from the Viewpoint of the MDL Principle

Shintaro Fukushima, Kenji Yamanishi
2019 Entropy  
This paper addresses the issue of how we can detect changes of changes, which we call metachanges, in data streams.  ...  We develop an online metachange detection algorithm (MCD) based on the statistics to apply it to a data stream.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/e21121134 fatcat:ok5x37tlurgblav6vletpvic2y

Evaluation of an Artificial Intelligence Program for Estimating Occupational Exposures

2004 Annals of Occupational Hygiene  
Personal breathing zone timeweighted average (TWA) monitoring data for two volatile organic chemicals-a common solvent (toluene) and a specialty monomer (chloroprene)-present in this manufacturing process  ...  data in five process areas and fell within the interquartile range in two process areas.  ...  Acknowledgements-This work was supported in part by the International Institute of Synthetic Rubber Producers (II SRP). K. L. Johnston was supported by Training Grant No.  ... 
doi:10.1093/annhyg/meh072 pmid:15734827 fatcat:osjjwkpdwfa67owrduhuwubga4

See what's enBlogue

Foteini Alvanaki, Sebastian Michel, Krithi Ramamritham, Gerhard Weikum
2012 Proceedings of the 15th International Conference on Extending Database Technology - EDBT '12  
These statistics are then used to identify unusual shifts in correlations, most of the time caused by real-world events.  ...  With the increasing popularity of Web 2.0 streams, people become overwhelmed by the available information.  ...  Shift detection: Based on the correlations computed in the previous stage, we inspect the temporal changes in the correlations to detect emergent shifts.  ... 
doi:10.1145/2247596.2247636 dblp:conf/edbt/AlvanakiMRW12 fatcat:aem7nb56xbcjtinix6moonx4xy

Efficient elastic burst detection in data streams

Yunyue Zhu, Dennis Shasha
2003 Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '03  
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams.  ...  We present applications of the algorithm for detecting Gamma Ray bursts in large-scale astrophysical data.  ...  We also thank the Milagro collaboration for making the Gamma Ray data available to us.  ... 
doi:10.1145/956755.956789 fatcat:2o4vfwlb7zfatgb6vdt5fy4buu

Efficient elastic burst detection in data streams

Yunyue Zhu, Dennis Shasha
2003 Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '03  
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams.  ...  We present applications of the algorithm for detecting Gamma Ray bursts in large-scale astrophysical data.  ...  We also thank the Milagro collaboration for making the Gamma Ray data available to us.  ... 
doi:10.1145/956750.956789 dblp:conf/kdd/ZhuS03 fatcat:7x6rhwwmwrff5kdsxrkorblemq

Page 364 of American Ceramic Society Bulletin Vol. 66, Issue 2 [page]

1987 American Ceramic Society Bulletin  
Oxidation results in a weight gain, which opposes the weight loss due to evolution of volatile species.  ...  Comparative analytical data for bulk polymer, cured fiber, uncured bulk ce- ramic, and cured ceramic are shown in Table I.  ... 

Towards Adaptive Event Detection Techniques for the Twitter Social Media Data Stream

Michael Grossniklaus, Marc H. Scholl, Andreas Weiler
2015 IEEE Data Engineering Bulletin  
and spikes in the social media data stream.  ...  The work conducted in our research group therefore intends to address these stream-related challenges, such as detecting events incrementally, reporting them in (near) real-time, and coping with fluctuations  ...  GR 4497/4: "Adaptive and Scalable Event Detection Techniques for Twitter Data Streams".  ... 
dblp:journals/debu/GrossniklausSW15 fatcat:zdekvitj5zhbhfgfklhafssy5a

Page 315 of American Society of Civil Engineers. Collected Journals Vol. 128, Issue 4 [page]

2002 American Society of Civil Engineers. Collected Journals  
Furthermore, only trace CO (<1.0 ppm) was detected in the exhausted gas streams, which indicates that the influent VOCs were almost oxidized completely. 7, for exhausted gas streams, however, was roughly  ...  Specifications and Tested Volatile Organic Compounds for Low-Temperature Regenerative Thermal Oxidation Systems Items RTO!  ... 

EnBlogue

Foteini Alvanaki, Michel Sebastian, Krithi Ramamritham, Gerhard Weikum
2011 Proceedings of the 2011 international conference on Management of data - SIGMOD '11  
We present the enBlogue system for emergent topic detection. The name enBlogue reflects the analogy with emerging trends in fashion often referred to as en Vogue.  ...  EnBlogue continuously monitors Web 2.0 streams and keeps track of sudden changes in tag correlations which can be adjusted using personalization to reflect particular user interests.  ...  (iii) Shift detection: We consider sudden (but significant) increases in the correlation of tag pairs as an indicator for an emergent topic. We refer to such increases as shifts.  ... 
doi:10.1145/1989323.1989473 dblp:conf/sigmod/AlvanakiMRW11 fatcat:jkvtx7g3n5chrehwekwpoyl7km

Changes in the second-moment properties of disaggregated capital flows

Silvio Contessi, Pierangelo De Pace, Johanna L. Francis
2012 Economics Letters  
Using formal statistical tests, we detect (i) significant volatility increases for various types of capital flows for a period of changes in business cycle comovement among the G7 countries, and (ii) mixed  ...  evidence of changes in covariances and correlations with a set of macroeconomic variables.  ...  DF detect falling volatility in macroeconomic variables of G7 countries, but no variation in cross-country comovement.  ... 
doi:10.1016/j.econlet.2011.12.015 fatcat:ftfvvqczanhzjju5yesgoe6kli
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