A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2013; you can also visit the original URL.
The file type is application/pdf.
Filters
Autonomic networks: engineering the self-healing property
2004
Engineering applications of artificial intelligence
Preserved Fulltext
A three-tier rule-discovery framework and associated support and analysis tools are described. These assist with the development, management and maintenance of correlation rules and beliefs. ...
This paper considers the 'self-healing' aspect of autonomic networks, examining, in particular, techniques for event correlation to aid fault identification. ...
Acknowledgements The development of this paper was supported by the Centre for Software Process This journal paper expands on concepts first expressed in conference papers (Sterritt et al, 2002. ...
doi:10.1016/j.engappai.2004.08.028
fatcat:yglhp4hp6jbq5m7d7rqx4u76ba
Autonomic networks: engineering the self-healing property
2004
Engineering applications of artificial intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2013; you can also visit the original URL.
The file type is application/pdf.
A three-tier rule-discovery framework and associated support and analysis tools are described. These assist with the development, management and maintenance of correlation rules and beliefs. ...
This paper considers the 'self-healing' aspect of autonomic networks, examining, in particular, techniques for event correlation to aid fault identification. ...
Acknowledgements The development of this paper was supported by the Centre for Software Process This journal paper expands on concepts first expressed in conference papers (Sterritt et al, 2002. ...
doi:10.1016/s0952-1976(04)00111-3
fatcat:jh5nelxx6bectnlhlpxtr36uau
Facing Fault Management as It Is, Aiming for What You Would Like It to Be
[chapter]
2002
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2003; you can also visit the original URL.
The file type is application/pdf.
In this paper two key fault management approaches are considered: (i) rule discovery to attempt to present fewer symptoms with greater diagnostic assistance for the more traditional rule based system approach ...
Fault identification and management are generally handled by reducing the number of alarm events (symptoms) presented to the operating engineer through monitoring, filtering and masking. ...
The paper has benefited from discussions with other members of the Jigsaw team and with collaborators at Nortel. ...
doi:10.1007/3-540-46019-5_3
fatcat:3nizbbjohvh3ranie5ydswv4hy
Comparative Study of Pattern Mining Techniques for Network Management System Logs for Convergent Network
[chapter]
2012
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2013; you can also visit the original URL.
The file type is application/pdf.
In telecommunication alarm correlation analysis for large alarm databases, mining of association rules is one of the primary methods while the efficiency of the algorithms is very important for these large ...
The mutual dependencies result from physical dependencies manifested as a set of events when an event is triggered. ...
doi:10.1007/978-3-642-27872-3_16
fatcat:gb2cvolirvhxbh72byscv6bm3i
Comparison of Implicit and Explicit Learning Processes in a Probabilistic Task
2003
Perceptual and Motor Skills
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
All conditions showed use of predictive relations among stimulus events. ...
However, task performance of the ruleapplication and rule-discovery conditions were inferior to the nonrule-instructed implicit condition, particularly during the early phases of rule acquisition and application ...
In doing so, our study compared the performance effect of explicit rule-application instruction (e.g., instructions that Event "A" predicts Event "B" a given percentage of the time), explicit rule-discovery ...
doi:10.2466/pms.2003.97.1.299
pmid:14604053
fatcat:yydf7hv37fdzbmvhawflw2pr3q
COMPARISON OF IMPLICIT AND EXPLICIT LEARNING PROCESSES IN A PROBABILISTIC TASK
2003
Perceptual and Motor Skills
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
All conditions showed use of predictive relations among stimulus events. ...
However, task performance of the ruleapplication and rule-discovery conditions were inferior to the nonrule-instructed implicit condition, particularly during the early phases of rule acquisition and application ...
In doing so, our study compared the performance effect of explicit rule-application instruction (e.g., instructions that Event "A" predicts Event "B" a given percentage of the time), explicit rule-discovery ...
doi:10.2466/pms.97.4.299-314
pmid:14604053
fatcat:7rpy7nzxdza4roczlj5wcjdqje
COMPARISON OF IMPLICIT AND EXPLICIT LEARNING PROCESSES IN A PROBABILISTIC TASK
2003
Perceptual and Motor Skills
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
All conditions showed use of predictive relations among stimulus events. ...
However, task performance of the ruleapplication and rule-discovery conditions were inferior to the nonrule-instructed implicit condition, particularly during the early phases of rule acquisition and application ...
In doing so, our study compared the performance effect of explicit rule-application instruction (e.g., instructions that Event "A" predicts Event "B" a given percentage of the time), explicit rule-discovery ...
doi:10.2466/pms.97.5.299-314
fatcat:ac2bowvkzbfv5c6of5a7v7m36e
Multivariate Analysis for Fuzzy Correlated Node Behavior Detection in Wireless Sensor Network
2018
Journal of Communications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Thus, this has resulted to a spreading of correlated node behavior and the impact of this event may result in high severity in network performance. ...
Abstract-Wireless Sensor Network depends highly upon the cooperation among the nodes behavior in transmission of packet data, messages and route discovery. ...
From the simulation, this study aims to identify the impact of both factors towards the performance of correlated degree event. a) Node Degree, d The simulation is setup with two cases of node degree, ...
doi:10.12720/jcm.13.8.430-435
fatcat:gnl3be6djfaedkgzn6dhmvnqka
A survey of temporal knowledge discovery paradigms and methods
2002
IEEE Transactions on Knowledge and Data Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2003; you can also visit the original URL.
The file type is application/pdf.
associated with the implicit time-varying nature of the universe. ...
At the same time, interest in temporal databases has been increasing and a growing number of both prototype and implemented systems are using an enhanced temporal understanding to explain aspects of behavior ...
Conventional mechanisms for association rule discovery would identify the correlation between the events, but overlook the time parameter, which is important in both cases. ...
doi:10.1109/tkde.2002.1019212
fatcat:vcofptm3i5aozake7s35w2pbde
Inferring mechanisms of response prioritization on social media under information overload
2021
Scientific Reports
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Finally, insights from the evolutionary model discovery results helped inform response prioritization rules, which improved the robustness and accuracy of the model of information overload. ...
Evolutionary model discovery automates mechanistic inference on agent-based models by enabling random forest importance analysis on genetically programmed agent-based model rules. ...
The top 20 rules that resulted in the lowest RMSE are provided as examples of rules produced by the genetic program in evolutionary model discovery. ...
doi:10.1038/s41598-020-79897-5
pmid:33446767
fatcat:3x6hmvn5nzdqrewbvvjxvgcofq
Enhancing Declare Maps Based on Event Correlations
[chapter]
2013
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
., Petri nets, BPMN, and EPCs) from event data. However, the variability present in less-structured flexible processes complicates the discovery of such procedural models. ...
Moreover, additional data attributes in event logs are not used to discover meaningful causalities. In this paper, we use correlations to prune constraints and to disambiguate event associations. ...
Such conceptual groupings of activities can be used for guiding the discovery of Declare maps towards results that are more significant from an application domain point of view [18] . ...
doi:10.1007/978-3-642-40176-3_9
fatcat:7pnzfs7dgrchxcyrnawmjo3psq
A tensor-based distributed discovery of missing association rules on the cloud
2014
Future generations computer systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
A tensor-based distributed discovery of missing association rules on the cloud Elayyadi, I, Benbernou, S, Ouiziri, M and Younas, M (2014) A tensor-based distributed discovery of missing association rules ...
In the context of current cloud computing infrastructure, no solutions exist for enabling the correlations between multi-source events in the presence of missing data. ...
The second attempt is to recover the missing entries toward distributed correlation of association rules over the cloud network. ...
doi:10.1016/j.future.2013.11.002
fatcat:7ezcjrkrubeqlm6nifljobrbbm
Data mining and clinical data repositories: Insights from a 667,000 patient data set
2006
Computers in Biology and Medicine
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2008; you can also visit the original URL.
The file type is application/pdf.
clinical events and time series analysis. ...
Our initial and limited goal was to test whether or not it is possible to search a large database of electronic patient records and find novel correlations. ...
Preston for her technical assistance in preparation of this manuscript. ...
doi:10.1016/j.compbiomed.2005.08.003
pmid:16375883
fatcat:dzjo5mleq5e2pnozx4mrbfajx4
Exploiting Affinity Propagation for Energy-Efficient Information Discovery in Sensor Networks
2008
IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Simulation results prove the proposed method(s) of information discovery offer significant QoS benefits for ALL-type and ANYtype queries in comparison to previous approaches. ...
Further, in-network query processing capabilities are required for autonomic information discovery. ...
THE CROSSROADS APPROACH TO INFORMATION DISCOVERY The crossroads approach is based on perimeter aggregation of events and the construction of energy-efficient query paths for information discovery. ...
doi:10.1109/glocom.2008.ecp.147
dblp:conf/globecom/DossL08
fatcat:rvdfphirundqnc2yf7qxa73vzu
Voluntary action and neural causation
2014
Cognitive Neuroscience
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
However, their criticism of claims of covert automaticity can be strengthened. ...
I first say a few words on what voluntary action involves and on the consequent limited relevance of brain research for the determination of voluntariness. ...
Accordingly, the discovery of correlations between an action and an antecedent brain event wouldn't raise the possibility of such covert automaticity, as long as we have the mentioned responsiveness to ...
doi:10.1080/17588928.2014.951618
pmid:25157693
fatcat:ekopjwv5svathgviieobecd5dy
« Previous
Showing results 1 — 15 out of 141,612 results