Filters








141,612 Hits in 5.3 sec

Autonomic networks: engineering the self-healing property

Roy Sterritt
2004 Engineering applications of artificial intelligence  
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

R STERRITT
2004 Engineering applications of artificial intelligence  
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]

Roy Sterritt
2002 Lecture Notes in Computer Science  
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]

Bodhisattwa Gangopadhyay, Artur Arsenio, Claudia Antunes
2012 Lecture Notes in Computer Science  
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

Thomas D. Green, John H. Flowers
2003 Perceptual and Motor Skills  
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

THOMAS D. GREEN
2003 Perceptual and Motor Skills  
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

THOMAS D. GREEN
2003 Perceptual and Motor Skills  
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

Noor Shahidah, Faculty Science and Technology, Universiti Sains Islam Malaysia (USIM), Nilai 71800, Malaysia, A. H. Azni
2018 Journal of Communications  
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

J.F. Roddick, M. Spiliopoulou
2002 IEEE Transactions on Knowledge and Data Engineering  
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

Chathika Gunaratne, William Rand, Ivan Garibay
2021 Scientific Reports  
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]

R. P. Jagadeesh Chandra Bose, Fabrizio Maria Maggi, Wil M. P. van der Aalst
2013 Lecture Notes in Computer Science  
., 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

Isam Elayyadi, Salima Benbernou, Mourad Ouziri, Muhammad Younas
2014 Future generations computer systems  
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

Irene M. Mullins, Mir S. Siadaty, Jason Lyman, Ken Scully, Carleton T. Garrett, W. Greg Miller, Rudy Muller, Barry Robson, Chid Apte, Sholom Weiss, Isidore Rigoutsos, Daniel Platt (+2 others)
2006 Computers in Biology and Medicine  
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

Robin Doss, Gang Li
2008 IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference  
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

Hanoch Ben-Yami
2014 Cognitive Neuroscience  
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