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An novel frequent probability pattern mining algorithm based on circuit simulation method in uncertain biological networks

Jieyue He, Chunyan Wang, Kunpu Qiu, Wei Zhong
2014 BMC Systems Biology  
Methods: In this paper, we present a novel method for detecting frequent probability patterns based on circuit simulation in the uncertain biological networks.  ...  Then, an algorithm of probability isomorphic based on circuit simulation is proposed.  ...  An earlier version of this article was published for the IEEE International Conference on Bioinformatics and Biomedicine (BIBM) held on December 18-21, 2013 [34] .  ... 
doi:10.1186/1752-0509-8-s3-s6 pmid:25350277 pmcid:PMC4243085 fatcat:zurgajtmazdfzhkdg2yc4bpahy

Secure Decision-Making Approach to Improve Knowledge Management Based on Online Samples

Kannan Kaliyan, Raja Kothandaraman
2018 International Journal of Intelligent Engineering and Systems  
Also, analysis proves our algorithm is better in terms of quality parameters than the existing algorithms.  ...  Our mechanism is simulated and the results show a considerable improvement in the decision-making process.  ...  Then, based on the classification values the probability of the frequently occurring data sets is founded. With the help of the frequently occurring datasets, a decision is taken.  ... 
doi:10.22266/ijies2018.0228.06 fatcat:m4ejb7p5hjga3cwj2xfv2tf2lm

The Role of Artificial Intelligence (AI) in Condition Monitoring and Diagnostic Engineering Management (COMADEM): A Literature Survey

B. K. Nagaraja Rao
2021 American Journal of Artificial Intelligence  
AI techniques such as, knowledge based systems, expert systems, artificial neural networks, genetic algorithms, fuzzy logic, casebased reasoning and any combination of these techniques (hybrid systems)  ...  In this paper, an attempt is made to review the role of artificial intelligence in condition monitoring and diagnostic engineering management of modern engineering assets.  ...  IMOS has a rule base for selecting an appropriate model for application based on identification of maintenance data pattern.  ... 
doi:10.11648/j.ajai.20210501.12 fatcat:gvplqmpqubdw3pquik5eavux5u

Associative pattern recognition for biological regulation data

Yiou Xiao
2017 ACM SIGBioinformatics Record  
In this dissertation, we propose a series of associative pattern recognition algorithms in biological regulation studies.  ...  In gene regulatory network inference, we propose a framework for refining weak networks based on transcription factor binding sites, thus improved the precision of predicted edges by up to 52%.  ...  Because TFTS calculate the gene-motif scores based on the topology of the preliminary network, the performance is highly dependent on the accuracy of the network inference algorithms and on the size of  ... 
doi:10.1145/3148241.3148242 fatcat:nticslp3bra55iksan3hwzvq2i

Welcome message from the General Chairs

Giovanni Giambene, Boon Sain Yeo
2009 2009 International Workshop on Satellite and Space Communications  
Based on these rigorous reviews, IES 2014 accepted 106 papers for inclusion in the conference program, which represents an acceptance rate of 69%.  ...  All accepted papers will be included in the Proceeding of Adaptation, Learning and Optimization Series published by Springer-Verlag.  ...  On the other hand, advances in data mining, an important section in data engineering and automated learning, also assist optimization algorithm designers to develop better methods.  ... 
doi:10.1109/iwssc.2009.5286448 fatcat:wcu4uzasizhzjmdkzyekynnqwi

Large-scale, Small-scale Systems [chapter]

Jim Austin, Dave Cliff, Robert Ghanea-Hercock, Andy Wright
2006 Cognitive Systems - Information Processing Meets Brain Science  
The objective of the project is to examine recent progress in two major areas of research -computer science and neuroscience, and their related fields -and to understand whether progress in understanding  ...  cognition in living systems has new insights to offer those researching the construction of artificial cognitive systems.  ...  Acknowledgements The authors thank Flaviu Adrian Marginean for his help and background work in the construction of this document.  ... 
doi:10.1016/b978-012088566-4/50005-2 fatcat:mr7mjjmsingjxoiia3yrblsvbq

Program book

2010 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010)  
FLAME is a flexible suffix tree based algorithm that can be used to find frequent patterns with a variety of definitions of motif (pattern) models.  ...  and is based on an efficient and novel group key management scheme.  ...  SMDB'10 will be a one-day workshop where accepted papers are presented in an informal and interactive setting. Participation in the workshop is not limited to authors of accepted papers.  ... 
doi:10.1109/icdew.2010.5452773 fatcat:oyq2tujbvjfpxjlyixux5q57vu

Defense Advanced Research Projects Agency (Darpa) Fiscal Year 2016 Budget Estimates

Department Of Defense Comptroller's Office
2015 Zenodo  
The Defense Advanced Research Projects Agency (DARPA) FY2016 amounted to $2.868 billion in the President's request to support high-risk, high-reward research.  ...  -Examine repair and synthesis strategies to automatically discover commonalities and fix anomalies in input programs based on mining semantic patterns in the corpus.  ...  FY 2016 Plans: -Design VLSI and analog circuits based on novel steep-turn-on transistor devices for applications such as lower power imagers, pattern recognition, and scavenging self-powered electronics  ... 
doi:10.5281/zenodo.1215366 fatcat:cqn5tyfixjanzp5x3tgfkpedri

27th Annual Computational Neuroscience Meeting (CNS*2018): Part One

2018 BMC Neuroscience  
All network simulations carried out with NEST (http:// www.nest-simul  ...  Acknowledgements We thank Ramón Huerta for his useful discussions on this work. This research was supported by the Spanish Government projects TIN2014-54580-R and TIN2017-84452-R.  ...  The method reduces the computational costs for extraction of all possible repeated spike patterns by employing frequent itemset mining.  ... 
doi:10.1186/s12868-018-0452-x pmid:30373544 pmcid:PMC6205781 fatcat:xv7pgbp76zbdfksl545xof2vzy

A Holistic Review of Soft Computing Techniques

Philip O. Omolaye
2017 Applied and Computational Mathematics  
This paper gives an insight on four major consortiums of SC that sprang from the concept of cybernetics, explores and reviews the different techniques, methodologies; application areas and algorithms are  ...  formulated to give an idea on how these computing techniques are applied to create intelligent agents to solve a variety of problems.  ...  Artificial neural networks are, as their name indicates, computational networks which attempt to simulate, in a gross manner, the networks of nerve cell (neurons) of the biological (human or animal) central  ... 
doi:10.11648/j.acm.20170602.15 fatcat:pfmgraicunfijho23usu3pfn3a

A world survey of artificial brain projects, Part II: Biologically inspired cognitive architectures

Ben Goertzel, Ruiting Lian, Itamar Arel, Hugo de Garis, Shuo Chen
2010 Neurocomputing  
The underlying philosophy is based on human child development [26] , the knowledge representations involved are neural network based, and a number of novel learning algorithms are involved, especially  ...  network's performance, and an action network that controls actuators based on the activity in inference network.  ...  He became known in the 1990s for his research on the use of genetic algorithms to evolve neural networks using three dimensional cellular automata inside field programmable gate arrays.  ... 
doi:10.1016/j.neucom.2010.08.012 fatcat:hlvx44gvcrcfniu34miufwnwsu

Graph Summarization Methods and Applications: A Survey [article]

Yike Liu, Tara Safavi, Abhilash Dighe, Danai Koutra
2018 arXiv   pre-print
While advances in computing resources have made processing enormous amounts of data possible, human ability to identify patterns in such data has not scaled accordingly.  ...  Finally, we discuss applications of summarization on real-world graphs and conclude by describing some open problems in the field.  ...  SUBDUE [Cook and Holder 1994] , one of the most famous frequent-pattern mining methods, is applied in areas as diverse as chemical compound analysis, scene analysis, and CAD circuit design analysis.  ... 
arXiv:1612.04883v3 fatcat:fhg2g5eldfdgfkzoqdmbfl5er4

Advancing Science through Mining Libraries, Ontologies, and Communities

James A. Evans, Andrey Rzhetsky
2011 Journal of Biological Chemistry  
the spaghetti of underlying ontologies, and synthesize novel knowledge and hypotheses.  ...  With the emergence of digitized data regarding networks of scientific authorship, institutions and resources, we explore the possibility of accounting for social dependencies and cultural biases in reasoning  ...  Given some set of observed symptoms, one can compute probabilities along arcs of the network to compare the likelihood of each disease (20) .  ... 
doi:10.1074/jbc.r110.176370 pmid:21566119 pmcid:PMC3129146 fatcat:2vfoe7pimva6lkmcqpf35r7kbm

Building patient-specific models for receptor tyrosine kinase signaling networks

Kyoichi Ebata, Sawa Yamashiro, Keita Iida, Mariko Okada
2021 The FEBS Journal  
Here, we introduce recent advances in cancer systems biology aimed at personalized medicine, with focus on the receptor tyrosine kinase signaling network.  ...  More recently, machine learning methods have emerged that can be used for mining omics data and classifying patient.  ...  Parameter estimation is an important issue in ODE modeling, but biological modeling in general is being analyzed on a larger scale [123] .  ... 
doi:10.1111/febs.15831 pmid:33755310 fatcat:eobfm6tbdbhz3b2tddgrg3ktyi

Cognitive Radio Network with Enhanced Protocol for Maximum Throughputs

Ms. Shubhangi Mahamuni
2012 IOSR Journal of Electrical and Electronics Engineering  
In this paper, a Cognitive Radio based Medium Access Control (CR-MAC) protocol for wireless sensor networks that utilizes cognitive radio transmission is used.  ...  In cognitive radio (CR) networks, identifying the available spectrum resource through spectrum sensing, deciding on the optimal sensing and transmission times, and coordinating with the other users for  ...  [72] proposed an efficient Genetic-Wrapper Algorithm based data mining for feature subset selection in a power quality pattern recognition application.  ... 
doi:10.9790/1676-0350105 fatcat:pfyv3ft2y5dtzcsiebfywnijtm
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