| Algorithm (240) |  |
| Optimization algorithm (1) | |
| Algorithm (240) | |
| Optimization algorithm (1) | |
Google also developed a machine-learning algorithm (artificial intelligence (AI)) that learns from operational data to model plant performance
For example, the seeker can design an image processing algorithm to automatically/semiautomatically perform segmentation on stacks of images of the esophagus. 2 https://www. innocentive. com/ar/challenge.
Driving behaviour parameters were measured by advanced signal-processing algorithms, filtering GPS data combined with sensor fusion from the accelerometer and gyroscope in the smartphone,
A region-based algorithm for discovering petri nets from event logs. In Business Process Management (BPM2008)( pp. 358 373.
Combining evidence from past sales data, forecasting algorithms as well as observations and evidence from how store managers operate,
Here, a fault detection algorithm (local outlier factor) is used to estimate the probability of a fault occurring.
Theory and experiments with perceptron algorithms. In Proceedings of the ACL conference on empirical methods in natural language processing (pp. 1 8). Philadelphia, PA:
However, most of the existing techniques and algorithms only take activities into account. There are several different approaches for the automatic detection of correspondences.
so that the algorithm is able to determine whether a node should be an activity or an event (in case of EPCS).
The Refmod-Mine/NSCM algorithm conducts an n-ary cluster matching, thus, the nodes of all models which should be matched are being compared pairwise,
& Flynn, 1999) cluster algorithms start with clusters of size 1 (activities) and consolidates two activities to a cluster
Finally, the algorithm returns binary simple or complex matches for the nodes of each model pair. 4. 2 Structural Analogies One of the main problems in reference modelling is the identification of correspondences (cf. 4. 1)
In order to match (cf. 4. 1) further elements, it is necessary to use advanced mapping algorithms that are able to identify antonyms like invoice settled and payment received.
The MCC algorithm comprises three main steps: In the first step, a set of candidaterelations is calculated out of the existing nodes and edges in given Fig. 2 Structural analogue process chains Identification of Business Process Models in a Digital World
the algorithm is also able to present a completely integrated model containing all nodes of the underlying process models
The second layer contains concepts and algorithms which support the analysis of individual enterprise models and the derivation of a reference model.
an application of the inductive method to develop new reference models and the development and application of techniques and algorithms for the corpus development.
An algorithm for suffix stripping. Readings in information retrieval (pp. 313 316. San francisco, CA: Morgan Kaufmann.
They propose using algorithms to parse labels written by modelers in order to detect grammatical mistakes and to prompt users to fix them. 3. 2 Use a Glossary As naming conventions only refer to standardizing the grammatical part,
An algorithm can then parse his sentence and deconstruct it into its parts. This allows not only a verification of the phrase structure, i e.,
Not only can this help to create more clearly arranged models (provided that the algorithm is good),
These conventions should be codified in the form of a layout algorithm which is the same for each modeler.
Decision-making algorithms can be used to compile and present to the user recommendations about how to perform their job in alignment with the organization's priorities.
a decision algorithm is employed automatically to determine the recommended path to be followed by the user.
Then, using all these pieces of information it becomes possible to identify points for integrating concrete control activities into workflows. This can be realized by having automated search algorithms check the actual control parameters against the workflow instance information.
such as its search algorithms, and advertising data. 6 And as we would expect of a dynamic,
Markov Chain Monte carlo algorithm. Data imputation could lead to the minimisation of bias and the use of‘expensive to collect'data that would otherwise be discarded by case deletion.
and then apply a clustering algorithm on the object scores on the first few components,
factorial k-means analysis has a fast alternating least-squares algorithm that extends its application to large data sets.
The focus is on an algorithm, with implicit underlying assumptions which need to be verified in terms of
where the bias depends on the algorithm used to estimate the variance). Therefore, this method does not fully assess the implications of imputation
The Expected maximisation (EM) algorithm is one of these iterative methods. 13 The issue is that X contains both observable and missing values, i e.
Each step is completed once within each algorithm cycle. Cycles are repeated until a suitable convergence criterion is satisfied.
An EM algorithm is also often easy to construct conceptually and practically. Besides each step has a statistical interpretation
the following imputation algorithm can be used: Draw*from the posterior distribution of, f (Y, Xobs),
In such cases, factors generated by the factor analysis algorithm will not be comprehensible. Likewise, the inclusion of multiple definitionally-similar individual indicators representing essentially the same data will lead to tautological results.
Cronbach coefficient alpha results for the 23 countries after deleting one individual indicator (standardised values) at a time. 4. 4. Cluster analysis Cluster analysis (CLA) is a collection of algorithms to classify objects such as countries, species,
including Euclidean and non-Euclidean distances. 18 The next step is to choose the clustering algorithm,
This algorithm can be applied with continuous variables, yet it can be modified also to accommodate other types of variables.
The algorithm starts with k random clusters and moves the objects in and out of the clusters with the aim of (i) minimising the variance of elements within the clusters,
factorial k-means analysis has a fast alternating least-squares algorithm that extends its application to large data sets, i e.,
as well as to avoid having extreme values overly dominate the aggregation algorithm. That is, any observed value greater than the 97.5 percentile is lowered to match the 97.5 percentile.
and may then be solved using optimisation algorithms: k M q Q w I w s t CI I w qkqq qk qk Qq qc qc wqc c 1...
is it possible to find a ranking algorithm consistent with some desirable properties?;and conversely, is it possible to ensure that no essential property is lost?
the algorithm per se is very simple. The maximum likelihood ranking of countries is supported the ranking by the maximum number of individual indicators for each pairwise comparison,
To solve this problem it is necessary to use numerical algorithms. To conclude, consider the numerical example in Table 34 with three countries
and applying the so-called Russian roulette algorithm, e g. for 1 X, select 1 if 0, 0. 5) and 2 if 0. 5,
When BOD is selected the exclusion of individual indicators leads to a re-execution of the optimisation algorithm.
they will nevertheless be generated by the random sample generation algorithm. The constructive dimension of the Monte carlo experiment, the number of random HANDBOOK ON CONSTRUCTING COMPOSITE INDICATORS:
Haq M. 1995), Reflections on Human Development, Oxford university Press, New york. Hartigan J. A. 1975), Clustering Algorithms, New york:
Spath H. 1980), Cluster analysis Algorithms, Chichester, England: Ellis Horwood. Storrie D. and Bjurek H. 1999), Benchmarking European labour market performance with efficiency frontier technique, Discussion Paper FS I 00-2011.
and MSE is computed using all available regressors. 13 Other iterative methods include the Newton-Raphson algorithm
As a result these algorithms often require algebraic manipulations and complex programming. Numerical estimation of this matrix is also possible
as such, need algorithms to achieve the maximum power point which must be considered in the design of the power electronics interface. 3) Bidirectional power flow:
using the internet to send algorithms for 3-D printed prosthetic limbs designed for war victims in developing countries for local production and use.
How to guard against decisions being taken about peoples'lives based purely on big data, data analytics and closed algorithms?
Such evaluation can be delegated to algorithms, like in the case of Google Pagerank, where search results are ordered according to different criteria such as relative relevance, search histories, etc.
Such evaluation can be delegated to algorithms, like in the case of Google Pagerank, where search results are ordered according to different criteria such as relative relevance, search histories, etc.
A Faster Algorithm for Betweenness Centrality, Journal of Mathematical Sociology 25 (2): 163-177. Clauset, A. et al.
Community detection algorithms can be used to find dense substructures (often called communities) within a larger and often sparse network.
Computer science is concerned with the construction of new languages and algorithms in order to produce novel desired computer behaviours.
Innovations, such as those which draw on the expertise of data scientists around the world to develop algorithms to solve large-scale problems,
and interpreted by algorithms through highly normative processes. This smart infrastructure is also increasingly getting to know people by aggregating personal and social data in massive data centres with little privacy and security.
In this case, the likelihood ratio is given under two distributions fitted by the Kolmogorov-smirnov test algorithm, and it is simply the likelihood of the first ratio over the second ratio
we can run the above algorithms on it to determine if the data is sufficient. The MATLAB code developed by Aaron Clauset at the Santa fe Institute was used (http://tuvalu. santafe. edu/aaronc/powerlaws/.
Community detection algorithms can be used to find dense substructures (often called communities) within a larger sparse network.
If the data-set is of reasonable size (less than 10,000 organisations) we will use the Newman algorithm to identify communities.
Figure 13 45 We can also reverse the algorithm and find communities that need a bridge to other communities (see Figure 13).
and algorithms needed for innovative digital research. Yet, perhaps surprising, even as these digitally native companies are reaching the state of
Using a smart search algorithm the platform immediately asks the 100 closest Peerby neighbours if they have the item right after a request has been logged.
Innovations, such as those which draw on the expertise of data scientists around the world to develop algorithms to solve large-scale problems,
and interpreted by algorithms through highly normative processes. This smart infrastructure is also increasingly getting to know people by aggregating personal and social data in massive data centres with little privacy and security.
In this case, the likelihood ratio is given under two distributions fitted by the Kolmogorov-smirnov test algorithm, and it is simply the likelihood of the first ratio over the second ratio
we can run the above algorithms on it to determine if the data is sufficient. The MATLAB code developed by Aaron Clauset at the Santa fe Institute was used (http://tuvalu. santafe. edu/aaronc/powerlaws/.
Community detection algorithms can be used to find dense substructures (often called communities) within a larger sparse network.
If the data-set is of reasonable size (less than 10,000 organisations) we will use the Newman algorithm to identify communities.
Figure 13 45 We can also reverse the algorithm and find communities that need a bridge to other communities (see Figure 13).
and algorithms needed for innovative digital research. Yet, perhaps surprising, even as these digitally native companies are reaching the state of
Using a smart search algorithm the platform immediately asks the 100 closest Peerby neighbours if they have the item right after a request has been logged.
Young Global Leader Building a database and evaluating data with a clearly defined process Google Ventures uses algorithms with data from academic literature or from due diligences.
Markov Chain Monte carlo algorithm. The advantages of imputation include the minimisation of bias and the use of‘expensive to collect'data that would
In such cases, factors generated by the factor analysis algorithm will not be comprehensible. Likewise, the inclusion of multiple definitionally-similar sub-indicators representing essentially the same data will lead to tautological results. 8. Strong intercorrelations are required not mathematically,
2004) Success of software process implementation 3. 2 Grouping information on countries 3. 2. 1 Cluster analysis Cluster analysis (CLA) is given the name to a collection of algorithms used to classify objects
the next step is to choose the clustering algorithm, i e. the rules which govern how distances are measured between clusters.
Thus, this algorithm can be applied with continuous variables (yet it can be modified also to accommodate for other types of variables.
The algorithm starts with k random clusters and moves the objects in and out the clusters with the aim of (i) minimizing the variance of elements within the clusters,
frequently carrying out a PCA and then applying a clustering algorithm on the object scores on the first few components.
factorial k-means analysis has a fast alternating least-squares algorithm that extends its application to large data sets.
Markov Chain Monte carlo algorithm. The advantages of imputation include the minimisation of bias 36 and the use of‘expensive to collect'data that would
the focus is on an algorithm, with implicit underlying assumptions that should be assessed. Besides the need to carefully verify
an important limitation of the single imputation methods is that they systematically underestimate the variance of the estimates (with some exceptions for the EM method where the bias depends on the algorithm used to estimate the variance).
The EM algorithm is one of these iterative methods. 7 The issue is that X contains both observable and missing values, i e.
Each step is completed once within each algorithm cycle. Cycles are repeated until a suitable convergence criterion is satisfied.
In the following maximization step the 7 Other iterative methods include the Newton-Raphson algorithm
As a result these algorithms often require algebraic manipulations and complex programming. Numerical estimation of this matrix is also possible
its simplicity (EM algorithm are often easy to construct conceptually and practically), and each step has a statistical interpretation
the following imputation algorithm can be used: Draw*from the posterior distribution of, f (Y, Xobs) where Y denotes exogenous variables that may influence.
where the variable distributions outside the 2. 5 and 97.5 percentile scores are trimmed to partially correct for outliers as well as to avoid having extreme values overly dominate the aggregation algorithm.
and solved using optimizations algorithms k 1,..M; q 1,,...Q w 0 I w 1 s. t. CI arg max I w qkq q 1 qk qk Q q 1 qc
as calculated by the above algorithm, that does not sum up to one, making the comparison with other methods (like FA
the weights as originally produced by the algorithm can always be normalized afterwards so as to sum up to one,
each with pros and cons. One possible algorithm is the Condorcet-Kemeny-Young-Levenglick (CKYL) ranking procedure (Munda and Nardo 2003).
or an algorithm to describe a real-world issue formal coherence is a necessary property. Yet, formal coherence is not sufficient.
the exclusion of an indicator leads to a total rerun of the optimisation algorithm. When using BAL
1 and applying the so called Russian roulette algorithm, e g. for 1 X we select 1 if 0, 0. 5) and 2 if 0. 5,
When BOD is selected the exclusion of a sub-indicator leads to a re-execution of the optimisation algorithm.
they will be generated all the same by the random sample generation algorithm. 91 The constructive dimension of this Monte carlo experiment,
The main disadvantage of imputation is that the results are affected by the imputation algorithm used.
Hartigan, J. A. 1975), Clustering Algorithms, New york: John Wiley & Sons, Inc. 53. Harvey A.,(1989), Forecasting, structural time series models and the Kalman filter.
Spath, H. 1980), Cluster analysis Algorithms, Chichester, England: Ellis Horwood. 132. SPRG (2001) Report of the Scientific Peer review Group on Health Systems Performance Assessment,
These pioneers were developing a wide range of creative digital learning tools such computer algorithms for analyzing student writing
Educators need to develop new assessment methods using the unique capabilities of digital technology, from algorithms to artificial intelligence.
The algorithms the system uses are highly effective and have attracted dozens of companies, including media enterprises,
The company's ambition is for the algorithm to write every story for an audience of 121 one.
news. Algorithm-driven news reporting and writing is already transforming a variety of journalism domains,
A Faster Algorithm for Betweenness Centrality, Journal of Mathematical Sociology 25 (2): 163-177. Clauset, A. et al.
Using some advance algorithms on the multivariate analysis results, we try to assess the patterns existing among the variables,
having built defined system architecture, a data management module and a localisation algorithm, as well as having developed information services for multimodal forms of transport.
which employs an algorithm using two different but mathematically related"keys":"one for creating a digital signature
In the following table we have the clustering algorithm results for the variable Percentage of employees that have internet access at their workplace.
The Chi-square algorithm is a statistical technique that tests the relationship between analysed variables.
The various CAD packages use a number of different algorithms to represent solid objects. To establish consistency, the STL (stereolithography,
the majority of countries in the core are developed countries with a relatively 3 This algorithm is implemented in UCINET software Borgatti, S. P.,Everett, M. G. & Freeman, L. C. 2002.'
'An algorithm for modularity analysis of directed and weighted biological networks based on edge-betweenness centrality.'
combined with the Pagerank search algorithm, powered their success. There is no doubt that, at Stanford, Google's founders benefited from a very supportive
Consequently the algorithms behind Pagerank were guarded zealously. However, as Phd research students, they were expected to present their work
In many areas, KUKA has benefited from the control algorithms, technologies and software developed by DLR,
-KUKA uses DLR's model-based minimum cycle time algorithms for high-speed spot welding for car assembly lines.
An algorithm for modularity analysis of directed and weighted biological networks based on edge-betweenness centrality.
bad harvest Ag yield/shock predictions Campaign effectiveness Social network delineated market areas Predictive algorithms to anticipate prod. churn Social network targeted marketing Post-disaster refugee reunification
a correlation algorithm could be developed to reverse engineer approximate values for these indicators, in order to estimate user numbers in between surveys,
Dealing with large heterogeneous data sets calls for algorithms that can understand the data shape
using decision-tree algorithms or other techniques. However, data cleaning itself is a subjective process (for example,
For example, the famous Google pagerank algorithm has spawned an entire industry of organizations that claim to enhance website page rankings,
diminishing the robustness of the original algorithm. For example, the enthusiasm surrounding GFT may well have created rebound effects,
Similarly, Frias-Martinez and Virseda (2012) needed census data to build their algorithms and provide training data for their algorithms to reverse engineer approximate survey maps.
Official statistics will thus continue to be important to building the big data models and for periodic benchmarking
algorithms and software techniques that can be repurposed for business-use cases. Indeed, where the applications of data use for development are concerned,
A Faster Algorithm for Betweenness Centrality, Journal of Mathematical Sociology 25 (2): 163-177. Clauset, A. et al.
Innovative SMES often have dedicated high-tech solutions for specific functions (such as the 3d sound sensors or social media analysis algorithms in the Stratumseind example.
A two-stage clustering algorithm with robust recovery characteristics. Educational and Psychological Measurement 40,755-759.
pseudocausality 7. Relational database 8. Fourier fast transform (FFT)( Cooley and Tuckey) 9. Efficient algorithms; data structure (Knuth and Tarjan) 10.
and studies algorithms and artificial constructs, notably unlimited by physical laws. exploits and addresses exponential growth. seeks the fundamental limits on
the second type is built from a statistical algorithm for analysis of spatial agglomeration named LISA (i e.
Big data is a goldmine for companies Computer algorithms are better at diagnosing severe cancer than humans,
That's done by placing different algorithms onto these large amounts of data. Let me give you an example.
Google ran all the terms through an algorithm a way of making a calculation-that ranked the terms by how well they correlated with flu outbreaks.
It's a demonstrable fact that a computer algorithm is better at diagnosing severe cancer than a human.
235 A Use-Case on Testing Adaptive Admission Control and Resource Allocation Algorithms on the Federated Environment of Panlab...
These components could have direct interworking with control algorithms situated in the control plane of the Internet
the algorithms supporting dynamic mobility could also be distributed. Such integration is accomplished in 44 45 where authors introduce
These designs about architecture for the federated reference model by functional blocks addresses the specification of mechanisms including models, algorithms, processes, methodologies and architectures.
Algorithms and processes to allow federation in enterprise application systems to visualize software components, functionality and performance.
Algorithms and processes to allow federated application management systems reconfigure or redeploy software components realizing autonomic application functionality.
which forces to keep algorithms and procedures, laying at different layers, independent one another. In addition, even in the framework of a given layer, algorithms and procedures dealing with different tasks are designed often independently one another.
These issues greatly simplify the overall design of the telecommunication networks and greatly reduce processing capabilities,
Nevertheless, a major limitation of this approach derives from the fact that algorithms and procedures are poorly coordinated one another,
The issues above claim for a stronger coordination between algorithms and procedures dealing with different tasks.
most of the algorithms and procedures embedded in the telecommunication networks are open-loop, i e. they are based on off-line"reasonable"estimation of network variables (e g. offered traffic), rather than on real-time measurements of such variables.
This claims for an evolution towards closed-loop algorithms and procedures which are able to properly exploit appropriate real-time network measurements.
and hence embedding technology-dependent algorithms and procedures, as well as from the large variety of heterogeneous Actors who are playing in the ICT arena.
this framework, on the one hand, is expected to embed algorithms and procedures which, leaving out of consideration the specificity of the various networks,
which serve as Cognitive Enabler input, coupled with a proper design of Cognitive Enabler algorithms (e g.,
In particular, the concentration of control functionalities in a single framework allows the adoption of algorithms
The concentration of the control functionalities in such Cognitive Enablers allows the adoption of multi-object algorithms and procedures
for the algorithms and rules embedded in the Cognitive Enablers, which are expected to remarkably improve efficiency.
it has been implemented to perform technology independent resource management algorithms (e g.,, layer 2 path selection), in order to guarantee that flow's Qos requirements are satisfied during the transmission of its packets over the network.
In particular, a Connection Admission Control algorithm, a Path selection algorithm and a Load Balancing algorithm has been considered in our tests.
the algorithms the Cognitive Enabler will be based on, have all to be selected carefully case by case;
Stability of end-to-end algorithms for joint routing and rate control. Computer Communication Review 35,2 (2005) 20.
and a novel con 156 C. Kalogiros et al. gestion control algorithm that gives the right incentives to users of bandwidth intensive applications.
routing algorithm, reachability, and Qos for the publication and may support transport abstraction specific policies such as replication and persistence for data-centric communication.
Lock-free wait-free algorithms for common software abstractions (queues, bags, etc. are one of the most effective approaches to exploit multi-core parallelism.
These algorithms are hard to design and prove correct, error-prone to program, and challenging to debug.
and Resource Allocation Algorithms on the Federated Environment of Panlab reports on experiments needing to directly interact with the environment during runtime,
The Author (s). This article is published with open access at Springerlink. com. A Use-Case on Testing Adaptive Admission Control and Resource Allocation Algorithms on the Federated Environment of Panlab Christos
This paper presents a use case where an adaptive resource allocation algorithm was tested utilizing Panlab's infrastructure.
i) to run the experiment by moving a designed algorithm from a simulating environment to near production besteffort environment
A Use-Case on Testing Adaptive Admission Control 239 2 Use Case Description In order for one to test an adaptive admission control and resource allocation algorithm,
Fig. 1. The setup for testing the algorithm The adaptive admission control and resource allocation algorithm is applied to succeed in specific target of network metrics,
like round trip time and throughput. This will be done by deploying a proxy-like control component for admission control
During this scenario the adaptive admission control and resource allocation algorithm is tested against network metrics, like round trip time and throughput.
During the setup, the researcher wants to test http proxy software written in C programming language that implements an admission algorithm.
The algorithm, which is located at the proxy unit, needs to monitor the CPU usage of the Web application and Database machines.
Then the algorithm should be able to set new CPU capacity limits on both resources.
Additionally the algorithm should be able to start and stop the work load generators on demand. 3 Technical Environment, Testbed Implementation and Deployment From the requirements of the use case,
and monitor resources within the C algorithm. So the resources need to provide monitoring and provisioning mechanisms.
-Linux machines for the RUBIS based work load generators-A Linux machine for the hosting the algorithm unit,
and database The final user needs to provide the algorithm under test. He will just login to the Proxy Unit,
For example the RUBIS clients need to know about the IP of the proxy which hosts the algorithm.
Fig. 5. Designing the algorithm to operate resources during execution In our testing scenario there is a need to configure resources
Figure 5 displays this condition where the System Under Test (SUT) is our algorithm. FCI automatically creates all the necessary code that the end user can then inject inside the algorithm's code.
The end-user needs just to ender his credentials in order 244 C. Tranoris, P Giacomin, and S. Denazis FCI to generate the necessary wrapper classes
()is able to give back the CPU usage of the database resource. 5 Conclusions The results of running an experiment in Panlab are encouraging in terms of moving the designed algorithms from simulating environments to near production environments.
What is really attractive is that such algorithms can be tested in a best-effort environment with real connectivity issues that cannot be performed easily in simulation environments.
although not comparable currently with similar approaches are really encouraging in terms of moving the designed algorithms from simulating environments to near production environments.
What is really attractive is that such algorithms can be tested in a best-effort environment with real connectivity issues that cannot be performed easily in simulation environments.
Testing End-to-end Self-Management in a Wireless Future Internet Environment 265 Fig. 4. Decision-making algorithm for configuration action selection Simple Fig. 4 presents
Fig. 5. Decision making algorithm for configuration action selection Advanced 266 A. Kousaridas et al. The above figure (Fig. 5) illustrates the advanced version of the scheme presented above.
in order to evaluate the proposed algorithm and strengthen the proof of concept. Finally, the article concludes with key findings
The path computation is performed by dedicated PCES that implements enhanced computation algorithms able to combine both network
thereby addressing challenge#4. We evaluated an energy efficient routing algorithm (due to space limitations, the detailed algorithm is not 318 P. Vicat-Blanc et al.
Fig. 6. Number of activated fibers. Fig. 7. Number of activated data centers. shown here) from a networked IT use case:
Simulation results (see Fig. 4-6) indicate that our proposed algorithm can decrease the energy consumption by 10%compared to schemes where only IT infrastructure is considered and up to 50%when taking only the network into account
and on service discovery algorithms to provide a generic semantic service registry able to support advanced discovery over both Web APIS
Special algorithms are needed to reduce the amount of processing of MANE in the data plane based on deep analysis of the first packets of a flow
The evaluation algorithm considers the user flow characteristics CAN policies and present network conditions. In order to attain the required flexibility,
and traffic filtering rules by executing security related algorithms over information gathered by the monitoring subsystem.
and prioritized in our proposed system 4. 1 Piece Picking Policy The proposed solution is a variation of the"Give-To-Get"algorithm 8,
While linking low-level features to mid-level concepts are relatively easy to solve using the well-defined algorithms in the state-of-the-art
and are extracted using algorithms with reasonable performance. The rest of this chapter is organised as follows: Section 2 gives a review on the state-of-the-art techniques on context reasoning for multimedia retrieval task;
or content descriptors that can be computed automatically by current machines and algorithms, and the richness,
Fig. 1. Semantic inference work flow One important feature in this module is that the Bayesian network model is constructed automatically using a learning approach based on K2 algorithm 8,
In this algorithm, a Bayesian network is created by starting with an empty network and iteratively adding a directed arc to a given node from each parent node.
Due to the scope of this paper, we give only a brief introduction to K2 algorithm here.
If the reader is interested in more details about this algorithm, please refer to 8. Then in the inference stage,
Modelling and inference in this case were carried out using the K2 algorithm. The proposed approach was tested on a large size video dataset.
Based on this testbed network, experiments and research are performed targeting cloud management algorithms and optimization of the intermittently-available renewable energy sources.
simulation results can only give very limited information about the feasibility of an algorithm or a protocol in the field.
and Internet researchers to validate their cutting-edge technologies (protocols, algorithms, radio interfaces, etc.).Several use cases are currently under detailed analysis for their experimental deployment taking into account relevant criteria from local and regional authorities.
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