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A Study on Classification Approaches across Multiple Database Relations

Dr. M. Thangaraj, C.R. Vijayalakshmi
2011 International Journal of Computer Applications  
In this paper, we present the several kinds of classification method across multiple database relations including Inductive Logic Programming (ILP), Relational database, Emerging Pattern, Associative approaches  ...  Stochastic Logic Programs (SLPs) [39] have been a generalization of Hidden Markov Models, stochastic context-free grammars, and directed Bayes nets.  ...  At present, the method mainly includes Inductive Logic Programming and Bayesian Networks, ILP and Stochastic Grammars.  ... 
doi:10.5120/1740-2366 fatcat:ianpqmt25vb6bbpmajvc76qxxy

Maximum Entropy modeling with Clausal Constraints [chapter]

Luc Dehaspe
1997 Lecture Notes in Computer Science  
First experiments indicate Maccent may be useful for prediction, and for classi cation in cases where the induced model should be combined with other stochastic information sources.  ...  a richer rstorder logic format.  ...  Acknowledgements Luc Dehaspe is supported by the ESPRIT IV project no. 20237 on Inductive Logic Programming II (ILP 2 ).  ... 
doi:10.1007/3540635149_39 fatcat:samvmfv46bdkppbu4e427pgwpi

Analysis and Comparative Study of Classifiers for Relational Data Mining

Vimalkumar B.Vaghela, Kalpesh H. Vandra, Nilesh K. Modi
2012 International Journal of Computer Applications  
To classify data from relational database need of multi-relational classification arise which is used to analyze relational database and used to predict behavior and unknown pattern automatically which  ...  In this paper, we present the several kinds of multi-relational classification methods including Inductive Logic Programming (ILP) based, Associative based multirelational classification, Emerging Patterns  ...  Stochastic Logic Programs (SLPs) [34] have been a generalization of Hidden Markov Models, stochastic contextfree grammars, and directed Bayes nets.  ... 
doi:10.5120/8765-2685 fatcat:5vxdwr2ng5h6ho32o2x6x7g6mi

Page 149 of The Journal of Business Vol. 70, Issue 1 [page]

1997 The Journal of Business  
‘‘A Real-Time Priority Pricing Approach for Resource Allocation in Multi-Service Class Data Communication Net- works.” Ali Jenzarli. Univ. Kansas. *‘Modeling Dependence in Project Management.”  ...  *‘Part Time Estimates: A Logical Alterna- tive with Improved Accuracy.”’  ... 

High-fidelity discrete modeling of the HPA axis: a study of regulatory plasticity in biology

Hooman Sedghamiz, Matthew Morris, Travis J. A. Craddock, Darrell Whitley, Gordon Broderick
2018 BMC Systems Biology  
Access to each regime is dependent on HPA axis tone, captured here by the tunable parameters of the multi-valued logic.  ...  Method: Here we introduce and apply a generalized discrete formalism to recover multiple stable regulatory programs of the HPA axis using little more than connectivity between physiological components.  ...  However, this multi-valued logical model becomes more useful as the size of the network increases.  ... 
doi:10.1186/s12918-018-0599-1 pmid:30016990 pmcid:PMC6050677 fatcat:ozp6jyd4m5hj7dxt4lw5f5xzzm

STUDENT PREDICTION SYSTEM FOR PLACEMENT TRAINING USING FUZZY INFERENCE SYSTEM

Ravi Kumar Rathore, J Jayanthi
2017 ICTACT Journal on Soft Computing  
Proposed student prediction system is most vital approach which may be used to differentiate the student data/information on the basis of the student performance.  ...  For instance, here we will classify the student's data set for placement and non-placement classes.  ...  Malaise [3] used multi agent data mining technique for predicting student performance.  ... 
doi:10.21917/ijsc.2017.0199 fatcat:duqfxyplera2pfuv4s6lpko7zi

Role of the Computational Intelligence in Drugs Discovery and Design: Introduction, Techniques and Software

Geeta Yadav, Yugal Kumar, G. Sahoo
2012 International Journal of Computer Applications  
Programming, Evolutionary Programming, Evolutionary Strategy and also provide a tabular comparison of these techniques as well as a list of computational tools/ software.  ...  But, now day's use of these techniques has changed the scenario in drugs discovery. & design from the last two decades.  ...  The genetic algorithms are the sub class of evolutionary computations.  ... 
doi:10.5120/8076-1476 fatcat:osddvf4ygnevdktvyhqwb3did4

5-17,Tesma305,IJEAST.pdf

Osama Mohammed Elmardi Suleiman Khayal
2018 Figshare  
Dynamicscheduling could be classified into four categories,completely reactive scheduling, predictive-reactivescheduling, robust predictive-reactive scheduling, androbust pro-active scheduling.  ...  The scheduling problems are classified based onthe nature of the shop configuration into five classes, i.e.,single machine, parallel machines, flow shop, job shop, andopen shop.  ...  Predictive-reactive scheduling Predictive-reactive scheduling is the most common dynamic scheduling approach used in manufacturing systems.  ... 
doi:10.6084/m9.figshare.7379393 fatcat:fcdzn7qcpva2lpvzd6kkhxftfu

Table of Contents

2022 IEEE Transactions on Automatic Control  
Chen 189 Asymptotic Tracking and Linear-Like Behavior Using Multi-Model Adaptive Control . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Rafael 344 Digital Implementation of Derivative-Dependent Control by Using Delays for Stochastic Multiagents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tac.2021.3133997 fatcat:zcoxezemwvhixkcxgtuazvl7g4

Integrating stochastic programs and decision trees in capacitated barge planning with uncertain container arrivals

Volkan Gumuskaya, Willem van Jaarsveld, Remco Dijkman, Paul Grefen, Albert Veenstra
2021 Transportation Research Part C: Emerging Technologies  
. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.  ...  On the other hand, a multi stage stochastic program of this size would lead to tractability issues.  ...  Decision trees are typically used to make class predictions, i.e. point forecasts for the uncertain variables. Using directly the class predictions results in a form of deterministic approach.  ... 
doi:10.1016/j.trc.2021.103383 fatcat:ingmmlvw7bcfxatoj7hh4nu7du

Abstracts

1970 IBM Systems Journal  
This paper describes a method whereby multi- ple regression techniques are used to predict the delay between input and output signals through a combinatorial logic chain.  ...  Stochastic Model for Manufacturing Cost Estimating by C. T. Abraham and R. D. Prasad; Dynamic Inventory Models and Stochastic Programming by M. N.  ... 
doi:10.1147/sj.91.0073 fatcat:cmjjqivitje4nkkowzvx5jm2fe

Table of Contents - Volume 5

2008 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery  
Stochastic Chance-Constrained Mixed Integer Programming Model for Inter-basin Water Resources Management Systems under Uncertainty .....................................................................  ...  ....................................................................................................................................124 Fei Yuan and Jian Hou Time-Delay Dependent State Feedback Fuzzy-Predictive  ... 
doi:10.1109/fskd.2008.642 fatcat:c6h4t4bpvrf5viyoag3xd5agty

Feature Construction for Relational Sequence Learning [article]

Nicola Di Mauro and Teresa M.A. Basile and Stefano Ferilli and Floriana Esposito
2010 arXiv   pre-print
We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences.  ...  This feature selection task has been solved adopting a wrapper approach that uses a stochastic local search algorithm embedding a naive Bayes classifier.  ...  In the first category there are work belonging to the Inductive Logic Programming area [9] , that reformulate the initial relational problem into an attribute-value form, by using frequent patterns as  ... 
arXiv:1006.5188v1 fatcat:xyifh2y4jfc7zcsfz2vog3nmjm

Relational Classification using Multiple View Approach with Voting

Shraddha Modi
2013 International Journal of Computer Applications  
Classification is an important task in data mining and machine learning, in which a model is generated based on training dataset and that model is used to predict class label of unknown dataset.  ...  To classify data from relational format need of multirelational classification arise which is used to analyze relational data and used to predict behaviour and unknown pattern automatically.  ...  At present, the method mainly includes Inductive Logic Programming and Bayesian Networks, ILP and Stochastic Grammars.  ... 
doi:10.5120/12153-8126 fatcat:njzueaegvnehhowcdyd4fk4qt4

Extraction of Social Structure Change from Survey Data

Keita Kinjo, Akiko Aizawa, Tomonobu Ozaki
2010 Transactions of the Japanese society for artificial intelligence  
order logic.  ...  Finally, meaningful structural changes and integrity constraints can be obtained by applying inductive logic programming to a dynamic network and the related background knowledge represented in the first  ...  multi-relational data mining, ACM SIGKDD Explorations Hasan, M.A., Chaoji, V., Salem, S., Zaki, M.: Link prediction using supervised learning, In Proceedings of SDM 06: SIAM Conference on Data Mining  ... 
doi:10.1527/tjsai.25.452 fatcat:d5mz3rmkmvfgbcz7czphgx6oim
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