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Concept lattice based composite classifiers for high predictability

Zhipeng Xie, Wynne Hsu, Zongtian Liu, Mong Li Lee
2002 Journal of experimental and theoretical artificial intelligence (Print)  
In this paper, we integrate the simple base classifier (Naïve Bayes or Nearest Neighbor) into each node of the concept lattice to form a new composite classifier.  ...  CLNB integrates the Naïve Bayes base classifier into concept nodes while CLNN incorporates the Nearest Neighbor base classifier into concept nodes.  ...  The concept lattice template takes a base classifier class as its parameter.  ... 
doi:10.1080/09528130210164206 fatcat:yw3lajryyjdjzgyl2vso6ybrvq

Formal concept analysis for knowledge discovery from biological data

Khalid Raza
2017 International Journal of Data Mining and Bioinformatics  
This review paper presents the applications of formal concept analysis for the analysis and knowledge discovery from biological data, including gene expression discretization, gene co-expression mining  ...  It also presents a list of FCA-based software tools applied in biological domain and covers the challenges faced so far.  ...  With the help of tripartite lattice, they classified protein from domain composite and their corresponding GO term description.  ... 
doi:10.1504/ijdmb.2017.10009312 fatcat:wdopyvkr4jh63loxlsv6z6dmie

Survey on Formal Concept Analysis Based Supervised Classification Techniques [chapter]

Hayfa Azibi, Nida Meddouri, Mondher Maddouri
2020 Frontiers in Artificial Intelligence and Applications  
We distinguish overall complete lattice methods, sub-lattice methods and concept cover methods. Methods based on ensemble classifiers rely on the use of many classifiers.  ...  In this paper, we present a survey of many FCA-based approaches for classification by dividing them into methods based on a mono-classifier, methods based on ensemble classifiers and methods based on distributed  ...  First, we introduced methods based on mono-classifier that regroup the methods based on full lattice, sub-lattice and cover concept. Second, we presented methods based on classifiers ensemble.  ... 
doi:10.3233/faia200762 fatcat:a4kasm3cxndxbogzree7mud5fe

A process to identify relevant substitutes for healing failed WS-* orchestrations

Okba Tibermacine, Chouki Tibermacine, Foudil Cherif
2015 Journal of Systems and Software  
A QoS-driven self-healing method for reliable web service composition was introduced in (Dai et al. (2009) ). The method predicts QoS and performance during composition.  ...  FCA reveals specialization relationships (composition and substitution) between the concepts, and organizes them into concept lattices for facilitating the retrieval of service substitutes.  ... 
doi:10.1016/j.jss.2015.02.028 fatcat:owocleuc5zdl5oqcn6l72gyd2u


Nida Meddouri, Hela Khoufi, Mondher Maddouri
2021 International Journal of Artificial Intelligence and Machine Learning  
This paper presents a new approach to building a single part of the lattice with best possible concepts. This approach is based on parallel ensemble learning.  ...  Recently, researchers have been interested in the ensemble methods (sequential/parallel) to combine a set of classifiers. The combination of classifiers is made by a vote technique.  ...  Therefore, it cannot be used for classifiers based on Formal Concept Analysis.  ... 
doi:10.4018/ijaiml.20210701.oa3 fatcat:tpum4exuh5d2jjkx3eg2ueussu

Lattice Structures and Functionally Graded Materials Applications in Additive Manufacturing of Orthopedic Implants: A Review

Dalia Mahmoud, Mohamed Elbestawi
2017 Journal of Manufacturing and Materials Processing  
One downside of metallic materials is the high stiffness and weight, which sometimes make them unsuitable for orthopedic implant.  ...  A major benefit of these materials over composite and coated materials is that for FGM, the variation in composition is gradual, which reduces the stress concentration effects near the interface between  ...  [101] proposed a similar optimization method based on the homogenization concept.  ... 
doi:10.3390/jmmp1020013 fatcat:swfpk4iinvgm5o47znoniwzfaa


Sangeeta Mittal, Krishna Gopal, S.L. Maskara
2013 International Journal on Smart Sensing and Intelligent Systems  
labeled training data is critical for computation of situations.In this paper, we propose a versatile method based on formal concept analysis to overcome these difficulties in modelingsensor based situations.Our  ...  The recognition results obtained have high precision and recall.  ...  The concept lattice designed as Activity Lattice will be useful fordiscovery, prediction and as a browsing space for activity retrieval.  ... 
doi:10.21307/ijssis-2017-547 fatcat:opimrm3eybacri6imvdlpcvkuu

An Enormous Class of Double Half-Heusler Compounds with Low Thermal Conductivity [article]

Shashwat Anand, Max Wood, Chris Wolverton, G. Jeffrey Snyder
2019 arXiv   pre-print
Thermoelectric performance of the state-of-the-art ternary half-Heusler compounds are limited by their intrinsically high lattice thermal conductivity (κ_L).  ...  We demonstrate a dependable strategy to assist the search for low thermal conductivity half-Heuslers and point towards a huge composition space for implementing it.  ...  We also classify the likelihood of a predicted quaternary half-Heusler to be depending on whether there are past experimental reports of the half-Heusler phase in associated NV ≠ 0 ternary systems (for  ... 
arXiv:1901.09800v1 fatcat:zckxebhaifdvdedpaszgumuysy

Model Discovery And Validation For The Qsar Problem Using Association Rule Mining

Luminita Dumitriu, Cristina Segal, Marian Craciun, Adina Cocu, Lucian P. Georgescu
2007 Zenodo  
These approaches are based either on statistical methods or on predictive data mining.  ...  Predictive data mining techniques use either neural networks, or genetic programming, or neuro-fuzzy knowledge. These approaches have a low explanatory capability or non at all.  ...  -meaning a very highly toxic compound classified as medium or low; 2) a fifth of the high toxicity compounds could not be classified, most of them have been correctly classified, a sixth have been classified  ... 
doi:10.5281/zenodo.1080493 fatcat:7p6jrjpoyndenlhkd7sv5bckhi

Crystallography of Boundaries and Interfaces

W. Neumann
1996 Acta Physica Polonica. A  
The main crystallographic concepts of characterizing interface structures are treated and reviewed.  ...  Useful geometrical models for treating crystalline interfaces, especially homophase boundaries, are based on the concepts of -the coincidence site lattice (CSL), -the displacement shift complete (DSC)  ...  Useful constructions for the treatment of the symmetry of bicrystals are -the concept of dichromatic pattern (dcp) [21] , -the concept of dichromatic complex (dc) [24] .  ... 
doi:10.12693/aphyspola.89.195 fatcat:qogpspp2kvcgjpmcfaxwgzq4pm

Information-predicting systems for the design of new materials

N.N. Kiselyova
1993 Journal of Alloys and Compounds  
These predictive techniques are based on machine learning strategies.  ...  In this paper we discuss the main principles for the cybernetic prediction of inorganic substances which would have predefined properties.  ...  Such a high accuracy for a priori predictions is not ensured by any other known theoretical method.  ... 
doi:10.1016/0925-8388(93)90039-p fatcat:6emxjl4rhzgtbegp4obblcagye

Mechanical design and multifunctional applications of chiral mechanical metamaterials: A review

Wenwang Wu, Wenxia Hu, Guian Qian, Haitao Liao, Xiaoying Xu, Filippo Berto
2019 Materials & design  
Design of chiral mechanical metamaterials are reviewed, theoretical models are elaborated for exploring the deformation mechanisms. • Multifunctional mechanical benefits and limitations of chiral mechanical  ...  past several years, making use of the node rotation and ligament bending deformation features of chiral elements, various types of 2D and 3D chiral mechanical metamaterials are designed and proposed for  ...  Making use of coupled uniaxial and rotational deformations, chiral auxetics based composite damper structures are proposed for realizing high dissipation efficiency [115] .  ... 
doi:10.1016/j.matdes.2019.107950 fatcat:khmrjj26lnerpj5xmybthj76ia

Building Hierarchical Component Directories

Nour Aboud, Gabriela Arévalo, Olivier Bendavid, Jean-Rémy Falleri, Nicolas Haderer, Marianne Huchard, Chouki Tibermacine, Christelle Urtado
2019 Journal of Object Technology  
This directory uses Formal Concept Analysis to build component type hierarchies thanks to a three step classification process that successively classifies functionality signatures, interfaces and, at last  ...  Component-based development is the software paradigm focused on building applications using reusable software components.  ...  Section 4 provides a high level overview of the three-step classification process in which we show how we classify functionality signatures, interfaces and component types based on substitution.  ... 
doi:10.5381/jot.2019.18.1.a2 fatcat:o5ckbf46fjeu3lomqzhvceirgm

Navigating the Complex Compositional Landscape of High-Entropy Alloys [article]

Jie Qi, Andrew M. Cheung, S. Joseph Poon
2021 arXiv   pre-print
High-entropy alloys, which exist in the high-dimensional composition space, provide enormous unique opportunities for realizing unprecedented structural and functional properties.  ...  In an alternative method, the effectiveness of using phenomenological features and data-inspired adaptive features in the prediction of the high-entropy solid solution phases and intermetallic alloy composites  ...  The vast compositional flexibility of HEAs provides a new concept for discovering desirable properties.  ... 
arXiv:2011.14403v2 fatcat:r424l7eprjdjvpogp3vo4x7dyu

A medical terminology server [chapter]

Carole Goble, Peter Crowther, Danny Solomon
1994 Lecture Notes in Computer Science  
concepts.  ...  In this paper we present GRAIL, the GALEN Terminology Server and make some remarks on the coupling of the classification-based clinical knowledge base (implemented in Smalltalk) with a relational database  ...  It appears that (somewhat unsurprisingly): 1. storing a definition is better for applications with relatively small knowledge bases and high creation-to-retrieval rates. 2. storing a classified network  ... 
doi:10.1007/3-540-58435-8_232 fatcat:nvh72mtp35cadhjqxljq5vn2sa
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