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AN EFFICIENTFUZZY C-MEANS CLUSTERING ALGORITHM FOR MULTI-VALUED DATA SETS

P Gopala Krishna, D Lalitha Bhaskari
2021 Information Technology in Industry  
The proposed clustering algorithm as fuzzy c- means based Clustering of Multivalued Attribute Data (FCM-MVA).Therefore this becomes feasible using any mechanisms for cluster analysis to group similar data  ...  The proposed algorithm is a partition clustering strategy that uses fuzzy c- means clustering for evolutions, which is using the novel member ship function by utilizing the proposed similarity measure.  ...  [2] suggested a clustering technique for transnational data using kmeans algorithm by using the Jaccard similarity measure to cluster the multivalued attribute data but meets a weak convergence of the  ... 
doi:10.17762/itii.v9i1.265 fatcat:peintnypwngj7phgvagc2y3574

Conceptual Modeling of Geographic Information System Applications [chapter]

Adnan Yazici, Kemal Akkaya
2000 Studies in Fuzziness and Soft Computing  
An important research trend in databases is to handle different types of uncertainty at both conceptual and logical levels for various non-traditional applications that may involve imprecision and uncertainty  ...  In this study we describe how to conceptually model complex and uncertain information at the conceptual level (by utilizing the ExIFO 2 model) for Geographic Information System (GIS) applications.  ...  Acknowledgements We thank to the anonymous reviewers of this paper for their helpful input.  ... 
doi:10.1007/978-3-7908-1845-1_7 fatcat:wh4mxifhwvd6znucyfe3kw564m

A Novel Algorithm for Mining Hybrid-Dimensional Association Rules

R. Chithra, S. Nickolas
2010 International Journal of Computer Applications  
In this paper, a novel algorithm is proposed for mining hybrid-dimensional association rules which are very useful in business decision making.  ...  The proposed algorithm uses multi index structures to store necessary details like item combination, support measure and transaction IDs, which stores all frequent 1-itemsets after scanning the entire  ...  is multivalued, representing products purchased(a 31 -computer, a 32 -printer).  ... 
doi:10.5120/342-521 fatcat:xgtmwifpsnfydbiu6bldfvmkla

Data dependencies in extended possibility-based fuzzy relational databases

Z. M. Ma, W. J. Zhang, W. Y. Ma, F. Mili
2002 International Journal of Intelligent Systems  
A set of inference rules for FFDs and FMVDs is then proposed.  ...  , where fuzziness of data appears in attribute values in the form of possibility attributions, as well as resemblance relations in attribute domain elements, called extended possibility-based fuzzy relational  ...  Acknowledgments The authors thank NSERC and AECL, Canada, for support to this study. References  ... 
doi:10.1002/int.10024 fatcat:2eejfo4sarfa7jfdyif75um4nm

Weighting of Features in Content-Based Filtering with Entropy and Dependence Measures

Jorge Castro, Rosa M. Rodriguez, Manuel J. Barranco
2013 International Journal of Computational Intelligence Systems  
In this contribution, it is proposed a new method for obtaining the weights of the features by means of entropy and coefficients of dependency.  ...  In such a process, it is very interesting to know which features of the items are more important for each user, thus the CBRS provides them higher weight.  ...  Before applying these measures, it is necessary to fix a relevance criteria to decide whether a product is relevant for a user.  ... 
doi:10.1080/18756891.2013.859861 fatcat:duhugjy2jzgf7gvcjzvbkxencu

Applying Neural Network Model to Hybrid Tourist Attraction Recommendations

Marcelli Indriana, Chein-Shung Hwang
2014 Jurnal ULTIMATICS  
Neural network model will learn by processing a training dataset, comparing the network's prediction for each dataset with the actual known target value.  ...  Recently, recommender systems have been developed for a variety of domains. Recommender systems also can be applied in tourism industry to help tourists organizing their travel plans.  ...  : (9) where represents the similarity between tourist a and b for a multivalued attribute; is the collection of values that tourist a given for multivalued attribute j; is the collection of values that  ... 
doi:10.31937/ti.v6i2.339 fatcat:2zvvhxg7hjfzthlizaa3qqkqde

VirtuE: a formal model of virtual enterprises for information markets

Alessandro D'Atri, Amihai Motro
2007 Journal of Intelligent Information Systems  
Finally, it provides means for the instrumentation of enterprises, to measure their performance and to govern their behavior.  ...  The virtual enterprise paradigm is particularly appealing for modeling collaborations for manufacturing information products, and in this paper we present a new model, called VirtuE, for modeling such  ...  For example, the Quality of a particular content may be unknown. Null values are allowed only in the optional attributes. Multivalue. A multivalue is a set of possible values.  ... 
doi:10.1007/s10844-006-0013-0 fatcat:3pjx5r3abzf6be4ctbe5go5iee

Shape-Based Analysis on Component-Graphs for Multivalued Image Processing

Éloïse Grossiord, Benoît Naegel, Hugues Talbot, Laurent Najman, Nicolas Passat
2019 Mathematical Morphology - Theory and Applications  
for the effective processing of multivalued images.  ...  Recently, a new notion of component-graph was introduced to extend the component-tree to any grey-level or multivalued images.  ...  Except in a small number of works (for instance in the case of label spaces [9, 10] ), most contributions intend to define relevant total orderings on multivalued spaces as originally described in [11  ... 
doi:10.1515/mathm-2019-0003 fatcat:2oweqcaf5fe2ngo7f2m45yikf4

Shape-Based Analysis on Component-Graphs for Multivalued Image Processing [chapter]

Éloïse Grossiord, Benoît Naegel, Hugues Talbot, Nicolas Passat, Laurent Najman
2015 Lecture Notes in Computer Science  
This study opens the way to new paradigms for connected filtering based on hierarchies. considering a simplifying metric (e.g., a saliency measure for hierarchical watersheds [5], a merging order for partition  ...  view) and shaping (that extend component-trees from a conceptual point of view) can be associated for the effective processing of multivalued images.  ...  Meignan (Hôpitaux Universitaires Henri-Mondor, Lymphoma Academic Research Organisation, Créteil, France), for providing the PET / CT images.  ... 
doi:10.1007/978-3-319-18720-4_38 fatcat:vvmx46gurjd5bky3ftvup424oi

Rocchio Algorithm to Enhance Semantically Collaborative Filtering [chapter]

Sonia Ben Ticha, Azim Roussanaly, Anne Boyer, Khaled Bsaïes
2015 Lecture Notes in Business Information Processing  
The aim of our approach is to predict users preferences for items based on their inferred preferences for semantic information of items.  ...  Recommender system provides relevant items to users from huge catalogue. Collaborative filtering and content-based filtering are the most widely used techniques in personalized recommender systems.  ...  For example, the attribute movie genre is multivalued because a movie can have several genres while movie origin is a mono valued attribute because a movie has only one origin.  ... 
doi:10.1007/978-3-319-27030-2_19 fatcat:esuqmrpvrvczbd7gy6wa5tw7wa

User Semantic Model for Dependent Attributes to Enhance Collaborative Filtering
english

Sonia Ben Ticha, Azim Roussanaly, Anne Boyer, Khaled Bsaïes
2014 Proceedings of the 10th International Conference on Web Information Systems and Technologies  
For this, we design a new user semantic model by using Rocchio algorithm and we apply a latent semantic analysis to reduce the dimension of data.  ...  The aim of this work is to introduce a new approach for semantically enhanced collaborative filtering. Many works have addressed this problem by proposing hybrid solutions.  ...  In summary, for building the user semantic attribute matrix Q A for a dependent attribute A; first, we apply a TF-IDF measure on Frequency Item Matrix F ; second, we reduce the dimension of Frequency Item  ... 
doi:10.5220/0004951102050212 dblp:conf/webist/TichaRBB14 fatcat:t4xqln4lzfdipf6wccq4vhxuua

Combining machine learning and propensity score weighting to estimate causal effects in multivalued treatments

Ariel Linden, Paul R Yarnold
2016 Journal of Evaluation In Clinical Practice  
This paper extends a previously described analytic framework for evaluating binary treatments to studies involving multivalued treatments utilizing a machine learning algorithm called optimal discriminant  ...  measures applicable to all prognostic analyses.  ...  For binary covariates (e.g. female), the model is specified with the covariate as the class and treatment level as the attribute. Thus, pairwise comparisons are not relevant and noted as "--".  ... 
doi:10.1111/jep.12610 pmid:27421786 fatcat:5irxakmhybgntc52zs5aneecru

An Efficient Logical Design Method for Physicochemical Property Database

Delin OU, Kuiyuan ZHAO, Masaaki MURAKI, Toyohiko HAYAKAWA
1993 Journal of the Japan Petroleum Institute  
The last one is to introduce a Table 1 The Principal Functions new relation and to use separate fields (attributes) for disposal of the default and multivalue problems in the physicochemical data, which  ...  Then, three measures are proposed for improving the physicochemical data analysis and design.  ... 
doi:10.1627/jpi1958.36.347 fatcat:hj7c5wpxjfgdtf5ckria74mmjq

Page 4111 of Mathematical Reviews Vol. , Issue 93h [page]

1993 Mathematical Reviews  
The Bayes prin- ciple for multivalued measurement systems plays a central role in this paper.  ...  A stronger criticism is mounted, and the relevance of mathematical Platonism analysed.  ... 

Some asymptotic results for the combination of evidence problem

I.R. Goodman
1987 Mathematical Modelling  
This occurs,for example,for attributes representing ordinary numerical measurements-as opposed to those attributes representing linguistic-based in-~.___*I__ Tormatlo".  ...  s for the probabilistic attributes.  ...  ,Y;in general, unless specified, all equations will 6e assumed to hold for all values of the relevant variables.  ... 
doi:10.1016/0270-0255(87)90577-x fatcat:kp4csf7purhllc6y7y3mhy3x7y
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