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Concept-Based Data Mining with Scaled Labeled Graphs
[chapter]
2004
Lecture Notes in Computer Science
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A model of learning from positive and negative examples, naturally described in terms of Formal Concept Analysis (FCA), is used here to generate hypotheses about biological activity of chemical compounds ...
A standard FCA technique is used to reduce labeled graphs to object-attribute representation. The major challenge is the construction of the context, which can involve tens thousands attributes. ...
When the costs of correct classification and misclassification are not known in advance, "best" models correspond to points lying on the convex hull of leftmost points. ...
doi:10.1007/978-3-540-27769-9_6
fatcat:k6q4bv4pcrh6tm4xsnb6b3yrie
Mining EL Bases with Adaptable Role Depth
[article]
2022
arXiv
pre-print
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We then present a new strategy for mining EL bases which is adaptable in the sense that it can bound the role depth of concepts depending on the local structure of the interpretation. ...
Thus, it is not clear whether a finite base exists and, if so, how large concept expressions may need to be. ...
Parts of this work have been done in the context of CEDAS (Center for Data Science, University of Bergen, Norway). ...
arXiv:2102.10689v3
fatcat:h573hn3osbh37c7pcqsrnrzwhi
Recent granular computing frameworks for mining relational data
2018
Artificial Intelligence Review
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A lot of data currently being collected is stored in databases with a relational structure. ...
This paper summarizes some recent developments in the area of application of granular computing to mining relational data. ...
, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. ...
doi:10.1007/s10462-018-9643-1
fatcat:7o7nrc52djdztipodgifffgon4
Towards Automated Assistance for Mined Roles Analysis in Role Mining Applications
2012
2012 Seventh International Conference on Availability, Reliability and Security
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However, the literature lacks from a clear basis for appraising and leveraging the learning outcomes of the role mining process. In this paper, we provide such a formal basis. ...
In particular, the use of role mining techniques for the discovery of roles from previously deployed authorizations has facilitated the configuration of such frameworks. ...
The execution time does not only depend on the number of mined roles, but it is mostly dependent of the nature of the compared roles and how resembling they are. ...
doi:10.1109/ares.2012.61
dblp:conf/IEEEares/HachanaCCG12
fatcat:d5fuuf6derhzray5zuhhw52k7u
Interactive knowledge discovery and data mining on genomic expression data with numeric formal concept analysis
2016
BMC Bioinformatics
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Gene Expression Data (GED) analysis poses a great challenge to the scientific community that can be framed into the Knowledge Discovery in Databases (KDD) and Data Mining (DM) paradigm. ...
The ability of FCA-based bi-clustering methods to index external databases such as GO allows us to obtain a quality measure of the biclusters, to observe the evolution of a gene throughout the different ...
Funding This work was partially supported by the Spanish Ministry of Economics and Competitiveness projects TEC2014-61729-EXP and TEC2014-53390-P. ...
doi:10.1186/s12859-016-1234-z
pmid:27628041
pmcid:PMC5024470
fatcat:lievmaecvzegvdxsmr7vwohbbi
On mining complex sequential data by means of FCA and pattern structures
[article]
2015
arXiv
pre-print
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We approach the problem using the elegant mathematical framework of Formal Concept Analysis (FCA) and its extension based on "pattern structures". ...
Nowadays data sets are available in very complex and heterogeneous ways. Mining of such data collections is essential to support many real-world applications ranging from healthcare to marketing. ...
He holds master and bachelor degree in applied mathematics and physics from Moscow Institute of Physics and Technology. His research interest includes data mining and artificial intelligences. ...
arXiv:1504.02255v1
fatcat:mdg2cxy7tbaj5l4fqe3jiknyhi
On mining complex sequential data by means of FCA and pattern structures
2015
International Journal of General Systems
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Chedy Raïsi received his PhD in Computer Science from the University of Montpellier and the Ecole des Mines d'Alès in July 2008. ...
His research interests include mathematical models, algorithms and algorithmic problems of machine learning, formal concept analysis, data mining, and knowledge discovery. ...
The experiments reveal interesting (from a medical point of view) and useful patterns, and show the feasibility and the efficiency of our approach. ...
doi:10.1080/03081079.2015.1072925
fatcat:zqnpv5wgrbgm3d42tw6l62hkxa
The Minimum Description Length Principle for Pattern Mining: A Survey
[article]
2022
arXiv
pre-print
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Mining patterns is a core task in data analysis and, beyond issues of efficient enumeration, the selection of patterns constitutes a major challenge. ...
of data and patterns. ...
The contents of this survey reflect the understanding of the author, any mistakes and misinterpretations are her own. ...
arXiv:2007.14009v4
fatcat:jd5ab66jtjevro54docp6qdakm
Mining Unstructured Software Repositories
[chapter]
2013
Evolving Software Systems
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However, data in many software repositories is currently unused because the data is unstructured, and therefore difficult to mine and analyze. ...
He provided keen insight into the academic world and helped me make sense of it all. He gave me resources, a sense of belonging, and encouragement to pursue my ideas. ...
Somewhere in
the middle of the spectrum is topic modeling, which uses a bag-of-word model and word
co-occurrences to approximate the functionality from each test case. ...
doi:10.1007/978-3-642-45398-4_5
fatcat:n5ivswn6brfupjbsuomwddokd4
Comparative Analysis of Data Mining Tools and Techniques for Information Retrieval
2016
Indian Journal of Science and Technology
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It involves use of Fuzzy Ontology Generation framework (FOGA) framework along with Formal Concept Analysis (FCA) based clustering and keyword matching approach. ...
Hidden Markov Model has been used for retrieval of data from search engines in an intelligent and efficient way for correct identification and retrieval from the database. ...
In 8 proposed a developed model so as to mine information through graph analysis. In case of data mining, views of clustering web nodes and find item sets for association rule are presented. ...
doi:10.17485/ijst/2016/v9i11/81658
fatcat:3kfsfwrczvcdrclqrvkqedp7vq
Mining interesting subgraphs by output space sampling
2010
SIGKDD Explorations
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From a graph point of view, one can consider the itemset dataset as a clique dataset where every item in the itemset is just the vertex label of one of the vertices of the cliques. ...
In this approach, a user defines a ranking function depending on the prospective usage of the frequent patterns. ...
doi:10.1145/1882471.1882482
fatcat:zye25ck5wjfxdc3afpczjdutmq
Mining Frequent Generalized Patterns for Web Personalization in the Presence of Taxonomies
2010
International Journal of Data Warehousing and Mining
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FGP takes as input the transaction data and a hierarchy of categories and produces generalized association rules that contain transaction items and/or item categories. ...
Moreover, most of the content available online is either explicitly or implicitly characterized by a set of categories organized in a taxonomy, allowing the page-level navigation patterns to be generalized ...
Her research interests cover the areas of web mining and recommender systems and, in particular, on personalization of web sites and search engines, interactive database exploration, and mining of social ...
doi:10.4018/jdwm.2010090804
fatcat:zhgm2xvhnbgqliamcjr3sk5kbu
Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems
2014
2014 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks
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In this paper, we present an automated mining-based approach for suggesting an appropriate healing action for a given new issue. ...
Reducing the MTTR (Mean Time to Restore) of a service remains one of the most important steps to assure the user-perceived availability of the service. ...
Then the outcomes x, y, n, m can approximately represent the joint distribution of X c and Y as illustrated in Table I . ...
doi:10.1109/dsn.2014.39
dblp:conf/dsn/DingFLLZX14
fatcat:mwoqzei27rff3o7u5eacnrkv2q
MISNIS: An intelligent platform for twitter topic mining
2017
Expert systems with applications
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This is especially relevant if one considers that Twitter has no ways of indexing tweet contents, and that the only available categorization "mechanism" is the #hashtag, which is totally dependent of a ...
This paper presents an intelligent platform and framework, named MISNIS -Intelligent Mining of Public Social Networks' Influence in Society -that facilitates these issues and allows a non-technical user ...
Figure 6 :Figure 7 : 67 Intelligent topic mining steps when viewed from the user dashboard Intelligent topic mining results' visualization
Table 1 : 1 Database access endpoints of the REST API. ...
doi:10.1016/j.eswa.2017.08.001
fatcat:df7p5zmrqjehxo7nsxjnow52ae
Semantic Web Mining
2006
Journal of Web Semantics
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This paper is a completed and revised version of the paper published by the IEEE Intelligent System Journal (May-June 2002). ...
Acknowledgments The author thanks her collaborators in the Caderige project, in particular Philippe Bessières, Gilles Bisson, Adeline Nazarenko and Mohamed Ould Abdel Vetah for their contribution to the ...
The objective is to fill predefined template slots and databases, such as shown in Figure 1b . In functional genomics, even such a restrictive view of IE is useful. ...
doi:10.1016/j.websem.2006.02.001
fatcat:etdbjqptcvd3lmyzwyrii77sly
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