Results 41 to 50 of about 9,792 (165)
Fuzzy modeling and bayesian inference network [PDF]
Informatică economică, 2007 Data mining is an evolving and growing area of research and involves interdisciplinary research and development encompassing diverse domains. In this age of multimedia data exploration, data mining should no longer be restricted to the mining of ...
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Distributed fuzzy clustering algorithm for mixed-mode data in Apache SPARK
Journal of Big Data, 2022 Fuzzy clustering is an invaluable data mining technique that allows each data point to belong to more than one cluster with some degree of membership. It is widely employed in exploratory data mining to discover overlapping communities in social networks,
Abdul Wahab Akram, Zareen Alamgir
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Classification of Credit Applicants of Banking Systems Using Data Mining and Fuzzy Logic [PDF]
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2012 This research study aims at using Data Mining and Fuzzy Logicapproaches to classify the credit scoring of banking system applicantsas to cover uncertainties and ambiguity connected with applicantclasses and also variables that affect their behavior.The ...
Mohammad Taghi Taghavifard, Ahmad Nadali
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Hiding Fuzzy Sequential Patterns by a Multi-Objective Scheme
International Journal of Information and Communication Technology Research, 2016 Improvements in technology have led to generating and mining huge amounts of data. Sequence mining is a research area of data mining that aims to extract useful knowledge from raw databases.
Olya Sadat Behbahani +2 more
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Cybernetics and Information Technologies, 2018 Opinion Mining or Sentiment Analysis is the task of extracting people final opinion about something through their unstructured sentiments. The Opinion Mining process is as follows: first, product features which are most important to a user are extracted ...
Bordbar Samira, Shamsinejad Pirooz
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Fuzzy quantification for linguistic data analysis and data mining
CoRR, 2018 Fuzzy quantification is a subtopic of fuzzy logic which deals with the modelling of the quantified expressions we can find in natural language. Fuzzy quantifiers have been successfully applied in several fields like fuzzy, control, fuzzy databases, information retrieval, natural language generation, etc.
Félix Díaz-Hermida, Juan Carlos Vidal
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Neuro-Fuzzy Data Mining Mexico’s Economic Data [PDF]
, 2014 Given the increase of data being collected, there is a need to explore the use of tools to automate the recognition and extraction of patterns within some targeted data. The present work explores the use of a neuro-fuzzy classifier for the multi-factor productivity from the manufacturing sector in the Mexican economy.
Gustavo Becerra-Gaviño +1 more
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Efficient mining fuzzy association rules from ubiquitous data streams
Alexandria Engineering Journal, 2015 Due to the development in technology, a number of applications such as smart mobile phone, sensor networks and GPS devices produce huge amount of ubiquitous data in the form of streams. Different from data in traditional static databases, ubiquitous data
Amal Moustafa +2 more
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Existing Situation of Data Mining Research and Its Development Tendency
Gong-kuang zidonghua, 2011 From the definition of data mining, the paper introduced concepts and advantages and disadvantages of neural network algorithm, decision tree algorithm, genetic algorithm, rough set method, fuzzy set method and association rule method of data mining ...
WANG Hui-zhong, PENG An-qun
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Quality measures for fuzzy predicates in conjunctive and disjunctive normal forms
Ingeniería e Investigación, 2014 Association rule mining is a very popular data mining technique. Rules in this technique are often used to identify and represent de-pendencies between attributes in databases.
Taymi Ceruto Cordovés +2 more
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