[PDF] Top 20 E Learning Attributes Selection Through Rough Set Theory and Data Mining
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E Learning Attributes Selection Through Rough Set Theory and Data Mining
... Attribute selection is one of the filters in data preprocessing that can help us to reduce the time complexity in the search space which is of exponential and intensive computational ...of attributes ... See full document
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Application of Rough Set Theory in Data Mining
... Keywords: Rough set theory, data mining, decision table, decision rule, data ...Introduction Rough set theory (RST) is a major mathematical method developed ... See full document
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Enhanced data mining analysis in higher educational system using rough set theory
... words: Data mining, knowledge discovery, rough set, lower approximation and upper approximation, characteristic sets, missing attribute ...INTRODUCTION Rough set theory is ... See full document
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Analysis of Software Process Metrics Using Data Mining Tool -A Rough Set Theory Approach
... Using Data Mining Tool -A Rough Set Theory Approach ACS-International Journal in Computational Intelligence, Vol-3, Issue-1 Mar 2012 | 121 As per the constructed Combinational rule ... See full document
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Study on Software Process Metrics using Data Mining Tool A Rough Set Theory Approach
... cost through identifying the potential resource for the ...skill set relevant to the assigned ...skill set components and identified as a weak set of employees through equivalence ... See full document
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A NOVEL APPROACH OF ROUGH SET ANALYSIS IN DISTRIBUTED DATA MINING
... Rough set theory is a new mathematical approach to imperfect ...fuzzy set theory proposed by Zadeh .Rough set theory proposed by Zpawlak presents still another ... See full document
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Obtaining Rough Set Approximation using MapReduce Technique in Data Mining
... Abstract—Nowadays data growing at tremendous rate, which creates a many challenges in immense data mining and knowledge ...discovery. Rough set theory is one of the tool for ... See full document
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An Efficient Way of Finding Optimal Path using Protein Data Set: Ant Colony Optimization with Rough Set Theory for Feature Selection
... the data mining process to classify the several problems ...protein data into different levels and it requires various characteristics of protein ...big data based protein data ... See full document
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Hybrid Nature Inspired Algorithms and Rough Set Theory in Feature Selection for Classification: A Review
... 7.Pham, D.,Ghanbarzadeh, A.,Koc, E., Otri, S.,Rahim, S., and Zaidi, M., “The bees algorithm-a novel tool for complex optimisation problems” , in Proceedings of the 2nd virtual international conference on ... See full document
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A Survey on Parallel Method for Rough Set using MapReduce Technique for Data Mining
... on Data mining, Data mining using Rough set theory and Data Mining using parallel method for rough set Approximation with MapReduce ... See full document
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Liquefaction Prediction Using Rough Set Theory
... on rough set data mining procedure is presented for liquefaction ...The rough set theory is a mathematical approach to the analysis of imperfect knowledge or unclear ... See full document
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A two level approach to discretize cosmetic data using Rough set theory
... of data in the cosmetic industry not only to analyze the problems of the customers but also to rejuvenate a new product basing on the customer ...problems. Data mining algorithms help us to extract ... See full document
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Data mining in the e-learning domain
... Data mining systems versus statistical analysis Data mining is an interdisciplinary field, the confluence of disciplines including database systems, statistics, machine learning, ... See full document
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An Innovative Approach for Attribute Reduction in Rough Set Theory
... The Rough Sets Theory is used in data mining with emphasis on the treatment of uncertain or va- gue ...this theory implicitly calculates reducts of the full set of ... See full document
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Title: A Survey on Particle Swarm Optimization and Rough Set Theory in Feature Selection for Heart Disease Prediction
... the data set is large and vague, the human error is inevitable because of stress or work ...imprecise data lead to exorbitant ...situation, Data Mining can be used as an intellectual ... See full document
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Indicator selection based on Rough Set Theory
... indicator selection is proposed in this ...Evaluation. Rough Set approach also has been applied in the Indicator Extraction ...steps: Data selection, Data Preprocessing, ... See full document
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Attribute Selection Methods in Rough Set Theory
... are 2 N subsets of attributes, and the exhaustive method is an NP-hard problem [5]. In practice, heuristic algorithms have to be considered. 1.4 Reduct algorithms Johnson’s algorithm is a simple greedy reduct ... See full document
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Using rough set through for classification of image segmentation data
... and data mining, it become necessary to adopt a new approach which classify segmented ...of data mining decision systems in order to improve their impact and help facilitate practitioners’ ... See full document
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Rough Set Based Opinion Mining in Tamil
... a rough set aided extractive summarizer with better information coverage, redundancy reducing and techniques involved in developing an automated system for mining opinions that are found in customer ... See full document
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Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods
... a learning task is to produce a function F (x) from a set of training examples (or objects) {x i , y i } N 1 that predicts accurately ...Condition attributes x refer, however, to the unit taken for ... See full document
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