[PDF] Top 20 A interação universidade empresa na UnB : um estudo de caso
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An Entropy-based Adaptive Genetic Algorithm Approach on Data Mining for Classification Problems
... a genetic algorithm approach for classification ...rate, entropy measure, rule consistency and hole ratio, respectively. Adaptive asymmetric mutation and two-point crossover are ... See full document
8
A Genetic Algorithm for Discovering Classification Rules in Data Mining
... for classification problems in machine learning and data ...induction algorithm but it improves ID3, as it handles continuous as well as missing data, and follows pruning strategies to ... See full document
161
Diabetes data prediction using data classification algorithm
... used genetic programming for classification ...the classification algorithms are compared by utilizing matrix and classification ...diabetes data for his effort and the decision tree ... See full document
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Adaptive Learning for Data Mining Classification
... The classification of algorithm for dataset Recommendation should be appropriate as it is very important and beneficial task but it goes through some ...different classification problem there is no ... See full document
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Bucketization based Flow Classification Algorithm for Data Stream Privacy Mining
... privacy-preserving data mining , an extensively utilized technique for attaining data mining objectives as protecting privacy is supported with on ...well-known data mining ... See full document
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A Genetic Algorithm Approach using Improved Fitness Function for Classification Rule Mining
... proposed Genetic algorithm can be used to find classification rules from classification ...proposed algorithm used different measures like precision, coverage, complexity and ... See full document
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Enhanced genetic algorithm-based back propagation neural network to diagnose conditions of multiple-bearing system
... developed based on empirical mode decomposition (EMD) and Hilbert Spectrum (Yu et ...the genetic algorithms (GA), Fuzzy logic and Artificial Neural Networks (ANNs) have also been used for condition ... See full document
5
An Enriched Frame Work for Auto Answering System for SMS using Fuzzy Classification
... mobile based portable solution for solving query of college ...systems based on campus services do not provide on demand query solutions of different departments to ...are based on some limited ... See full document
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Data mining for AMD screening: A classification based approach
... The comparison with respect to AMD screening reported in the foregoing section shows that the best classification performance was produced by the third approach, the Tree based representation. In ... See full document
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The study of sports industry competitiveness of six provinces in Central China based on entropy weight and TOPSIS integration
... However, this study also has shortcomings: (1) there are subjective factors in the process of research; (2) in the process of the selection of evaluation indexes, some evaluation indexes are ignored for the simplify the ... See full document
6
Evolving temporal association rules with genetic algorithms
... to mining temporal association rules rely on identifying all itemsets that frequently occur throughout the ...an approach that incorporates a genetic algorithm [14] to mine frequent itemsets ... See full document
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Design & Analysis of Purchasing Behaviour of Customers in Supermarkets using TRFM Model of Data Mining
... that classification phase occurs, in this phase classification is generated using demographic variables (sex, age, education ...rule mining phase comes, this phase is used to find out product ... See full document
67
Online Full Text
... of classification accuracy after applying the four feature selection ...selection algorithm proposed in this research work can improve the performance of accuracy on Ecoli, Breast Cancer, Heart, Zoo, and ... See full document
123
Pump scheduling optimization for water supply system using adaptive weighted sum genetic algorithm
... In Chapter 2, a brief introduction into the constituent components of the water supply system and their operation are made. The pump schedule as a problem of the water supply system is treated in details as well as a ... See full document
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Title: A NOVEL APPROACH FOR PREDICTING PHISHING WEBSITES USING THE MAPREDUCE FRAMEWORK
... Retrospective Data-Exploring Based on a Cloud Computing Platform", in Proceedings of IEEE- 20 th International Conference on Computer Communications and Networks, ...Assessment Based on Earth ... See full document
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Adaptive regression and model selection in data mining problems
... The logistic regression problem can be solved using BMARS algorithm with the linear least squares fit replaced with the procedure performing linear logistic regression procedure which es[r] ... See full document
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Mixture Model Clustering Using Variable Data Segmentation and Model Selection: A Case Study of Genetic Algorithm
... Galimberti and Soffritti [9] used model based clustering methods to identify multiple cluster structures in a multivariate data set. Durio and Isaia [10] developed a method for model selection in mixture of ... See full document
32
Volume 2, Issue 7, July 2013 Page 257
... Another is the cryptographic approach, e.g., secure multi-party computation(SMC),initially suggested by Yao in a 1982 paper [20]. In that publication, the millionaire problem was introduced: Alice and Bob are two ... See full document
8
The Use of Multi Objective Genetic Algorithm Based Approach to Create Ensemble of ANN for Intrusion Detection
... learning based intrusion detection ...type based upon training from label dataset. However, for ANN-based IDS, detection rate (DR) and false positive rate (FPR) are still needed to be ...ensemble ... See full document
21
A New Feature Selection Techniques Using Genetics Search and Random Search Approaches for Breast Cancer
... Data mining techniques and application are utilized in a wide range of fields, including banking, gregarious science, inculcation, business industries, bioinformatics, weather, forecasting healthcare and ... See full document
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