Titlebook: Intelligent Engineering Informatics; Proceedings of the 6 Vikrant Bhateja,Carlos A. Coello Coello,Prasant Ku Conference proceedings 2018 Sp

surmount

GA_DTNB: A Hybrid Classifier for Medical Data Diagnosis,eal-world medical domain data sets are selected from University of California, Irvine (UCI) machine learning repository, for conducting the experiment. The experimental results demonstrate that GA-based DTNB is an effective hybrid model in undertaking medical data prediction.

Neutral-Spine

SVM Based Method for Identification and Recognition of Faces by Using Feature Distances, of the presented person with the features that were used to train the SVM. The closest match results in identification. The Minimum Distance Classifier has been used to recognize a person uniquely using this SVM.

兇猛

Kernel-Based Naive Bayes Classifier for Medical Predictions,ease. With the medical diagnosis prediction, the aim is to enable the physician to report the disease, which might be true. The input training dataset for the classifier was taken from a government hospital.

膠狀

,AKM—Augmentation of K-Means Clustering Algorithm for Big Data,of K-Means clustering algorithm and reduction of time complexity of genetic K-Means algorithm for big data. Proposed algorithm is not dealing with the selection of parents to be sent to mating pool and mutation steps, so the performance time is improved.

競選運動

Small-Intestine

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Application of TF-IDF Feature for Categorizing Documents of Online Bangla Web Text Corpus,fication and validation, Bangla text documents that are obtained from various online Web sources are normalized and used as inputs for the experiment. The experimental results show that the feature extraction method along with LIBLINEAR classification model can generate quite satisfactory performanc

receptors

Gullible

Gender Prediction in Author Profiling Using ReliefF Feature Selection Algorithm,dentify the important features in the feature set. The experimentation carried on reviews domain for predicting gender by using various combinations of stylistic features. The experimental results show that the set of features identified by the ReliefF feature selection algorithm obtained good accur

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