We introduce a technique called "min hashing," which compresses large sets in such a way that we can still deduce the similarity of the underlying sets from their compressed versions. Finally, we explore notions of "similarity" that are not expressible as intersection of sets. This study ...
The performance of sixth grade school students are taken for the analysis and present the results achieved with WEKA tool.S. PrabhaD. ShanavasS. Lakshmi Prabha and Dr.A.R.Mohamed Shanavas (2015) "Application of Educational Data mining techniques in e-Learning- A Case Study" , International ...
Based on the successive differences of Gompertz equation, control limit graphs are presented. The Gompertz equation values are taken as an input for Navie-Bayesian classifier on open source suite Weka tool and confusion matrix and other parameters are observed. 2017, Institute of Advanced Scientific ...
However, the datasets cannot be used in its original state as it contains several abbreviations and unstructured words, therefore, the dataset was pre-processed using WEKA programming tool so as to make spam detection effective. The dataset which was gotten in CSV file format was convert to ARFF...
packet inspection, i.e. using the first four bytes of application payload sent in each direction. The library provides a simple API that will enable programmers to develop their own tools that utilise application protocol information and we have also included some tools that can be used to ...
The performance of students on online course in digital electronics is taken for the analysis and results are achieved with WEKA tool.Ms. Ankita ChopraMs. Aakanksha Chopra
this is an weka tool source code implemented in java used in dm免费下载 资源简介:this is an weka tool source code implemented in java used in dm 标签:implementedsourcethiscode 上传时间:2017-03-09 上传用户:luke5347 this is an weka tool source code implemented in java in data mining purpose...
Machine learning feature selection was achieved by WEKA 3.8 software54, specifically employing the support vector machine algorithm to evaluate features’ contributions to the task of separating preclinical AD vs. control groups. Chromatographic peak areas of detected compounds were averaged across technical...
We used the Waikato Environment for Knowledge Analysis (WEKA) 3.6.14 package76; an open-source, Java-based framework to build classification models using different ML techniques. Three most popular machine learning classifiers namely; BayesNet60, RF59 and J4861 classifiers were used to build gene...
can better distinguish between control and cancer samples based on their intensities or mtFE scores, we performed bioinformatics studies using two widely-employed machine-learning (ML) algorithms— Naïve Bayes (NB)38 and Logistic Regression (LR)37—with the popular machine-learning platform WEKA58....