This main goal of this study is to predict the WQI of the Talar River in Iran using four standalone M5P RF RT REPT and 12 novel hybrid datamining algorithms bagging CV parameter selection and randomizable filtered classifier which are integrated with the four standalone algorithms
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Apr 18 2015 · In this paper several data mining methods and algorithms have been used and applied to a set of screening data for type 2 diabetes in Tabriz Iran The performance of methods such as support vector machine artificial neural network decision tree nearest neighbors and Bayesian network has been compared in an effort to find the best
models by five algorithms including decision tree neural network support vector machine and knearest neighborhood developed and validated 21 C50 Algorithm C50 algorithm developed from C45 algorithm is one of the most important and widely used algorithms in data mining C45 itself is the extended form of ID3 algorithm
The purpose of a prediction algorithm is to forecast future values based on our present records 3 Some common tools for prediction include neural networks regression Support Vector Machine SVM and discriminant analysis Recently data mining techniques such as neural networks fuzzy logic systems genetic algorithms and
Nov 19 2012 · Combining the tectonic and economic evidences available it can be deduced that all the areas of the country have been developed under the influence of Alpine orogeny and therefore it is possible to classify various rocks and their associated mineral deposits into a number of metallogenic divisions based on the developmental stage of this orogeny
کتاب داده کاوی برای برنامه نویسان – A Programmer’s Guide to Data Mining کتاب Understanding Machine Learning From Theory to Algorithms منتشر شده توسط Iran Machine Learning20190520
Clustering or cluster analysis is an unsupervised learning problem It is often used as a data analysis technique for discovering interesting patterns in data such as groups of customers based on their behavior There are many clustering algorithms to choose from and no single best clustering algorithm for all cases Instead it is a good idea to explore a range of clustering
Feb 23 2013 · In Iran Based on researches In another study of a mining algorithm classification rules were used to analyze data from stroke patients The NGTS New GeneralToSpecific algorithm which is a sequential covering algorithm for extracting classification rules has been applied for 162 specimens Hippe ZS A new machine learning tool
Jul 03 2019 · Hobby Bitcoin mining can still be fun and even profitable if you have cheap electricity and get the best and most efficient Bitcoin mining hardware Bitcoin mining is competitive It’s not ideal for the average person to mine since China’s cheap electricity has allowed it to dominate the mining market