[PDF] Top 20 Comparative Analysis of Classification Algorithms Using Weka
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Comparative Analysis of Classification Algorithms Using Weka
... different classification algorithms accomplishment for Chronic Kidney Disease ...done using criteria accuracy, correctly classified instances, incorrectly classified instances, error rate and ... See full document
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Evaluation of Classification Algorithms with Solutions to Class Imbalance Problem on Bank Marketing Dataset using WEKA
... mining. Classification algorithm predicts the categorical class label of a data instance, so as to classify it into one of the predetermined ...use WEKA for evaluation of various classification ... See full document
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Educational Mining: A Comparative Study of Classification Algorithms Using WEKA
... Knowledge Analysis (WEKA) where learning algorithms were available in various languages, for use on different platforms, and operated on a variety of data ...formats. WEKA would not only ... See full document
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Identifying Portuguese Multiword Expressions using Different Classification Algorithms A Comparative Analysis
... a comparative analysis based on different classification algorithms and tools for the identification of Portuguese multiword ...This analysis compares the performance of three different ... See full document
10
Classification Algorithms with Attribute Selection: an evaluation study using WEKA
... effective classification not all attributes are ...a comparative evaluation study of classification algorithms before and after attribute selection using Waikato Environment for ... See full document
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A Comparative Analysis of Classification Algorithms on Weather Dataset Using Data Mining Tool
... various classification algorithms using WEKA tool on weather ...various classification algorithms is ...dataset using j48 algorithm which classifies all the instances ... See full document
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A Comparative Analysis of Meta and Tree Classification Algorithms Using Weka
... in WEKA The experimental results of basic classifiers are discussed in this ...The classification accuracy of four algorithms AdaBoost, LogitBoost, AD Tree and NB Tree are observed from the Table 2 ... See full document
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Comparative Analysis of Classification Algorithms on Different Datasets using WEKA
... and classification is one of main problem in the field of data ...two classification algorithms J48 (which is java implementation of ...for classification of ...both algorithms we found ... See full document
5
COMPARATIVE ANALYSIS OF NAÏVE BAYES AND HILL CLIMBER SEARCH ALGORITHMS IN DATA MINING USING WEKA TOOL
... Data Mining is the process of extracting useful information from database after summarizing it. In medical area, data mining plays important role to discover new patterns to provide useful and meaning information. Now a ... See full document
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Comparative Analysis of Classification Algorithms for Student Performance
... semester. Classification techniques from Data mining were applied to develop the models like Naïve Bayes, Support Vector Machine (SMO) and K-nearest neighbors ...(IBK). Comparative analysis is ... See full document
5
Comparative Analysis of Various Clustering Algorithms Using WEKA
... of algorithms available for clustering. This paper presents a comparative analysis of various clustering ...of algorithms is evaluated by comparing the results on 6 datasets from the UCI and ... See full document
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A Comparative Performance Analysis of Classification Algorithms Using Weka Tool Of Data Mining Techniques
... and using it for categorical variables (Nisbet, 2009) is known as classification ...[1]. Classification is divided into two types one is supervised and ...of analysis. In data ... See full document
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Algorithm Tuning from Comparative Analysis of Classification Algorithms
... Logistic Regression(LR): Linear regression can easily be used for classification in domains with numeric attributes. Indeed, we can use any regression technique, whether linear or nonlinear, for ... See full document
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Comparative Analysis of Various Tools for Data Mining and Big Data Mining
... A comparative analysis of data mining tools and to observe their behavior based on some selected parameters which will further be helpful to find the most appropriate tool for the given data set and the ... See full document
5
Comparative Study of Clustering Algorithms: Filtered Clustering and K-Means Cluttering Algorithm Using WEKA
... of algorithms available for clustering. This paper presents a comparative analysis of various clustering ...of algorithms is evaluated by comparing the results on 2 datasets from the UCI ... See full document
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Title: Crime Analysis for Multistate Network using Naive Bayes Classifier
... all algorithms, best results were provided by the association ...called WEKA had been utilized in this study using which a comparative analysis of patterns of violent crimes was ... See full document
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Comparative Study and Analysis of Classification Algorithms In Data Mining Using Diabetic Dataset
... education using data classification and decision tree approach from a community college database and various classification approaches have been performed by comparative ...The ... See full document
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Application of Data Mining Technique for Wheat Crop Yield Forecasting for Districts of Gujarat State
... Different classification algorithms applied on weather data using the training set and test set and cross validation options of ...in WEKA are calculated to be trained to forecast a single ... See full document
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Comparative and Analysis Study for Malicious Executable by Using Various Classification Algorithms
... achieved. Algorithms regarding machine learning, some representation techniques, and desired features selection were evaluated and ...these classification algorithms (SVM, KNN, Random Forest, ... See full document
9
Hand Gesture Classification Using Different Classifiers With Weka
... etc., Weka is a free set of software for machine learning, containing a collection of visualization tools and algorithms for data analysis and predictive modeling, together with graphical user ... See full document
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