[PDF] Top 20 Comparative Analysis of Classification Algorithms on Different Datasets using WEKA
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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 ...the datasets. The datasets have been chosen from ... See full document
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Comparative Analysis of Classification Algorithms Using Weka
... work different types of classification algorithms accuracies are calculated which are widely used to draw the significant amount of data from the huge amount of raw ...data. Comparative ... See full document
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A Comparative Analysis of Meta and Tree Classification Algorithms Using Weka
... document classification, natural language ...management. Classification is one of the main tasks in document ...two algorithms in Meta classifier namely LogitBoost and ...three algorithms ... See full document
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Comparative Analysis of Classification Techniques in Data Mining Using Different Datasets
... Knowledge Analysis) is a popular set of machine learning algorithms developed at the University of Waikato, New Zealand, for solving real-world data mining problems ...pre-processing, classification, ... See full document
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A Comparative Analysis of Classification Algorithms on Weather Dataset Using Data Mining Tool
... The tool we used for the result analysis is WEKA which consists of large number of open source machine learning algorithms. It takes the input in the form of ARFF (Attribute Relation File ... See full document
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Educational Mining: A Comparative Study of Classification Algorithms Using WEKA
... data. Classification is one of the techniques in data mining which will be used to predict the target attribute accurately from the knowledge it gained from the training ...the comparative analysis ... See full document
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A Comparative Performance Analysis of Classification Algorithms Using Weka Tool Of Data Mining Techniques
... Zealand. Weka is open source tool and freely available. Weka tool is mainly used to analyze the data mining ...algorithm. Weka tool provides many algorithms for data mining and machine ... See full document
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Analysis Of Classification Method “Vfi” From Weka By Using Different Test Mode
... The Weka workbench is a collection of state-of-the-art machine learning algorithms and data pre processing ...new datasets in flexible ...learning algorithms, it includes a wide range of pre ... See full document
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Supervised DNA Barcodes species classification: analysis, comparisons and results
... Species classification with DNA Barcode sequences has been proven effective on different ...The classification problem assigns an unknown specimen to a known species by analyzing its ...The ... See full document
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Classification of Hematological Data Using Data Mining Technique to Predict Diseases
... of different classification techniques using WEKA (Waikato Environment for knowledge analysis) for blood-related data is a demanding task in medical science ...better ... See full document
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A Comparative Study of clustering algorithms Using weka tools
... correlation, classification and prediction, cluster analysis, outlier analysis and evolution analysis ...regression, classification and ...into different clusters. I am ... See full document
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A Comparative Research of Rule based Classification on Dataset using WEKA TOOL
... and using in data mining projects recently including classification, clustering, prediction, sequential patterns and decision ...tree. Classification is a major technique in data mining and widely ... See full document
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Human Activity Recognition through Accelerometer Sensor Using Data Mining
... knowledge analysis (weka) [7] software is used to calculate the error rate, classification instances and time taken to execute the classification of five algorithms like J48, Naïve ... See full document
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Identifying Portuguese Multiword Expressions using Different Classification Algorithms A Comparative Analysis
... Antunes and Mendes (2013) propose the creation of a MWE typology that includes its semantic, syntactic and pragmatic properties, aiming the annotation of a MWE lexicon using this typology information. They divide ... See full document
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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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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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Performance Analysis of various classifiers using Benchmark Datasets in Weka tools
... These machine learning techniques run various algorithms to detect intrusions in the network packets. In [8], authors described about the features of KDD Cup 99 dataset and also described the traffic data it ... See full document
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Comparative Analysis of Various Clustering Algorithms Using WEKA
... for classification or untick these attribute before classification in ...that Weka also provides access to SQL databases using Java Database Connectivity and can process the result returned by ... See full document
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Comparative Study for Text Document Classification Using Different Machine Learning Algorithms
... by using one of the supervise machine learning algorithm and then applied trained model to predict the label of the unknown ...document classification consists of: input text document, pre-processing, ... See full document
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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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