[PDF] Top 20 STUDY ON DECISION TREE COMPETENT DATA CLASSIFICATION
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STUDY ON DECISION TREE COMPETENT DATA CLASSIFICATION
... like tree structure, where each internal node denotes a test on an attribute, each branch denotes an outcome of test, and each leaf node holds a class ...a tree is the root node ...tuple. Decision ... See full document
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A Comparative study of Data stream classification using Decision tree and Novel class Detection Techniques
... of data stream is first check by primary ensemble if it is outlier called it primary outlier (P-outlier) than again check through auxiliary ensemble if it is outlier than called secondary outlier(S-outlier), and ... See full document
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An Efficient Mining Algorithm for Determining Related Item Sets using Classification and Association Rules
... days, data mining is the advanced research area because it is one of the important step in the knowledge discovery ...experimental study of finding the frequent item sets by classifying the data base ... See full document
6
Predicting and Analysis of Student Performance Using Decision Tree Technique
... Analyzes data mining methods and techniques students’ data to construct a predictive model for students’ academic ...Technically, data mining is the process of finding correlations or patterns among ... See full document
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A Data Mining System for Predicting University Students’ Graduation Grades Using ID3 Decision Tree Algorithm
... websites. Data Mining discovers relationships among attributes in data set, producing conditional statements concerning ...attribute-values. Classification is one of the most commonly applied ... See full document
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Comparative Analysis of Classification Techniques in Data Mining Using Different Datasets
... from data. Data mining has some tasks such as association rule mining, classification and prediction, and ...these classification techniques are supervised learning techniques to classify ... See full document
10
Decision Tree Clustering and Classification Based One-To-Many Data Linkage
... ABSTRACT: Data has its own place and its own value to a valued customer and makes to for strategic decision ...level decision management system in the perspective of the mining the information which ... See full document
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A Survey on Decision Tree Algorithm for Classification
... CART: Classification and regression tree (CART) proposed by Breiman et ...non-parametric decision tree learning technique that produces either classification or regression trees, ... See full document
5
Prediction of Skin Disease using Decision Tree and Artificial Neural Network (ANN)
... this study provides a comparative evaluation on two data mining classification techniques; Decision Tree and Multi-layer Neural Network apply for the prediction of skin ...WEKA ... See full document
5
Decision tree classification model for land use and land cover mapping a case study
... Decision tree classifier, a machine learning algorithm, is a knowledge based data mining ...the decision rules are defined by a combination of several features, and a set of linear ... See full document
5
A survey on utilization of data mining approaches for dermatological (skin) diseases prediction
... this study, it is focusing on the relationships of the symptoms and disorders to find important factors and rules that affect skin ...includes data collection and pre-processing, producing training ... See full document
12
A New Approach to Classify Tuples More Accurately
... Classification is a classic data mining technique based on machine ...Basically classification is used to classify each item in a set of data into one of predefined set of classes or ... See full document
5
Framework of Classification Algorithms
... Since data uncertainty is ubiquitous, it is important to develop data mining algorithms for uncertain ...rule-based classification algorithm for data with ...Rule-based data mining ... See full document
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... other data mining ...analyze data. Regression analysis, is that they can fit data where the relation between independent and dependent variables is non-linear and where the specific form of the ... See full document
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REVIEW ON TEXT CLASSIFICATION USING DIFFERENT CLASSIFICATION TECHNIQUES
... proper classification of large amount of information present over the internet is very critical step towards the business due to the explosive growth of the textual information day by day from the electronic ... See full document
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II. DECISION TREE CLASSIFICATION
... current study we introduce a new self-determined approach which has not only a suitable accuracy, but also a small-size tree which is constructed in a short time, using a small amount of ...this ... See full document
5
Identification of Models Decision Tree and Random Forest Classifier using Rattle on Diabetes Disease
... KNN, Decision tree, Naive Bayes, the classification and clustering is used for the diabetes disease and extract pattern from the given data and prediction ... See full document
5
A Novel Approach for the Classification of Social Media Data using Decision Tree
... of data. The proposed system performs the qualitative analysis of data using classification algorithm instead of sentiment ...twitter data as per the geo location, keyword and search id ... See full document
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Title: DATA MINING TO ELICIT PREDOMINANT FACTORS CAUSING INFERTILITY IN WOMEN
... time. Data mining and statistical analysis go hand in hand in identifying these factors from a clinical database containing primary data pertaining to significant factors relating to fertility/infertility ... See full document
5
Performance Analysis on Uncertain Data using Decision Tree
... The data mining is very effective tool for extracting knowledge from historical ...three data mining techniques the Naive Bayes, the neural network and the decision tree algorithms and ... See full document
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