[PDF] Top 20 A Survey on Comparative Study of Decision Tree Methods in Data Mining
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A Survey on Comparative Study of Decision Tree Methods in Data Mining
... Data mining is a process used to turn noisy raw data into useful ...data. Data mining is based on effective collection of data warehousing and computer ...processing. ... See full document
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Application of Decision Tree Algorithm for Data Mining in Healthcare Operations: A Case Study
... large data warehouses [7]. The goals of data mining divide it into two general types as predictive and descriptive ...Predictive data mining methods may be applied to the ... See full document
6
Prediction of heart disease using data mining techniques: A Case study
... Data mining is the process of rearranging through large datasets to identify patterns and establish relationships between them to solve problems through data ...analysis. Data mining ... See full document
13
Predicting and Analysis of Students’ Academic Performance using Data Mining Techniques
... create decision trees using top down, bottom up, and greedy search ...a study in educational systems using data mining ...the data by the students at the admission time. Data ... See full document
6
A Survey based Research for Data Mining Techniques to Forecast Water Demand in Irrigation
... that data mining can play an effective role to address this ...literature survey, we have identified the application of data mining in this field through decision tree ... See full document
5
Data mining approach for predicting the daily Internet data traffic of a smart university
... this study, an extensive analysis was carried out on the daily internet traffic data generated from January to December, 2017 in a smart university in ...traffic data. The data mining ... See full document
23
Assessment of Decision Tree Algorithms on Student’s Recital
... a decision tree model to predict loyal student to increase educational ...that data mining is a powerful technology which can be used to predict faithful students with 90% ...common ... See full document
7
Health Prediction System by using Data Mining
... develop data mining algorithms for predicting survival of CHD patients based on 1000 cases ...the data, we employed three popular data mining algorithms to develop the prediction models ... See full document
5
DATA MINING FOR BOX COMPRESSION TEST RESULTS CLASSIFICATION USING DECISION TREE METHODS
... Data mining [8] is a step in process (KDD), a new technology that is very useful to help companies find very important information from their data ...warehouse. Data mining can answer ... See full document
5
A Comparative study on data mining clustering...
... the data such that there is a higher intra-cluster similarity and lower inter-cluster ...the tree structure to group the data in the form of ...the data recursively and generating clusters by ... See full document
5
A Comparative Study of Classification Techniques in Data Mining Algorithms
... of decision boundaries also known as hyperplane that produce the optimal separation of classes ...The data analysis in SVM is based on convex quadratic programming, and it is computationally expensive, as ... See full document
7
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 making using Multi Inference-LDA Algorithm
... topic mining and classification consists of term extraction, dimensionality reduction, and feature-selection and so ...these, data sets can be trained and the classification model can be created based on ... See full document
5
Analysis Comparison of The Classification Data Mining Method to Predictthe Decisions of Potential Customer Insurance
... good data, good data plays a major role for a customer to follow or take products offered by the ...the data mining process that will be the basis of whether the customer has the potential to ... See full document
6
Detection and Analysis of Crime Patterns using Apriori Algorithm
... during survey were: “Z-crime: A data mining tool for the detection of suspicious criminal activities based on decision tree” [1], “Association bundle- a new pattern for association ... See full document
5
Survey on data mining methods and applications in healthcare domain sector
... standard data mining is concerned mostly with describing but not explaining the patterns and ...a data mining experiment may either raise an anthrax alarm when there is only a flu ...the ... See full document
5
Tracking and Monitoring E mail Traffic Activities of Criminal and Terrorist Organisations Using Visualisation Tools
... In defensive information operations, knowing about the actions or behaviour of the adversary is important for countering any attacks posed by the adversary. Obtaining information about the activities and behaviour of ... See full document
13
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... The process of predicting student performance has become a crucial factor in academic environment and plays significant role in producing quality graduates. Several statistical and machine learning algorithms have been ... See full document
5
EDM: An analysis of learner’s academics performance based on Frequent Pattern Tree Algorithm
... examination data to predict their performance in the final ...the decision tree predicts the number of learners who are likely to fail or ...of data mining contributes advantageous for ... See full document
5
Decision tree Classification and Model Evaluation for Breast Cancer Survivability: A Data Mining Approach
... categorical and discretized targets and it uses multi- way splits; it means that the current node is split into more than two nodes by default. The CHAID is a form of analysis that determines how variables explain the ... See full document
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