[PDF] Top 20 Efficient and Dynamic Bug Report Prediction Using Mining Techniques
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Efficient and Dynamic Bug Report Prediction Using Mining Techniques
... classification techniques to build a statistical model from the natural-language description of historical bug reports, to predict whether a newly submitted bug report is a configuration ... See full document
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Cardiovascular Disease Prediction Using Data Mining Techniques: A Review
... different techniques to predict the prevalence of cardiovascular diseases in general and heart disease in particular from time to time by implementing variety of ...by using computer based predictive tool ... See full document
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Prediction of Heart Diseases using Data Mining Techniques
... Naïve Bayes Rule is the basis for many machine-learning and data mining methods. The rule (algorithm) is used to create models with predictive capabilities. It provides new ways of exploring and understanding ... See full document
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Comparative Overview of the Advantages and Shortcomings of Popular Data Mining Techniques Used In Weather Prediction
... data mining techniques can be applied in this ...developed efficient and precise methods to collect meteorological data, observational records, historical data, radar and satellite data and such ... See full document
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A Review on Prediction of Academic Performance of Students at-Risk Using Data Mining Techniques
... data mining is the procedure of converting raw data collected from educational databases into some useful ...performance prediction of students in academics, factors that affect the students’ performance, ... See full document
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Implementing Bug Severity Prediction through Information Mining Using KNN Classifier
... of bug reports are reported in bug tracking system by users in open software system that is encountered while operating the ...bugs. Bug severity is one of the important factors which can be used to ... See full document
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A REVIEW ON SOFTWARE DEFECT PREDICTION USING DATA MINING TECHNIQUES
... Software bug is a major problem arises in the coding ...defect prediction has been one of the key areas of exploration in the domain of software ...data. Using data mining techniques, ... See full document
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Efficient Approach of Data Reduction Techniques for Bug Triaging System
... Data mining technology is used in software development process can not only increases the accuracy and completeness of software development but also increases the reliability of the ...as bug reports or ... See full document
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Comparison of Different Navigation Prediction Techniques
... web mining which is used for prediction and management of website ...Navigation Prediction Techniques need not only consider the frequency of click behavior but also web site structure to mine ... See full document
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Implementation of an Efficient and Accurate Software Bug Prediction System
... module prediction. In this model a set of rules is constructed using Fuzzy logic and support ...fault prediction model, another paper [4] discusses a new model towards reliability and quality ... See full document
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Finding kernel function for stock market prediction with support vector regression
... by using different data segments and different time ...some techniques comparison will be stated and the performance between SVM (Radial Basis Function and Polynomial kernel) and BP network will be ... See full document
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A Maintenance Prediction System using Data Mining Techniques
... This activity will generate new knowledge that will feed of activity A3. A3 will use the resources of the A1 activity to send alerts that consists in proactive failures notifications. This output function aims to advise ... See full document
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Volume 3, Issue 4, April 2014 Page 1
... a Dynamic Association Rule Mining approach. We also proposed dynamic FP-growth ...data mining process on data updates during a current episode and uses that knowledge captured in the previous ... See full document
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Early Prediction of Heart Diseases Using Data Mining Techniques
... data mining. As in the sets of computer instructions of data mining, the classification is an extremely important step, using an information theoretic measure in ID3 set of computer instructions, one ... See full document
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Service oriented supply and demand network of enterprises
... The finiteness and paid use for resource, make it become possible that by cooperating among enterprise to get the overall benefit maximization. Cooperation lowered the operation cost and promoted the competitiveness of ... See full document
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An Enhanced K-Means Algorithm For Classification Of Cardiac Disease
... an efficient heart attack prediction system with Patient Prescription Support using the web mining and data warehouse ...and techniques are to be developed which overcome the drawbacks ... See full document
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IJCSMC, Vol. 6, Issue. 8, August 2017, pg.40 – 48 AN EFFICIENT CLASSIFIER FOR BRAIN TUMOR CLASSIFICATION
... Feature extraction is the process of transforming an image into its set of features. They are obtained from color, texture and shape. Good features should have Informativeness/Distinctiveness, Locality, Accuracy, and ... See full document
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Review- Influencing the heart disease using assortment of data mining tools and techniques
... Data Mining technique in healthcare prefecture, amid a highlight on the demand and the methods used which will provide the optimal ...data mining methods for the psychiatry and calculation of a assortment ... See full document
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Classification Utility & Procedures for Recognition of Heart Disease: A Review
... data mining includes anticipating the patient's behaviour from the given ...data mining is helpful to find out relationships between features and hidden knowledge within the medical ...for efficient ... See full document
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A Novel Hybrid Approach for Fast Block Based Motion Estimation
... process in local minima as they use a fixed pattern for search. Adaptive rood pattern search [6] found a way out to this complication by using other search patterns in accordance with the estimated behavior of the ... See full document
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