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Flight parameters record the flight state and performance of the each flight phase. The precise division of the aircraft flight process using flight parameters can not only perform the stage quality evaluation of the whole flight process, but also can detect the aircraft faults. In this paper, the decision tree classifier is used to divide the flight parameters. The parameter reduction is carried...
Nowadays there are many risks related to bank loans, especially for the banks so as to reduce their capital loss. The analysis of risks and assessment of default becomes crucial thereafter. Banks hold huge volumes of customer behaviour related data from which they are unable to arrive at a judgement if an applicant can be defaulter or not. Data Mining is a promising area of data analysis which aims...
Selection and use of pattern recognition algorithms is application dependent. In this work, we explored the use of several ensembles of weak classifiers to classify signals captured from a wearable sensor system to detect food intake based on chewing. Three sensor signals (Piezoelectric sensor, accelerometer, and hand to mouth gesture) were collected from 12 subjects in free-living conditions for...
Intrusion Detection System have been successful to prevent attacks on network resources, but the problem is that they are not adaptable in cases where new attacks are made i.e. they need human intervention for investigating new attacks. This paper proposes the creation of predictive intrusion detection model that is based on usage of classification techniques such as decision tree and Bayesian techniques...
Classification of items (i.e. students, genes, etc.) on data sources provided by various software systems represents an important task that needs to be performed for many reasons related to the business goals of the system. This paper presents several approaches that need to be taken into consideration by a data analysis system designer who aims to obtain an advanced classifier that implements several...
Data mining is a process of inferring knowledge from such huge data. Data Mining has three major components Clustering or Classification, Association Rules and Sequence Analysis. By simple definition, in classification/clustering analyze a set of data and generate a set of grouping rules which can be used to classify future data. Data mining is the process is to extract information from a data set...
During several table tennis matches, the prediction of outcomes is of a major interest to coaches to arrange suitable and effective trainings. The purpose of this investigation is to propose a new approach of combination to predict the outcome of matches. The artificial neural network (ANN)is capable of efficient data fitting, as the decision tree is capable of data reduction and classification. We...
In this paper, taking the decision attributes, including order number, product number, manhour and comprehensive evaluation into account, the decision tree model of discrete production and manufacture has been presented. And C4.5 algorithm has been used to construct the decision tree recursively in a topdown manner, in which the topmost node is the root node, each internal node denotes an attribute...
In view of the high operation cost of Gini index for SLIQ algorithm while searching the optimal split scheme, and from the objective distribution of data, the thesis introduces the concept of density of data distribution. The new SLIQ algorithm, improved on the base of Gini index, is adopted in synthetic evaluation. The results in the example demonstrate that the number of the Gini index is reduced...
The development of credit scoring model has been regarded as a critical topic. This study proposed four approaches combining with the KNN (K-nearest neighbor) classifier for features selection that retains sufficient information for classification purpose. Two UCI data sets and different models combined with KNN classifier were constructed by selecting features. KNN classifier combines with conventional...
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