This paper presents the application of classification technique of data mining used for the Employee Management System (EMS). This paper discusses the classification techniques of data mining and based on the data, the process of Knowledge Discovery in Databases (KDD) is reformed for classifying ...
Mining Abnormal Patterns in Moving Target Trajectories Based on Multi-Attribute Classification As a type of time series data, trajectory data objectively record the location information and corresponding time information of an object's activities. It not only describes the spatial activity trajectory of ...
This paper presents a review of — and classification scheme for — the literature on the application of data mining techniques for the detection of financial fraud. Although financial fraud detection (FFD) is an emerging topic of great importance, a comprehensive literature review of the subject ...
This paper presents a review of 鈥 and classification scheme for 鈥 the literature on the application of data mining techniques for the detection of financ... EWT Ngai,Y Hu,YH Wong,... - 《Decision Support Systems》 被引量: 497发表: 2011年 Mining distance-based outliers from large database...
Data Mining Applied to the Electric Power Industry: Classification of Short-Circuit Faults in Transmission Lines Data mining can play a fundamental role in modern power systems. However, the companies in this area still face several difficulties to benefit from data m... Y Pires,J Morais,C Card...
CRISP-DM Cross Industry Standard Process for Data mining is a data mining methodology to be used by the research. Classification and prediction data mining functionalities are used to extract hidden patterns from students data. These patterns can be seen in relation to different variables in the ...
(CRM),excavate the basis and information of customer classification from massive uncertain customer information and provides important support for enterprises decisions.By reviewing and summarizing the research achievement of domestic and abroad,the shortage in the application of DM in CRM under e-...
Text data mining is a process of exploratory data analysis. Classification maps data into predefined groups or classes. It is often referred to as supervised learning because the classes are determined before examining the data. This paper describes proposed radial basis function Classifier that perform...
Data Mining Applied to the Electric Power Industry: Classification of Short-Circuit Faults in Transmission Lines Data mining can play a fundamental role in modern power systems. However, the companies in this area still face several difficulties to benefit from data m... Y Pires,J Morais,C Card...
The classification algorithm based on Hadoop platform uses the naive Bayes algorithm to implement the data mining process. The experimental results show that it is fully adapted to the number of large data environment. According to the processing,the time is saved and the running efficiency of the...