This paper aims at constructing the customer data warehouse which adopts an improved ID3 decision tree algorithm to implement data mining in order to predict the risk class of the customer. The obtained results are compared with experimental results in order to verify the validity and accuracy of the developed model.

This paper presents and compares two algorithms of machine learning from examples, ID3 and AQ, and one recent algorithm from the same class, called LEM2. All three algorithms are illustrated using the same example. Production rules induced by these algorithms from the well-known Small Soybean Database are presented. Finally, some advantages and disadvantages of these algorithms are shown.

BACKGROUND Iron nanoparticles (FeNPs) have attracted increasing attention over the past two decades owing to their promising application as biomedical agents. However, to ensure safe application, their potential nanotoxicity should be carefully and thoroughly evaluated. Studies on the effects of FeNPs on cells at the transcriptomic level will be helpful for identifying any potential nanotoxicit...

The main objective of higher education institutions is to provide quality education to its students. One way to achieve highest level of quality in higher education system is by discovering knowledge for prediction regarding enrolment of students in a particular course, alienation of traditional classroom teaching model, detection of unfair means used in online examination, detection of abnorma...

Acute kidney injury (AKI) results in microvascular damage that if not normally repaired, may lead to fibrosis. The Id1 and 3 proteins have a critical role in promoting angiogenesis during development, tumor growth and wound repair by functioning as dominant negative regulators of bHLH transcription factors. The goal of this study was to determine if Id proteins regulate microvascular repair and...

The cultivar and rootstock effect on iron chlorosis were studied. The results revealed significant differences among peach cultivars and rootstocks in mineral content. Seasonal changes were also found in the macroand micronutrient content of leaves of peach cultivars and rootstocks. The rootstock St. Julien 655/2 was found to be efficient in K, P, Zn, Fe, Cu absorption and better than seedling ...

In the era of information technology, work relies on technology to generate a huge amount data and information. Among them, financial universities is growing exponentially, manual method organizing extracting key can no longer meet requirements management universities. Taking higher education institutions as an example, it difficult grasp progress budget execution with frequent complicated dail...

In this paper, we address Privacy-preserving classification problem in a multi-party sense. We focus the general classification in a secured manner and introduce a Privacy-preserving decision tree classifier using C4.5 algorithm without involving third party. C4.5 algorithm is a software extension of the basic ID3 algorithm designed by Quinlan. Our protocol is considerably more efficient than a...

The goal of data mining is to extract the knowledge from data. It is also a form of knowledge discovery essential for solving problem in a specific domain. This paper presents a novel approach to data clustering and classification problem. Clustering analysis is distribution of data into groups of similar objects and Classification focuses the data on the class boundaries. This research explore...