文章基本信息

标题：Enhance Decision Tree Techniques on Mobile Environment in Data Mining
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作者：Parminder Singh ; Amarjit Kaur
期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2017
卷号：7
期号：2
页码：22-24
出版社：International Journal of Soft Computing & Engineering
摘要：There are several techniques that are used in data mining, each one having advantages but also disadvantages. To find out which one is most appropriate for our case, when we want to use our databases in a decision-make process we need to have information about our data business and data mining techniques. Alternatively we can try them all and find out which one is the best in our case. This research is based on the findings maximum use of mobile service. The results in this report are based on data from mobile service related. As we look at Data Mining tools, we see that there are different algorithms used for creating a decision making (or predictive analysis) system. There are algorithms for creating decision trees such as ID3 and CART along with algorithms for determining known nearest neighbor or clustering when working on classification. The goal of this research is to look at one particular decision tree algorithm called enhanced algorithm and how it can be used with data mining for mobile service. The purpose is to manipulate vast amounts of data and transform it into information that can be used to make a decision.
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