Enhance Decision Tree Techniques on Mobile Environment in Data Mining
Parminder Singh1, Amarjit Kaur2
1Er. Parminder Singh, Assistant Professor & Head, Department of Computer Science and Engineering, Ramgarhia Institute of Engineering & Technology, Phagwara (Punjab), India.
2Er. Amarjit Kaur, M.Tech Scholar, Department of Computer Science and Engineering, Ramgarhia Institute of Engineering & Technology, Phagwara (Punjab), India.
Manuscript received on April 22, 2017. | Revised Manuscript received on April 29, 2017. | Manuscript published on March 05, 2017. | PP: 22-24 | Volume-7 Issue-2, May 2017. | Retrieval Number: B2986057217/2017©BEIESP
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©The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract: 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.
Keywords: Techniques, advantages, appropriate (or predictive analysis), CART, ID3, Alternatively.