European Journal of Molecular & Clinical Medicine

The development of online transportation raises the question about the data processing of online application users. The data is passed on to the driver to run the service. Problems arise when the information is misused in violation of the law by drivers outside the context of providing services. This research aims to discuss online transportation application companies' responsibilities for the unauthorized use of user's data. This research is normative legal research. It uses secondary data. The study found that the application company should be responsible for ensuring the confidentiality of the data. Furthermore, the application company should share responsibility for the misuse of data obtained from the application enterprise.

Association rules consist of the discovery of association between mining transaction items. This is one of the most important information mining jobs. It has been integrated into many commercial data mining software and has a wide variety of applications on a number of domains. So, computing the prediction rules in top rank data set is very difficult task. Finding the pattern in large data set require memory computational power high rate of I/O. and it is possible only on high computational machine. In this paper, selection of parameter which is used to compute is chosen based on minimum support and minimum confidence value. In this paper proposed a new algorithm which generates the association rule for the input parameters to finding the pattern in large data set. The algorithm starts searching the rules. As soon as a rule is found, it is added to the list of order rules list by support. The list is used so far to maintain top N rules found. Once valid rules are found, the minimum support for the internal minsup variable list is raised to support the rule. When the Minsup value is raised, the search space is robbed while searching for more rules. Then, every time a valid rule is found, the list is inserted into the list, the lists that are not listed in the list are excluded from the list and the minsup is raised for the price of the least fun rules in the list. Result shows that new method is efficient technique to mine data set from standard data with minimum configuration system.