Research on Data Currency Rule and Quality Evaluation

Data currency is a temporal reference of data, it reflects the degree to which the data is current with the worldit models. Currency rule is a formal rule extracted from the data set and reflecting the currency order of thedata tuples, it can be used for both data repairing and currency quality evaluation. Based on the research of datacurrency repairing, the basic form of currency rule is extended, and parallel rule extraction and update algorithmsare proposed to meet the requirement of running on dynamic data sets. Besides, four data currency qualityevaluation models are proposed and verified by experiments. The performance test show that the efficiencyof parallel algorithms is significantly improved, the rules compliance mean(CM2) model based on extendedcurrency rule has the highest average precision. The extended currency rules not only improve the efficiencyand adaptability, but also provide more valuable features for data quality evaluation.

A Cost-Based Model for Data Repairing/in Cloud Database

Trustworthiness vital based information fixing is an iterative method comprising of two sections: become aware of and bunch errors that damage given uprightness requirements (ICs); and alternate esteems internal every accumulating with the quit purpose that the altered database fulfills the ones ICs. Be that as it is able to, maximum existing programmed arrangements deal with the manner towards identifying and gathering blunders direct (e.G., infringement of utilitarian situations using string uniformity), whilst putting greater consideration on heuristics of converting traits interior each gathering. In this paper, we advise a reexamined semantics of infringement and data consistency w.R.T. A variety of ICs. The amended semantics depends on string likenesses, rather than commonplace techniques that usage syntactic mistake identity using string equity. Alongside the changed semantics, we likewise advise another price model to degree the expense of facts restore by thinking about separations between strings. We display that the modified semantics gives a large trade to better distinguishing and collecting mistakes, which accordingly improves both exactness and overview of the accompanying records solving step. We reveal that discovering least value fixes within the new version is NP-difficult, in any event, for a solitary FD. We devise gifted calculations to find out surmised fixes. Likewise, we create documents and streamlining techniques to improve the proficiency. Examinations show that our methodology altogether beats existing programmed restoration calculations in both accuracy and assessment.

Pembuatan Program Aplikasi Laporan Perawatan Korektif Laboratorium Pemesinan Polman Babel

Politeknik Manufaktur Negeri Bangka Belitung is university that provide education and training in the field of engineering where there are machinery and equipment as a means of learning. The good maintenance of machine and equipment is the most important to support the learning activities. However the bad maintenance will cause disadventages for company benefit. During this time corrective maintenance is handled in a manual that is recorded in books that causes data repairing of machine is not documented well. Based on this improvement and maintenance of existing system development should be pursued in order to improve the administration system of care maintenance. The system design is oriented for creation of database applications that are expected to solve the problem.