The uses of Telecoms and IT technology change the daily life of million Africans. Our researches focus on tracking, monitoring and safety of the small traditional pirogue used by fisherman, alongside with allowing better ocean resources management. Using mobile technology for data transfer network and low-cost embedded device; we propose a solution model for developing the efficiency of the sea activities, optimizing the distribution of natural resource, and increasing security.
: Association rules are a data mining technique used to discover frequent patterns in a data set. In this work, association rules are used in the medical domain, where data sets are generally high dimensional. The chief disadvantage of mining association rules in a high dimensional data set is the huge number of patterns that are discovered, most of which are irrelevant or redundant. This disadvantage is grown when Big data is used. The multidimensional view of the data is well used for data visualization and analysis tasks, but due to the hypercube dissipation, the amount of data, in this case, is greater than the relational representation that is not acceptable to the Big Data. Object representation allows you to store an object in the form of attributes, their characteristics, and relationships between characteristics. For some modification, it can be used for Big Data. In medical and biological research, as well as in practical medicine, the range of tasks to be solved is so wide that it is possible to use any of the methodologies of Data Mining. An example can be the construction of a diagnostic system or the study of the effectiveness of a surgical intervention.
The paper presents the architecture of the platform for Big data preprocessing and processing. The method for prevention of the risk disease based on Probabilistic Production Dependencies is developed. The investigation is started from the platform for Big data in medical domain analysis. The platform consists of 6 layers: Data layer, Communication layers, Preprocessing layer, Data processing layer, User layer, Integrational layer. The platform architecture for Big data processing in medical sector is developed. The accuracy of the proposed method is estimated.
