A survey of predictive analytics using big data with data mining
A survey of predictive analytics using big data with data mining S. Poornima; M. Pushpalatha International Journal of Bioinformatics Research and Applications, Vol. 14, No. 3 (2018) pp. 269 - 282 Today, the world is filled with data like Oxygen. The amount of data being harvested and eaten up is flourishing vigorously in the digital world. The growing exploitation of novel inventions and social media leads to the generation of huge quantities of data called Big data which can bring remarkable information if analysed properly. Organizations may undergo for analysis of big data to having better decisions, thus big data analytics is being paid attention in recent times. For finding the concealed values from big data, society requires new schemes or strategies. Predictive analytics comprises of several statistical and analytical techniques for developing novel strategies for the future possibilities of prediction. Therefore, Predictive analytics becomes vital when an essential quantity of highly sensitive data has to be handled. Based on the perceived events, future probabilities and measures are predicted. With the aid of available data mining techniques, predictive analytics predicts the events in future and can make recommendations called prescriptive analytics. This review paper gives clear idea to apply data mining techniques and predictive analytics on different medical dataset to predict various diseases with accuracy levels, pros and cons, that concludes about the issues of those algorithms and futuristic approaches on big data.
Preselection via classification: a case study on global optimisationJinyuan Zhang; Aimin Zhou; Guixu ZhangInternational Journal of Bio-Inspired Computation, Vol. 11, No. 4 (2018) pp. 267 - 281In evolutionary optimisation, the preselection aims to choose promising solutions from a set of can ... mehr
Multi-objective bat algorithm for mining numerical association rulesKamel Eddine Heraguemi; Nadjet Kamel; Habiba DriasInternational Journal of Bio-Inspired Computation, Vol. 11, No. 4 (2018) pp. 239 - 248Numerical association rule mining problem attracts the attention of researchers because ... mehr
A new method to solve optimisation problems via fixed point of firefly algorithmWenXin Yu; JunNian WangInternational Journal of Bio-Inspired Computation, Vol. 11, No. 4 (2018) pp. 249 - 256In this paper, we are going to introduce a novel iteractive method, leading us to find the fixed point ... mehr