Frequent patterns are patterns that appear in a data set frequently. This method searches for recurring relationship in a given data set. Several techniques have been proposed to improve the performance of frequent pattern mining algorithms. This paper presents revision of different frequent mining techniques including Apriori based algorithms, association rule based, Cp tree, and FP growth. A ...

clinical databases can be categorized as big data, include large quantities of information about patients and their medical conditions. analyzing the quantitative and qualitative clinical data in addition with discovering relationships among huge number of samples using data mining techniques could unveil hidden medical knowledge in terms of correlation and association of apparently independent...

ABSTRACT Classification is valuable and necessary in spectral analysis, especially for data-driven mining. Along with the rapid development of surveys, a variety classification techniques have been successfully applied to astronomical data processing. However, it difficult select an appropriate method practical scenarios due different algorithmic ideas characteristics. Here, we present second w...

Understanding the effect of characteristics formulation and process parameters on physicochemical properties a pharmaceutical product is very significant for development solid dosage forms, as knowledge gained small scale batches in early phase used later phases lifecycle or other products. One approaches gaining better understanding effects production quality finished to apply systematical app...