analysis. Data mining techniques coupled with fundamental and technical analysis types have the potential to give satisfactory … portfolios are higher than the benchmark buy-and-hold strategy return. It can be concluded that data mining techniques give …

2013 were collected and used to evaluate the performances of the data-mining techniques. Compared with the 4.5, SVM, MLP …

2013 were collected and used to evaluate the performances of the data-mining techniques. Compared with the 4.5, SVM, MLP …

algorithms. Researchers and practitioners have developed data mining techniques to solve diverse real-world data mining problems …, and real-life use-cases. Lately, identifying data mining techniques and corresponding problems that they solve has drawn … significant attention. In this paper, the author describes the progress made in developing data mining techniques and then …

Data mining techniques are widely used to uncover hidden knowledge that cannot be extracted using conventional … information retrieval and data analytics tools or using any manual techniques. Different data mining techniques have evolved over … and researchers in both industry and academia continuously develop and experiment with variety of data mining techniques …

externally. Different data mining techniques have evolved over the last two decades. To solve a wide variety of business problems …, different data mining techniques are developed. Practitioners and researchers in industry and academia continuously develop and … experiment varieties of data mining techniques. This article provides an overview of data mining techniques that are widely used …