Titlebook: Data Science; Third International Beiji Zou,Min Li,Zeguang Lu Conference proceedings 2017 Springer Nature Singapore Pte Ltd. 2017 Data ana

Perineum

https://doi.org/10.1007/978-3-030-93856-7nce twentieth century, but its etiology is not yet completely clear, so it is very important to detect breast cells. In this paper, we built a regression model to detect breast cells, and generated a method for predicting the formation of benign and malignant breast cells by training the model, then

Pastry

Master Data of Bill of Material were unavoidable, which directly lead to deficient performance of personalizing. As a significant part of a user’s personal information space, a personal computer owns lots of documents relevant to his or her interest. Therefore, desktop data was introduced to construct a user’s preference model. F