Nowadays, this term is defined as various of views. As a scientist, I would like to simplify it as much as possible. Loosely speaking, e-commerce (also written in forms eCommerce or E-commerce)…
Author: Admin
Research Topics in Information Systems
Tôi lấy nội dung từ trường đại học CarnegieMellon Tepper – School of Business để tiện cho những ai muốn tìm hiểu và nghiên cứu sâu hơn về các chủ…
A Computer Scientist’s Guide to Cell Biology
This book is designed specifically as a guide for Computer Scientists needing an introduction to Cell Biology. The text explores three different facets of biology: biological systems, experimental methods, and…
The Role of Statistical Methods in Computer Science and Bioinformatics
I post here the article discusses the role of statistical methods in computer science and bioinformatics. This work presents in details the importance and needs of the techniques using in…
BI7543 Bioinformatics II: Protein Structure
BI7543 Bioinformatics II: Protein Structure Credits: 3.00 Description: The course explores protein-folding representations; databases of protein-folding classes; secondary structure prediction; tertiary structure prediction via computer-folding experiments threading; homology model building;…
BI7533 Bioinformatics I: Sequence Analysis
BI7533 Bioinformatics I: Sequence Analysis Credits: 3.00 Description: This course covers computer representations of nucleic acid and protein sequences; pairwise and multiple alignment methods; available databases of nucleic acid and protein…
Introduction of Petri Net
Bài này giới thiệu chung về Petri nets. Đó là một loại đồ thị có hướng đặc biệt gồm 6 thành phần cấu tạo. P: set of places T: set…
Supervised vs. Unsupervised learning
Machine learning algorithms are described as either ‘supervised’ or ‘unsupervised’. The distinction is drawn from how the learner classifies data. In supervised algorithms, the classes are predetermined. These classes can…
Categorical Clustering vs Topical Clustering
In this post, I will give you some useful references about these two types of clustering methods: categorical vs topical clustering. Categorical Clustering: ROCK algorithm http://rss.acs.unt.edu/Rdoc/library/cba/html/rockCluster.html http://en.wikibooks.org/wiki/Data_Mining_Algorithms_In_R/Clustering/RockCluster Topical Clustering: Sahimi…
Cluster Analysis in R
R has an amazing variety of functions for cluster analysis. In this section, I will describe three of the many approaches: hierarchical agglomeration partitioning, and model based. While there are no best solutions for the…