Text mining in big data analytics is emerging as a powerful tool for harnessing the power of
unstructured textual data by analyzing it to extract new knowledge and to identify significant …

Clustering is the unsupervised classification of patterns (observations, data items, or feature
vectors) into groups (clusters). The clustering problem has been addressed in many contexts …

Ben shu chan shu le shu ju wa jue he zhi shi fa xian ji shu de chan sheng, Fa zhan, Ying
yong he xiang guan gai nian, Yuan li, Suan fa. Dui shu ju wa jue zhong de zhu yao ji shu fen …

Data mining and knowledge discovery in databases have been attracting a significant
amount of research, industry, and media attention of late. What is all the excitement about …

With the huge amount of information available online, the World Wide Web is a fertile area
for data mining research. The Web mining research is at the cross road of research from …

It is not unusual in the information technology (IT) literature to see different perspectives
expressed on the same technology, particularly when it is of critical concern as an …

Boosting has become very popular in computer vision, showing impressive performance in
detection and recognition tasks. Mainly off-line training methods have been used, which …

The Internet presents numerous sources of useful information--telephone directories,
product catalogs, stock quotes, weather forecasts, etc. Recently, many systems have been …

The objective of this paper is to inform the information systems (IS) manager and business
analyst about the role of machine learning techniques in business data mining. Data mining …

In this article, we define webometrics within the framework of informetric studies and
bibliometrics, as belonging to library and information science, and as associated with …