Food insecurity in the UK has captured public attention. However, estimates of its
prevalence are deeply contentious. The lack of precision on the volume of emergency food …

Big companies these days have huge volume of data but due to lacks of meaningful
extraction and translation technique, business potential has not sufficiently captured. To …

Document clustering is a traditional, efficient and yet quite effective, text mining technique
when we need to get a better insight of the documents of a collection that could be grouped …

Proliferation of web as an easily accessible information resource has led many corporations
to gather competitor intelligence from the internet. While collection of such information is …

During the recent years, much attention has been given to understand the behavior of king
cobra. However, there is no report regarding pose tracking and usage of mathematical …

Understanding and monitoring the makeup of a city is critical for effective urban planning.
Traditional ways of describing land-use involve the use of surveys, which are costly and …

Clustering is an efficient data mining as well as machine-learning method when we need to
get an insight of the objects of a dataset that could be grouped together. K-Means is one of …

Unstructured data are those that have no predetermined form or structure and are full of
textual data. It does not fit well into relational tables. Most enterprise data today can actually …

[目的] 为有效解决微博客户特性的表示问题, 以更好地实施企业微博客户细分.[方法]
借助微博平台上客户的个人和社会关系特性, 利用客户及其好友的自定义标签表示客户的特性 …

Zusammenfassung Als Denkfabrik bzw. Verein besteht die Mission der European
Technology Platform on Nanomedicine (ETPN) darin, die europäische Gemeinschaft nicht …