As one of the fundamental tasks in text analysis, phrase mining aims at extracting quality
phrases from a text corpus and has various downstream applications including information …

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …

Since the late 1970s, relational database technology has been adopted by most
organizations to store their essential data. However, nowadays, the needs of these …

Text data are ubiquitous and play an essential role in big data applications. However, text
data are mostly unstructured. Transforming unstructured text into structured units (eg …

The popularity of camera phones and photo sharing websites, eg Flickr and Panoramio, has
led to huge volumes of community-contributed geotagged photos (CCGPs) available on the …

Road traffic accidents are a severe threat to human lives, particularly to vulnerable road
users (VRUs) such as pedestrians causing premature deaths. Therefore, it is necessary to …

Compute intensive kernels make up the majority of execution time in HPC applications.
Therefore, many of the power draw and energy consumption traits of HPC applications can …

Social business intelligence combines corporate data with user-generated content (UGC) to
make decision-makers aware of the trends perceived from the environment. A key role in the …

In the last decade, OnLine Analytical Processing (OLAP) has taken an increasingly
important role as a research field. Solutions, techniques and tools have been provided for …

Topic models, which factor each document into different topics and represent each topic as a
distribution of terms, have been widely and successfully used to better understand …