With the ever-increasing amount of data, the world has stepped into the era of “Big Data”.
Presently, the analysis of massive and complex data and the extraction of relevant …

There is a significant gap between researchers' production of evidence and its use by
policymakers. Several knowledge transfer strategies have emerged in the past years to …

As consumers increasingly engage in online brand communities, the demand of brand-
related activities (eg, finding relevant product information and sharing product information) …

Text mining is a new and exciting area of computer science research that tries to solve the
crisis of information overload by combining techniques from data mining, machine learning …

Simple tree models for articulated objects prevails in the last decade. However, it is also
believed that these simple tree models are not capable of capturing large variations in many …

The amount of digitized information available on the Internet, in digital libraries, and other
forms of information systems grows at an exponential rate, while becoming more complex …

Stock price prediction has attracted much attention from both practitioners and researchers.
However, most studies in this area ignored the non-stationary nature of stock price series …

Increasing reliance on the web for decision-making combined with higher demand on
technologies that can efficiently deal with large volumes of data make visualization an …

Identifying helpful reviews from massive review data has been a hot topic in the past
decade. While existing research on review helpfulness estimation and prediction is primarily …

Information technology has made possible the capture and accessing of a large number of
data and knowledge bases, which in turn has brought about the problem of information …