The goal of supervised learning is to build a concise model of the distribution of class labels
in terms of predictor features. The resulting classifier is then used to assign class labels to …

" Carefully distinguishing between big data and open data, and exploring various data
infrastructures, Kitchin vividly illustrates how the data landscape is rapidly changing and …

Our world is becoming ever more data-driven, transforming how business is conducted,
governance enacted, and knowledge produced. Yet, the nature of data and the scope and …

The Quest for knowledge has led to new discoveries and inventions. With the emergence of
World Wide Web, it became a hub for all these discoveries and inventions. Web browsers …

Most existing remote sensing image retrieval systems allow only simple queries based on
sensor, location, and date of image capture. This approach does not permit the efficient …

Detection, classification, and attribution of high-resolution satellite image features in
nearshore areas in the aftermath of Hurricane Katrina in Gulfport, MS, are investigated for …

Besides new technology, a huge volume of data in various form has been available for
people. Image data represents a keystone of many research areas including medicine …

Big Data is a concept of major relevance in today's world, sometimes highlighted as a key
asset for productivity growth, innovation, and customer relationship, whose popularity has …

We propose in this paper an image mining technique based on multispectral aerial images
for automatic detection of strategic bridge locations for disaster relief missions. Bridge …

Several identification approaches have recently been employed in human identification
systems for forensic purposes to decrease human efforts and to boost the accuracy of …