1 Introduction n today's ICT era, data is more voluminous and mul⁃ tifarious and is being
transferred with increasing speed. Some reasons for these trends are: scientific or⁃ …

Big data clustering is one of the recently challenging tasks that is used in many application
domains. Traditional clustering methods are not able to deal with large-scale of data …

In a global market the capacity to mine and analyze user data is one way for companies to
be as close in time and accuracy to the needs of their users. Big Data Platforms are one …

Cloud computing is a fast-growing paradigm that has forcefully emerged and established
itself in the next generation of IT industry and business, performing massive-scale and …

As in any new technology adoption in organizations, big data solutions (BDS) also presents
some security threat and challenges, especially due to the characteristics of big data itself …

This study seeks to understand the relationship between K‐12 online system adoption (eg, B
lackboard, E dmodo, W ord P ress) and school‐level academic achievement ratings …

A land cover classification service is introduced toward addressing current challenges on
the handling and online processing of big remote sensing data. The geospatial web service …

Abstract Mobile Cloud Computing (MCC) is the combination between cloud computing and
mobile devices. The challenge for mobile devices is to provide solutions for their limited …

Simultaneously to the unstoppable technological evolution and the highly demanding
requirements imposed by information exchange in today's world for data sharing, the …