The prevalence of e-learning systems has made educational resources more accessible,
interactive and effective to learners without the geographic and temporal boundaries …

Big data processing systems are evolving to be more stream oriented where each data
record is processed as it arrives by distributed and low-latency computational frameworks on …

Will NoSQL Databases Live Up to Their Promise? Page 1 COMPUTER 12 TECHNOLOGY
NEWS Published by the IEEE Computer Society 0018-9162/10/$26.00 © 2010 IEEE Will …

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

Numerous irregular graph datasets, for example social networks or web graphs, may contain
even trillions of edges. Often, their structure changes over time and they have domain …

The variety of data is one of the most challenging issues for the research and practice in
data management systems. The data are naturally organized in different formats and …

There are now over 20 commercial vector database management systems (VDBMSs), all
produced within the past five years. But embedding-based retrieval has been studied for …

Big Data Systems (BDSs) are an emerging class of scalable software technologies whereby
massive amounts of heterogeneous data are gathered from multiple sources, managed …

Due to the surge of spatio-temporal data volume, the popularity of location-based services
and applications, and the importance of extracted knowledge from spatio-temporal data to …

Currently, the data to be explored and exploited by computing systems increases at an
exponential rate. The massive amount of data or so-called “Big Data” put pressure on …