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 …

We consider extending decision support facilities toward large sophisticated networks, upon
which multidimensional attributes are associated with network entities, thereby forming the …

Social platforms, such as Twitter, reveal much about the tastes of the public. Many studies
focus on the content analysis of social platforms, which assists in product promotion and …

We propose an approach to analyzing data in which texts are associated with spatial and
temporal references with the aim to understand how the text semantics vary over space and …

In this paper we propose to integrate Time-Aware Fuzzy Formal Concept Analysis theory
with OLAP technology over multidimensional tweet streams in order to arrange tweets in the …

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 …

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 …

Huge amounts of data with both spatial and temporal information (eg, geo-tagged tweets)
are being generated, and are often used to share and spread personal updates …

Online analytical processing (OLAP) approach is widely used in business intelligence to
cater the multidimensional queries for decades. In this era of cutting-edge technology and …