We present results from questionnaire data that were collected from leading data analytics researchers and experts across Austria. The online survey addresses very pressing questions in the area of (big) data analysis. Our findings provide valuable insights about what top Austrian data scientists think about data analytics, what they consider as important application areas that can benefit from...

OKCashbag (OCB), the largest coalition loyalty program in Korea, offers a number of benefits such as sharing customer data with participating firms and cross-selling. There is great value in utilizing information pertaining to coalition loyal patrons. However, the size of transaction data is huge. We propose how to create necessary summary information by reducing the dimension of coalition tran...

While “big data” has become a highlighted buzzword since last year, “big data mining”, i.e., mining from big data, has almost immediately followed up as an emerging, interrelated research area. This paper provides an overview of big data mining and discusses the related challenges and the new opportunities. The discussion includes a review of state-of-the-art frameworks and platforms for proces...

The comparison of two data sets can reveal a great deal of information about the time-varying nature of an observed process. For example, suppose that the points in a data set represent a customer’s activity by their location in n-dimensional space. A comparison of the distribution of points in two such data se.ts can indicate how the customer activity has changed between the observation period...

Though the big data benchmark suites like BigDataBench and CloudSuite have been used in architecture and system researches, we have not yet answered the fundamental issue— what are abstractions of frequently-appearing units of computation in big data analytics, which we call big data dwarfs. For the first time, we identify eight big data dwarfs, each of which captures the common requirements of...

The current interest in big data, machine learning and data analytics has generated the widespread impression that such methods are capable of solving most problems without the need for conventional scientific methods of inquiry. Interest in these methods is intensifying, accelerated by the ease with which digitized data can be acquired in virtually all fields of endeavour, from science, health...