Seminar by Dr. Alfredo Cuzzocrea (University of Trieste, Italy)

Speaker: Dr. Alfredo Cuzzocrea
                University of Trieste, Italy

Title: OLAPing Uncertain Big Multidimensional Data Streams

Date: Wednesday, April 13th, 2016

Time: 11am

Place: EV11.119

ABSTRACT

Big multidimensional data streams are playing a leading role innext-generation DSMS. This essentially because real-life big data streams are inherently multidimensional, multi-level and multi-granular in nature, hence opening the door to a wide spectrum of applications ranging from environmental sensor networks to monitoring and tracking systems, and so forth. Consequently, there is a need for innovative models and algorithms for representing and processing such streams. Moreover, supporting OLAP
analysis and mining tasks is a "first-class" issue in the major context of knowledge discovery from streams, for which above-mentioned models and algorithms are baseline components. This issue becomes more problematic when
uncertain and imprecise multidimensional big data streams are considered. Inspired by these critical research challenges, this talk presents an overview of major research issues in this context and an innovative technique for supporting OLAP over uncertain big multidimensional data streams.

BIO

Alfredo Cuzzocrea is currently Associate Professor at the DIA Department,University of Trieste, Italy.  Previously, he has been Researcher at the Institute of High Performance Computing and Networking of the Italian National Research Council, Italy, and Adjunct Professor at the University of Calabria, Italy. He is author or co-author of more than 350 papers in international conferences (including EDBT, CIKM, SSDBM, MDM, DaWaK, DOLAP), international journals (including JCSS, IS, KAIS, DKE, INS) and international books (mostly edited by Springer).