CS Other Presentations

Department of Computer Science - University of Cyprus

Besides Colloquiums, the Department of Computer Science at the University of Cyprus also holds Other Presentations (Research Seminars, PhD Defenses, Short Term Courses, Demonstrations, etc.). These presentations are given by scientists who aim to present preliminary results of their research work and/or other technical material. Other Presentations serve as a forum for educating Computer Science students and related announcements are disseminated to the Department of Computer Science (i.e., the csall list):
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Presentations Coordinator: Demetris Zeinalipour

Seminar: Interactive Example-driven Exploration over Structured and Unstructured Data, Prof. Panos K. Chrysanthis (University of Pittsburgh, USA), Friday, July 23, 2021, 11:00-12:00 EET.

The Department of Computer Science at the University of Cyprus cordially invites you to the Seminar entitled:

Interactive Example-driven Exploration over Structured and Unstructured Data

Speaker: Prof. Panos K. Chrysanthis
Affiliation: University of Pittsburgh, USA
Category: Seminar
Location: Hybrid Event: Speaker will be at UCY but Participants need to connect over Zoom (Registration Necessary): https://ucy.zoom.us/meeting/register/tJwkcuigqj8pGNOfwzJWne67cnddM3PwY_zW (directions)
Date: Friday, July 23, 2021
Time: 11:00-12:00 EET
Host: Demetris Zeinalipour (dzeina-AT-cs.ucy.ac.cy)
URL: https://www.cs.ucy.ac.cy/colloquium/presentations.php#cs.ucy.pres.2021.chrysanthis

Driven by the exponential growth in data volume and complexity, and the increasing demand to extract value from it, interactive data exploration (IDE) approaches have recently received a great amount of attention in both industry and academia. IDE refers to a series of exploratory tasks that aim to extract useful pieces of knowledge from data, and its challenge is to do so without requiring the user to specify with precision what information is being searched for. In this talk, we will present our example-driven IDE framework that assists users to construct their exploratory queries effortlessly, which effectively reveals interesting data objects. The novelty of our approach is anchored on leveraging active learning and query optimization techniques that strike a balance between maximizing accuracy and minimizing user effort in providing feedback while enabling interactive performance for exploration tasks with arbitrary, large-sized datasets. To affirm the effectiveness of our proposed models, techniques, and algorithms, we implemented two prototype systems, called REQUEST and ExNav for structure and unstructured datasets, respectively, and evaluated them using real datasets.

Short Bio:
Panos K. Chrysanthis is a professor of computer science and the founding director of the Advanced Data Management Technologies Laboratory at the University of Pittsburgh. He is also an adjunct professor at Carnegie-Mellon University and at the University of Cyprus. His research interests lie within the areas of data management (big data, databases, data Streams & sensor networks, data analytics and visualization), and distributed, mobile and ubiquitous computing. He received the US National Science Foundation CAREER Award (1995), Pitt's Provost Award in Excellence in Mentoring (2015), and UMass Outstanding Award in Education (2019). He is an ACM distinguished scientist and a senior member of the IEEE. He received the BS degree from the University of Athens, Greece, and the MS and PhD degrees from the University of Massachusetts at Amherst.

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