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DTSTART:20221030T030000
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DTSTART:20230326T020000
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UID:calendar.25631.field_data.0@www.ugovricerca.uniroma1.it
DTSTAMP:20260408T074256Z
CREATED:20230303T104245Z
DESCRIPTION:Data and metadata in datasets experience many different kinds o
 f change. Values are inserted\, deleted or updated\; rows appear and disap
 pear\; columns are added or repurposed\, etc. In such a dynamic situation\
 , users might have many questions related to changes in the dataset\, for 
 instance which parts of the data are trustworthy and which are not? Users 
 will wonder: How many changes have there been in the recent minutes\, days
  or years? What kind of changes were made at which points of time? How dir
 ty is the data? Is data cleansing required? The fact that data changed can
  hint at different hidden processes or agendas: a frequently crowd-updated
  city name may be controversial\; a person whose name has been recently ch
 anged may be the target of vandalism\; and so on. We show various use case
 s that benefit from recognizing and exploring such change. We present a sy
 stem and methods to interactively explore such change\, addressing the var
 iability dimension of big data challenges. To this end\, we propose a mode
 l to capture change and the process of exploring dynamic data to identify 
 salient changes. We provide exploration primitives along with motivational
  examples and measures for the volatility of data. Finally\, we identify t
 echnical challenges that need to be addressed to make our vision a reality
 \, show some use cases of change exploration and propose directions of fut
 ure work.Short Bio. Felix Naumann studied mathematics\, economy\, and comp
 uter sciences at the University of Technology in Berlin. After receiving h
 is diploma (MA) in 1997 he completed his PhD thesis in the area of data qu
 ality at Humboldt University of Berlin in 2000. In 2001 and 2002 he worked
  at the IBM Almaden Research Center on topics around data integration. Fro
 m 2003 - 2006 he was assistant professor for information integration again
  at the Humboldt-University of Berlin. Since 2006 he holds the chair for i
 nformation systems at the Hasso Plattner Institute at the University of Po
 tsdam in Germany. He has been visiting researcher at QCRI\, AT&T Research 
 and IBM Research. His research interests include data profiling\, data cle
 ansing\, and text mining. More details are at https://hpi.de/naumann.***Yo
 u can attend the talk online using the following link: https://www.youtube
 .com/@videodiag-sapienzauniversi4757***
DTSTART;TZID=Europe/Paris:20230314T150000
DTEND;TZID=Europe/Paris:20230314T150000
LAST-MODIFIED:20230303T105717Z
LOCATION:Aula Magna\, via Ariosto 25
SUMMARY:Exploring Change – A New Dimension of Data Analytics - prof. Felix 
 Naumann
URL;TYPE=URI:http://www.ugovricerca.uniroma1.it/node/25631
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