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SUMMARY:Recent developments and research challenges in data linkage - Pete
 r Christen (Australian National University)
DTSTART:20160706T150000Z
DTEND:20160706T160000Z
UID:TALK66671@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Techniques for linking and integrating data from different sou
 rces are becoming increasingly important in many application areas\, inclu
 ding health\, census\, taxation\, immigration\, social welfare\, in crime 
 and fraud detection\, in the assembly of national security intelligence\, 
 for businesses\, in bibliometrics\, as well as in the social sciences.<br>
 <br>In today&#39\;s Big Data era\, data linkage (also known as entity reso
 lution\, duplicate detection\, and data matching) not only faces computati
 onal challenges due to the increasing size of data collections and their c
 omplexity\, but also operational challenges as many applications move from
  static environments into real-time processing and analysis of potentially
  very large and dynamically changing data streams\, where real-time linkin
 g of records is required. Additionally\, with the growing concerns by the 
 public of the use of their sensitive data\, privacy and confidentiality of
 ten need to be considered when personal information is being linked and sh
 ared between organisations.<br><span><br>In this talk I will present a sho
 rt introduction to data linkage\, highlight recent developments in advance
 d data linkage techniques and methods - with an emphasis on work conducted
  in the computer science domain - and discuss future research challenges a
 nd directions.</span>
LOCATION:Seminar Room 1\, Newton Institute
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