DSC/e Distinguished Lecture Jiawei Han

20 jul. 2017, 15.30 - 18.00

Mining Structures from Massive Text Data: A Data-Driven Approach


The real-world big data are largely unstructured, interconnected, and in the form of natural language text. One of the grand challenges is to turn such massive data into structured networks and actionable knowledge. We propose a text mining approach that requires only distant supervision or minimal supervision but relies on massive data. Read more


Jiawei Han is Abel Bliss Professor in the Department of Computer Science, University of Illinois at Urbana-Champaign. He has been researching into data mining, information network analysis, database systems, and data warehousing, with over 600 journal and conference publications. He has chaired or served on many program committees of international conferences, including PC co-chair for KDD, SDM, and ICDM conferences, and Americas Coordinator for VLDB conferences. He also served as the founding Editor-In-Chief of ACM Transactions on Knowledge Discovery from Data and the Director of Information Network Academic Research Center supported by U.S. Army Research Lab, and is the co-Director of KnowEnG, an NIH funded Center of Excellence in Big Data Computing. Read more


Date and time: Thursday, July 20, 16:00 – 17.00
Location: TU/e, Filmzaal de Zwarte Doos

15:30-16:00 Registration and coffee
16.00-17.00 Lecture by dr. Jiawei Han
17.00-18.00 Network drinks

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DSC/e Distinguished Lecture Jiawei Han
  • Datum: 20 jul. 2017
  • Starttijd: 15.30
  • Eindtijd: 18.00
  • Locatie: TU/e, Filmzaal de Zwarte Doos
  • Website
Koop Kaartjes

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