Supporting cognitive operations on Big Data
Event details
| Date | 20.12.2016 |
| Hour | 11:00 › 12:00 |
| Speaker | Dr. Michalis Vlachos, IBM |
| Location | |
| Category | Conferences - Seminars |
Big Data can provide useful insights but they also overwhelm the data users. In this talk, I will describe three basic directions to mitigate the negative effects that frequently accompany the handling of Big Data. First, I will describe some novel techniques for effectively performing mining operations directly on compressed data. Then, I will describe how interpretable recommendations technologies can provide a solution to the problem of information overload. Finally, I will conclude with ways of querying large structured and unstructured datasets using a Natural Language paradigm.
Bio: Michalis Vlachos is a member of the Cognitive Systems group at IBM Zurich Research. His interests are in the areas of data mining, recommender systems and information retrieval. He has published more than 80 scientific articles in the above areas and his work has been cited more than 4000 times. His research has been supported by a Fulbright scholarship, a Marie-Curie Fellowship and an ERC Starting grant on the topic of “Exact Mining from InExact Data”.
https://ch.linkedin.com/in/michalis-vlachos-ba2544116
Bio: Michalis Vlachos is a member of the Cognitive Systems group at IBM Zurich Research. His interests are in the areas of data mining, recommender systems and information retrieval. He has published more than 80 scientific articles in the above areas and his work has been cited more than 4000 times. His research has been supported by a Fulbright scholarship, a Marie-Curie Fellowship and an ERC Starting grant on the topic of “Exact Mining from InExact Data”.
https://ch.linkedin.com/in/michalis-vlachos-ba2544116
Practical information
- Informed public
- Free
- This event is internal
Organizer
- LTS2
Contact
- Kirell Benzi