Week 9/28-30

Content:
This week was very informative. One one hand we learned about the approach from syntax level to semeantics level and the and the need of definite vocabulary(ontology) for indexing, interworking and sharing of complex information in a well organised manner and on the other hand we learned more about clustering and regression, the fundamental domains of data mining.Dr. Fridsma lecture started with talk on transition from syntactic web to semantic web, the make up and applications and also its limitations.The usage of  ontology in semantics will not only have better interoperability and correct functionallity but would also be more robust and less ambiguious.He later discussed the usage of ontologies in information system and the advantages from it.On a whole i got a clear picture that why do we need standards in clinical science but also computers in order to have a better interoperability among the organizations.
I agree with all that Mr.Shuiwang lecture was much clearer and more understandable.The lecture was mainly focussed on supervised and unsupervised learning and also k nearest neighbour and k means. He told aproper definition and also mentioned  difference between them and also used general examples(like that of students in the class).The demos that he presented helped to understand the concept in a better way. I think that the refernces that he provided would be really helpful espicially the book on introduction to  Data Mining.

Posted by
Ashutosh Singraur