Well, i think it is not biased towards machine learning, but math (that is – problems that can have a well-defined optimum goal). It might be due to the M in SIAM – Mathematics, although there are also the words “Industrial” and “Applied” over there.
For a bystander (i’ve never been nor submitted to SIAM, yet), it seems that SIAM’s accepted papers always contain more formulas than other DM conferences. not that there’s something wrong about formalizing or writing things in a compact way… but it shouldn’t be only about it (or +0,73% enhahncement in the algorithm’s efficiency).
Anonymoussays:
Well, to be fair, there were also a couple of interesting application papers in SDM-07. For instance,
A System for Keyword Search on Textual Streams
Vagelis Hristidis, Oscar Valdivia, Michail Vlachos and Philip S. Yu
Preventing Information Leaks in Email
Vitor R. Carvalho and William W. Cohen
Well, i think it is not biased towards machine learning, but math (that is – problems that can have a well-defined optimum goal). It might be due to the M in SIAM – Mathematics, although there are also the words “Industrial” and “Applied” over there.
For a bystander (i’ve never been nor submitted to SIAM, yet), it seems that SIAM’s accepted papers always contain more formulas than other DM conferences. not that there’s something wrong about formalizing or writing things in a compact way… but it shouldn’t be only about it (or +0,73% enhahncement in the algorithm’s efficiency).
Well, to be fair, there were also a couple of interesting application papers in SDM-07. For instance,
A System for Keyword Search on Textual Streams
Vagelis Hristidis, Oscar Valdivia, Michail Vlachos and Philip S. Yu
Preventing Information Leaks in Email
Vitor R. Carvalho and William W. Cohen
Rank Aggregation for Similar Items
D. Sculley