Data Cubes have been widely studied
and implemented, and so we researchers shouldn't be thinking about
them anymore, right? Wrong. In this talk, I'll try to convince you
that the multidimensional model of data ("cube" sounds so much
cooler) provides the right perspective for addressing many
challenging tasks, including dealing with imprecision, mining for
interesting subsets of data, analysis of historical stream data, and
world peace. The talk will touch upon results from a couple of VLDB
2005 papers, and some recent ongoing work.
Bio:
Raghu Ramakrishnan is Professor of
Computer Sciences at the University of Wisconsin-Madison, and was
founder and CTO of QUIQ, a company that pioneered collaborative
customer support (acquired by Kanisa). His research is in the area
of database systems, with a focus on data retrieval, analysis, and
mining. He and his group have developed scalable algorithms for
clustering, decision-tree construction, and itemset counting, and
were among the first to investigate mining of continuously evolving,
stream data. His work on query optimization and deductive databases
has found its way into several commercial database systems, and his
work on extending SQL to deal with queries over sequences has
influenced the design of window functions in SQL:1999. His paper on
the Birch algorithm for scalable clustering is the 3rd most widely
cited database publication over the past decade, according to a
recent study by Rahm and Thor, and he has written the widely-used
text "Database Management Systems" (WCB/McGraw-Hill, with J.
Gehrke), now in its third edition.
He is Chair of ACM SIGMOD, on the Board of Directors of ACM SIGKDD
and the Board of Trustees of the VLDB Endowment, an associate editor
of ACM Transactions on Database Systems, and was previously
editor-in-chief of the Journal of Data Mining and Knowledge
Discovery and the Database area editor of the Journal of Logic
Programming. Dr. Ramakrishnan is a Fellow of the Association for
Computing Machinery (ACM), and has received several awards,
including a Packard Foundation Fellowship, an NSF Presidential Young
Investigator Award, and an ACM SIGMOD Contributions Award, and was
selected as a Vilas Associate by the University of Wisconsin in
1999.