id: 06067875
dt: a
an: 06067875
au: Chaudhari, Manoj S.; Dhote, Chandrashekhar
ti: Dynamic materialized view selection algorithm: a clustering approach.
so: Kannan, Rajkumar (ed.) et al., Data engineering and management. Second
    international conference, ICDEM 2010, Tiruchirappalli, India, July
    29‒31, 2010. Revised selected papers. Berlin: Springer (ISBN
    978-3-642-27871-6/pbk). Lecture Notes in Computer Science 6411, 57-66
    (2012).
py: 2012
pu: Berlin: Springer
la: EN
cc: 
ut: data warehousing; views; similarity function; materialization; view
    selection; view-maintenance; query processing cost
ci: 
li: doi:10.1007/978-3-642-27872-3_9
ab: Summary: A data warehouse can be seen as a set of materialized views
    defined over remote base relation. When the query is posed, it is
    evaluated locally using the materialized view without accessing the
    original database. The paper proposes clustering based dynamic
    materialized view selection algorithm. The base of the paper is to
    propose similarity function, clustering materialized view and then
    dynamically adjusting the materialized view.
rv: