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IPPS
2002
IEEE
16 years 9 hour ago
Parallel Incremental 2D-Discretization on Dynamic Datasets
Most current work in data mining assumes that the database is static, and a database update requires rediscovering all the patterns by scanning the entire old and new database. Su...
Srinivasan Parthasarathy, Arun Ramakrishnan
KDD
2012
ACM
257views Data Mining» more  KDD 2012»
13 years 9 months ago
Aggregating web offers to determine product prices
Historical prices are important information that can help consumers decide whether the time is right to buy a product. They provide both a context to the users, and facilitate the...
Rakesh Agrawal, Samuel Ieong
SIGMOD
2008
ACM
103views Database» more  SIGMOD 2008»
16 years 7 months ago
XArch: archiving scientific and reference data
Database archiving is important for the retrieval of old versions of a database and for temporal queries over the history of data. We demonstrate XArch, a management system for ma...
Heiko Müller, Ioannis Koltsidas, Peter Bunema...
SIGMOD
2007
ACM
192views Database» more  SIGMOD 2007»
16 years 7 months ago
Benchmarking declarative approximate selection predicates
Declarative data quality has been an active research topic. The fundamental principle behind a declarative approach to data quality is the use of declarative statements to realize...
Amit Chandel, Oktie Hassanzadeh, Nick Koudas, Moha...
KDD
2008
ACM
182views Data Mining» more  KDD 2008»
16 years 7 months ago
Classification with partial labels
In this paper, we address the problem of learning when some cases are fully labeled while other cases are only partially labeled, in the form of partial labels. Partial labels are...
Nam Nguyen, Rich Caruana