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» A Perspective on Databases and Data Mining
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CORR
2008
Springer
115views Education» more  CORR 2008»
15 years 6 months ago
New probabilistic interest measures for association rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. Many different measures of interestingness have been proposed for ...
Michael Hahsler, Kurt Hornik
222
Voted
SIGMOD
2001
ACM
229views Database» more  SIGMOD 2001»
16 years 6 months ago
A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries
The ability to approximately answer aggregation queries accurately and efficiently is of great benefit for decision support and data mining tools. In contrast to previous sampling...
Surajit Chaudhuri, Gautam Das, Vivek R. Narasayya
KDD
1999
ACM
217views Data Mining» more  KDD 1999»
15 years 11 months ago
An Efficient Algorithm to Update Large Itemsets with Early Pruning
We present an efficient algorithm (UWEP) for updating large itemsets when new transactions are added to the set of old transactions. UWEP employs a dynamic lookahead strategy in u...
Necip Fazil Ayan, Abdullah Uz Tansel, M. Erol Arku...
EDBT
2008
ACM
180views Database» more  EDBT 2008»
16 years 6 months ago
Probabilistic ranked queries in uncertain databases
Recently, many new applications, such as sensor data monitoring and mobile device tracking, raise up the issue of uncertain data management. Compared to "certain" data, ...
Xiang Lian, Lei Chen 0002
SIGMOD
2008
ACM
203views Database» more  SIGMOD 2008»
16 years 6 months ago
Querying continuous functions in a database system
Many scientific, financial, data mining and sensor network applications need to work with continuous, rather than discrete data e.g., temperature as a function of location, or sto...
Arvind Thiagarajan, Samuel Madden