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» A Perspective on Databases and Data Mining
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CINQ
2004
Springer
125views Database» more  CINQ 2004»
15 years 10 months ago
The Hows, Whys, and Whens of Constraints in Itemset and Rule Discovery
Many researchers in our community (this author included) regularly emphasize the role constraints play in improving performance of data-mining algorithms. This emphasis has led to ...
Roberto J. Bayardo
PRIB
2009
Springer
187views Bioinformatics» more  PRIB 2009»
15 years 9 months ago
Semi-supervised Prediction of Protein Interaction Sentences Exploiting Semantically Encoded Metrics
Protein-protein interaction (PPI) identification is an integral component of many biomedical research and database curation tools. Automation of this task through classification ...
Tamara Polajnar, Mark A. Girolami
DBISP2P
2008
Springer
124views Database» more  DBISP2P 2008»
15 years 6 months ago
Exploiting Distribution Skew for Scalable P2P Text Clustering
K-Means clustering is widely used in information retrieval and data mining. Distributed K-Means variants have already been proposed, but none of the past algorithms scales to large...
Odysseas Papapetrou, Wolf Siberski, Fabian Leitrit...
SIGMOD
2009
ACM
165views Database» more  SIGMOD 2009»
15 years 9 months ago
Query by output
It has recently been asserted that the usability of a database is as important as its capability. Understanding the database schema, the hidden relationships among attributes in t...
Quoc Trung Tran, Chee-Yong Chan, Srinivasan Partha...
ICDE
2008
IEEE
161views Database» more  ICDE 2008»
16 years 6 months ago
Trajectory Outlier Detection: A Partition-and-Detect Framework
Outlier detection has been a popular data mining task. However, there is a lack of serious study on outlier detection for trajectory data. Even worse, an existing trajectory outlie...
Jae-Gil Lee, Jiawei Han, Xiaolei Li