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» Approximate data mining in very large relational data
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SOFTVIS
2005
ACM
15 years 7 months ago
Visual data mining in software archives
Software archives contain historical information about the development process of a software system. Using data mining techniques rules can be extracted from these archives. In th...
Michael Burch, Stephan Diehl, Peter Weißgerb...
SIGMOD
2007
ACM
151views Database» more  SIGMOD 2007»
16 years 1 months ago
The case for a wide-table approach to manage sparse relational data sets
A "sparse" data set typically has hundreds or even thousands of attributes, but most objects have non-null values for only a small number of these attributes. A popular ...
Eric Chu, Jennifer L. Beckmann, Jeffrey F. Naughto...
NIPS
2008
15 years 3 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong
92
Voted
EDBT
2004
ACM
94views Database» more  EDBT 2004»
16 years 1 months ago
Mining Extremely Skewed Trading Anomalies
Trading surveillance systems screen and detect anomalous trades of equity, bonds, mortgage certificates among others. This is to satisfy federal trading regulations as well as to p...
Wei Fan, Philip S. Yu, Haixun Wang
KDID
2004
481views Database» more  KDID 2004»
15 years 3 months ago
Models and Indices for Integrating Unstructured Data with a Relational Database
Abstract. Database systems are islands of structure in a sea of unstructured data sources. Several real-world applications now need to create bridges for smooth integration of semi...
Sunita Sarawagi