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» Data Mining and Database Systems: Where is the Intersection
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KDD
2010
ACM
265views Data Mining» more  KDD 2010»
15 years 10 months ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...
MSS
1999
IEEE
115views Hardware» more  MSS 1999»
15 years 10 months ago
Managing Databases with Binary Large Objects
We present recommendations on Performance Management for databases supporting Binary Large Objects (BLOB) that, under a wide range of conditions, save both storage space and datab...
Michael Shapiro, Ethan L. Miller
KDD
2005
ACM
147views Data Mining» more  KDD 2005»
15 years 11 months ago
Combining proactive and reactive predictions for data streams
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Ying Yang, Xindong Wu, Xingquan Zhu
KDD
1994
ACM
98views Data Mining» more  KDD 1994»
15 years 10 months ago
Rule Induction for Semantic Query Optimization
Semantic query optimization can dramatically speed up database query answering by knowledge intensive reformulation. But the problem of how to learn required semantic rules has no...
Chun-Nan Hsu, Craig A. Knoblock
WAIM
2010
Springer
15 years 4 months ago
HyperGraphDB: A Generalized Graph Database
We present HyperGraphDB, a novel graph database based on generalized hypergraphs where hyperedges can contain other hyperedges. This generalization automatically reifies every ent...
Borislav Iordanov