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ER
2005
Springer
200views Database» more  ER 2005»
15 years 11 months ago
How to Tame a Very Large ER Diagram (Using Link Analysis and Force-Directed Drawing Algorithms)
Abstract. Understanding a large schema without the assistance of persons already familiar with it (and its associated applications), is a hard and very time consuming task that occ...
Yannis Tzitzikas, Jean-Luc Hainaut
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
LPAR
2005
Springer
15 years 11 months ago
The Four Sons of Penrose
Abstract. We distill Penrose’s argument against the “artificial intelligence premiss”, and analyze its logical alternatives. We then clarify the different positions one can...
Nachum Dershowitz
183
Voted
VLDB
2005
ACM
140views Database» more  VLDB 2005»
15 years 11 months ago
Loadstar: Load Shedding in Data Stream Mining
In this demo, we show that intelligent load shedding is essential in achieving optimum results in mining data streams under various resource constraints. The Loadstar system intro...
Yun Chi, Haixun Wang, Philip S. Yu
VLDB
2005
ACM
139views Database» more  VLDB 2005»
15 years 11 months ago
Statistical Learning Techniques for Costing XML Queries
Developing cost models for query optimization is significantly harder for XML queries than for traditional relational queries. The reason is that XML query operators are much mor...
Ning Zhang 0002, Peter J. Haas, Vanja Josifovski, ...
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