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KDD
1994
ACM
98views Data Mining» more  KDD 1994»
14 years 29 days 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
KBS
2002
106views more  KBS 2002»
13 years 8 months ago
Hybrid decision tree
In this paper, a hybrid learning approach named HDT is proposed. HDT simulates human reasoning by using symbolic learning to do qualitative analysis and using neural learning to d...
Zhi-Hua Zhou, Zhaoqian Chen
IIE
2006
99views more  IIE 2006»
13 years 8 months ago
JeCo: Combining Program Visualization and Story Weaving
We present a collaborative learning tool for programming, Jeliot Collaboratively or JeCo. Jeliot Collaboratively is a combination of a program visualization tool for Java programs,...
Niko Myller, Jussi A. Nuutinen
ICDE
2004
IEEE
85views Database» more  ICDE 2004»
14 years 10 months ago
A Frequency-based Approach for Mining Coverage Statistics in Data Integration
Query optimization in data integration requires source coverage and overlap statistics. Gathering and storing the required statistics presents many challenges, not the least of wh...
Zaiqing Nie, Subbarao Kambhampati
DAGSTUHL
2003
13 years 10 months ago
Feature tracking with skeleton graphs
One way to visualize large time-dependent data sets, is by visualization of the evolution of features in these data. The process consists of four steps: feature extraction, featur...
Benjamin Vrolijk, Freek Reinders, Frits H. Post