Sciweavers

1768 search results - page 106 / 354
» Mining Very Large Databases
Sort
View
110
Voted
ENGL
2007
191views more  ENGL 2007»
15 years 2 months ago
Data Mining for extraction of fuzzy IF-THEN rules using Mamdani and Takagi-Sugeno-Kang FIS
— This paper presents clustering techniques (K-means, Fuzzy K-means, Subtractive) applied on specific databases (Flower Classification and Mackey-Glass time series) , to automati...
Juan E. Moreno, Oscar Castillo, Juan R. Castro, Lu...
ICDE
2010
IEEE
240views Database» more  ICDE 2010»
15 years 7 months ago
Top-K aggregation queries over large networks
Searching and mining large graphs today is critical to a variety of application domains, ranging from personalized recommendation in social networks, to searches for functional ass...
Xifeng Yan, Bin He, Feida Zhu, Jiawei Han
129
Voted
ADC
2003
Springer
106views Database» more  ADC 2003»
15 years 7 months ago
Database Component Ware
Database modeling is still a job of an artisan. Due to this approach database schemata evolve by growth without any evolution plan. Finally, they cannot be examined, surveyed, con...
Bernhard Thalheim
132
Voted
SIGMOD
2004
ACM
184views Database» more  SIGMOD 2004»
16 years 2 months ago
CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies
The rich dependency structure found in the columns of real-world relational databases can be exploited to great advantage, but can also cause query optimizers--which usually assum...
Ihab F. Ilyas, Volker Markl, Peter J. Haas, Paul B...
139
Voted
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 3 months ago
Stochastic processes and temporal data mining
This article tries to give an answer to a fundamental question in temporal data mining: "Under what conditions a temporal rule extracted from up-to-date temporal data keeps i...
Paul Cotofrei, Kilian Stoffel