Sciweavers

1768 search results - page 112 / 354
» Mining Very Large Databases
Sort
View
AAAI
2010
15 years 4 months ago
Constraint Programming for Data Mining and Machine Learning
Machine learning and data mining have become aware that using constraints when learning patterns and rules can be very useful. To this end, a large number of special purpose syste...
Luc De Raedt, Tias Guns, Siegfried Nijssen
178
Voted
SIGMOD
2005
ACM
150views Database» more  SIGMOD 2005»
16 years 2 months ago
BRAID: Stream Mining through Group Lag Correlations
The goal is to monitor multiple numerical streams, and determine which pairs are correlated with lags, as well as the value of each such lag. Lag correlations (and anticorrelation...
Yasushi Sakurai, Spiros Papadimitriou, Christos Fa...
INCDM
2010
Springer
208views Data Mining» more  INCDM 2010»
15 years 4 months ago
Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis
Abstract. Leveraging the power of increasing amounts of data to analyze customer base for attracting and retaining the most valuable customers is a major problem facing companies i...
Zhiyuan Yao, Annika H. Holmbom, Tomas Eklund, Barb...
135
Voted
IJISTA
2008
95views more  IJISTA 2008»
15 years 2 months ago
Mining manufacturing data using genetic algorithm-based feature set decomposition
Data mining methods can be used for discovering interesting patterns in manufacturing databases. These patterns can be used to improve manufacturing processes. However, data accum...
Lior Rokach
139
Voted
ICCS
2007
Springer
15 years 8 months ago
Searching and Updating Metric Space Databases Using the Parallel EGNAT
Abstract. The Evolutionary Geometric Near-neighbor Access Tree (EGNAT) is a recently proposed data structure that is suitable for indexing large collections of complex objects. It ...
Mauricio Marín, Roberto Uribe, Ricardo J. B...