Sciweavers

872 search results - page 26 / 175
» Hybrid Learning Scheme for Data Mining Applications
Sort
View
GECCO
2004
Springer
127views Optimization» more  GECCO 2004»
14 years 1 months ago
Improved Niching and Encoding Strategies for Clustering Noisy Data Sets
Clustering is crucial to many applications in pattern recognition, data mining, and machine learning. Evolutionary techniques have been used with success in clustering, but most su...
Olfa Nasraoui, Elizabeth Leon
ICS
2001
Tsinghua U.
14 years 4 days ago
Global optimization techniques for automatic parallelization of hybrid applications
This paper presents a novel technique to perform global optimization of communication and preprocessing calls in the presence of array accesses with arbitrary subscripts. Our sche...
Dhruva R. Chakrabarti, Prithviraj Banerjee
IEAAIE
2010
Springer
13 years 5 months ago
Using Remote Data Mining on LIDAR and Imagery Fusion Data to Develop Land Cover Maps
Remote sensing based on imagery has traditionally been the main tool used to extract land uses and land cover (LULC) maps. However, more powerful tools are needed in order to fulfi...
Jorge García-Gutiérrez, Francisco Ma...
IJCAI
2003
13 years 9 months ago
Frequency-Based Coverage Statistics Mining for Data Integration
Recent work in data integration has shown the importance of statistical information about the coverage and overlap of data sources for efficient query processing. Gathering and s...
Zaiqing Nie, Subbarao Kambhampati
KDD
1994
ACM
82views Data Mining» more  KDD 1994»
13 years 11 months ago
Architectural Support for Data Mining
Oneof the mainobstacles in applying data mining techniques to large, real-world databasesis the lack of efficient data management.In this paper, wepresent the design and implement...
Marcel Holsheimer, Martin L. Kersten