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» New Research Directions in Search Results Clustering
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ML
2010
ACM
193views Machine Learning» more  ML 2010»
15 years 1 months ago
On the eigenvectors of p-Laplacian
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping N...
JCIT
2008
165views more  JCIT 2008»
15 years 6 months ago
Mining Processes using cluster approach for representing workflows
Although much attention is being paid to business Intelligence during the past decades, the design for applying business Intelligence and particularly in a workflow processes is s...
N. P. Kavya, M. V. Sathyanarayana, N. C. Naveen
WPES
2003
ACM
15 years 11 months ago
Preserving privacy when preference searching in e-commerce
The idea of using user preferences to assist with information filtering and with providing the most “relevant” answers to queries has recently received some attention from th...
Rhys Smith, Jianhua Shao
DEXA
2006
Springer
190views Database» more  DEXA 2006»
15 years 10 months ago
High-Dimensional Similarity Search Using Data-Sensitive Space Partitioning
Abstract. Nearest neighbor search has a wide variety of applications. Unfortunately, the majority of search methods do not scale well with dimensionality. Recent efforts have been ...
Sachin Kulkarni, Ratko Orlandic
ICWE
2010
Springer
15 years 8 months ago
Designing Service Marts for Engineering Search Computing Applications
: The use of patterns in data management is not new: in data warehousing, data marts are simple conceptual schemas with exactly one core entity, describing facts, surrounded by mul...
Alessandro Campi, Stefano Ceri, Andrea Maesani, St...