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WECWIS
2006
IEEE
137views ECommerce» more  WECWIS 2006»
14 years 2 months ago
Real Time Business Intelligence for the Adaptive Enterprise
— In today's competitive environment, analysing data to predict market trends of products and services and to improve the performance of enterprise systems is an essential b...
Ben Azvine, Zhan Cui, Detlef Nauck, Basim A. Majee...
BIS
2007
173views Business» more  BIS 2007»
13 years 10 months ago
Natural Language Technology for Information Integration in Business Intelligence
Business intelligence requires the collecting and merging of information from many different sources, both structured and unstructured, in order to analyse for example financial ...
Diana Maynard, Horacio Saggion, Milena Yankova, Ka...
PKDD
2010
Springer
194views Data Mining» more  PKDD 2010»
13 years 6 months ago
Weighted Symbols-Based Edit Distance for String-Structured Image Classification
As an alternative to vector representations, a recent trend in image classification suggests to integrate additional structural information in the description of images in order to...
Cécile Barat, Christophe Ducottet, É...
SIGKDD
2008
125views more  SIGKDD 2008»
13 years 8 months ago
Incremental pattern discovery on streams, graphs and tensors
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
Jimeng Sun
ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
14 years 2 months ago
On the Lower Bound of Local Optimums in K-Means Algorithm
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung