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ICPP
2000
IEEE
14 years 2 months ago
A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary
JCM
2006
144views more  JCM 2006»
13 years 9 months ago
Using Micro-Genetic Algorithms to Improve Localization in Wireless Sensor Networks
Wireless sensor networks are widely adopted in many location-sensitive applications including disaster management, environmental monitoring, military applications where the precise...
Vincent Tam, King-Yip Cheng, King-Shan Lui
HEURISTICS
2010
13 years 7 months ago
A shift sequence based approach for nurse scheduling and a new benchmark dataset
This paper investigates an adaptive constructive method for solving nurse rostering problems. The constraints considered in the problems are categorised into three classes: those t...
Peter Brucker, Edmund K. Burke, Timothy Curtois, R...
ANLP
1994
103views more  ANLP 1994»
13 years 11 months ago
Exploiting Sophisticated Representations for Document Retrieval
The use of NLP techniques for document classification has not produced significant improvements in performance within the standard term weighting statistical assignment paradigm (...
Steven Finch
KDD
2007
ACM
184views Data Mining» more  KDD 2007»
14 years 10 months ago
Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis
To unravel the concept structure and dynamics of the bioinformatics field, we analyze a set of 7401 publications from the Web of Science and MEDLINE databases, publication years 1...
Bart De Moor, Frizo A. L. Janssens, Wolfgang Gl&au...