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KES
2008
Springer
13 years 8 months ago
Data Mining for Navigation Generating System with Unorganized Web Resources
Users prefer to navigate subjects from organized topics in an abundance resources than to list pages retrieved from search engines. We propose a framework to cluster frequent items...
Diana Purwitasari, Yasuhisa Okazaki, Kenzi Watanab...
KES
2008
Springer
13 years 8 months ago
Early Forest Fire Detection with Sensor Networks: Sliding Window Skylines Approach
Wireless sensor networks are widely used in environmental applications, like forest fire detection. Although forest fires occur relatively rarely, their number is increasing in Eur...
Kresimir Pripuzic, Hrvoje Belani, Marin Vukovic
JITECH
2008
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13 years 8 months ago
Country attractiveness for offshoring and offshore outsourcing: additional considerations
In this article, we review aspects relating to the attractiveness of India for information technology offshore
Julia Kotlarsky, Ilan Oshri
IDA
2006
Springer
13 years 8 months ago
Sequential patterns for text categorization
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
Simon Jaillet, Anne Laurent, Maguelonne Teisseire
IDA
2006
Springer
13 years 8 months ago
Supervised evaluation of Voronoi partitions
Sylvain Ferrandiz, Marc Boullé
IDA
2006
Springer
13 years 8 months ago
Backward chaining rule induction
Exploring the vast number of possible feature interactions in domains such as gene expression microarray data is an onerous task. We describe Backward-Chaining Rule Induction (BCR...
Douglas H. Fisher, Mary E. Edgerton, Zhihua Chen, ...
IDA
2006
Springer
13 years 8 months ago
Structural hidden Markov models: An application to handwritten numeral recognition
We introduce in this paper a generalization of the widely used hidden Markov models (HMM's), which we name "structural hidden Markov models" (SHMM). Our approach is ...
Djamel Bouchaffra, Jun Tan
IDA
2006
Springer
13 years 8 months ago
Classification of symbolic objects: A lazy learning approach
Symbolic data analysis aims at generalizing some standard statistical data mining methods, such as those developed for classification tasks, to the case of symbolic objects (SOs). ...
Annalisa Appice, Claudia d'Amato, Floriana Esposit...
IDA
2006
Springer
13 years 8 months ago
Temporal Bayesian classifiers for modelling muscular dystrophy expression data
The analysis of microarray data from time-series experiments requires specialised algorithms, which take the temporal ordering of the data into account. In this paper we explore a ...
Allan Tucker, Peter A. C. 't Hoen, Veronica Vincio...
IDA
2006
Springer
13 years 8 months ago
Supporting bi-cluster interpretation in 0/1 data by means of local patterns
Clustering or co-clustering techniques have been proved useful in many application domains. A weakness of these techniques remains the poor support for grouping characterization. ...
Ruggero G. Pensa, Céline Robardet, Jean-Fra...