Missing data methods, within the datamining context, are limited in computational complexity due to large data amounts. Amongst the computationally simple yet effective imputation methods are the hot deck procedures....
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Peer-to-peer (P2P) networking has introduced a major shift in the application and traffic mix of the Internet and established itself as the main driver of increasing traffic volume. The high requirements of some P2P a...
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Measuring inter-document similarity is one of the most essential steps in text document clustering. Traditional methods rely on representing text documents using the simple Bag-of-Words (BOW) model. A document is an o...
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In this paper we propose a data stream clustering algorithm, called Self Organizing density based clustering over data Stream (SOStream). This algorithm has several novel features. Instead of using a fixed, user defin...
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Discovery of malicious correlations in computer networks has been an emergent problem motivating extensive research in computer science to develop improved intrusion detecting systems (IDS). In this manuscript, we pre...
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An investigation into the extraction of useful information from the free text element of questionnaires, using a semi-automated summarisation extraction technique to generate text summarisation classifiers, is describ...
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This paper is an attempt to enhance query classification in call routing applications. We have introduced a new method to learn weights from training data by means of regression model. In this work, we have tested our...
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As recommender systems have proven their effectiveness in other areas, it is aimed to transfer this approach for use in medicine. Particularly, the diagnoses of physicians made in rural hospitals of developing countri...
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Permutation entropy is computationally efficient, robust to noise, and effective to measure complexity. We used this technique to quantify the complexity of continuous vital signs recorded from patients with traumatic...
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The proceedings contain 31 papers. The topics discussed include: spatially correlated multi-modal wireless sensor networks: a coalitional game theoretic approach;autonomous self-aligning and self-calibrating capacitiv...
ISBN:
(纸本)9783642313677
The proceedings contain 31 papers. The topics discussed include: spatially correlated multi-modal wireless sensor networks: a coalitional game theoretic approach;autonomous self-aligning and self-calibrating capacitive sensor system;relay node positioning in wireless sensor networks by means of evolutionary techniques;vehicular ad-hoc networks(VANETs): capabilities, challenges in information gathering and data fusion;multi-cue based place learning for mobile robot navigation;bio-inspired navigation of mobile robots;market-based framework for mobile surveillance systems;tactical resource planner for workforce allocation in telecommunications;an interval type-2 fuzzy logic system for the modeling and prediction of financial applications;adaptive fuzzy logic control for time-delayed bilateral teleoperation;and an interval type-2 fuzzy logic system for human silhouette extraction in dynamic environments.
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