Titlebook: Knowledge-Based and Intelligent Information and Engineering Systems, Part I; 15th International C Andreas K?nig,Andreas Dengel,Lakhmi C. Ja

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格子架

Sentiment Analysis of Customer Reviews: Balanced versus Unbalanced Datasetsistency of results when the datasets are of different sizes and also the effect of a balanced or unbalanced dataset. The experimental results indicate that both the algorithms over a realistic unbalanced dataset can achieve better results than the balanced datasets commonly used in research.

Affirm

Conference proceedings 2011, connectionists systems and evolutionary computation, machine learning and classical AI, agent, multi-agentsystems, knowledge based and expert systems, intelligent vision, image processing and signal processing, knowledge management, ontologies, and data mining.

enmesh

Adaptive Request Distribution in Cluster-Based Web Systemhin locally distributed fully replicated Web servers. We present the adaptive control framework and the design of Web switch applying our conception. We demonstrate through the simulations experiments the difference between our algorithms and compare them with the most popular and reference distribution algorithms.

Defiance

Adaptive HTTP Request Distribution in Time-Varying Environment of Globally Distributed Cluster-Basedgorithm using neuro-fuzzy models in the decision-making process. The presented results of the simulation experiments show how the Web system operates under control of the proposed algorithm and the way of adaptation of the system to time-varying environment.

CBC471

Labelled Transition System Generation from Alvis Languagegents with a high level programming language used for describing a behaviour of agents. The basic property of the Alvis Toolkit is the ability of generating of a formal system description directly from the Alvis source code. A way of generating Labelled Transition Systems for Alvis models is presented in the paper.

Urea508

conjunctivitis

Cupping

MANIA

A Library of Nonlinearities for Modeling and Simulation of Hybrid Systems necessary because the MATLAB? library provides only few general NL. In cases where applicable, neuro-fuzzy techniques were employed for modeling of NL. The paper presents some of the most important results, accompanied by their MATLAB Simulink? representation.