Titlebook: Intelligent Information and Database Systems; 6th Asian Conference Ngoc Thanh Nguyen,Boonwat Attachoo,Kulwadee Somboo Conference proceeding

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Pamphlet

浮雕宝石

Optimization Algorithms for One-Class Classification Ensemble Prunings for this task has proven itself as a promising research direction. Here arises a problem on how to select valuable members to the committee - so far a largely unexplored area in one-class classification. Recently, a novel scheme utilizing a multi-objective ensemble pruning was proposed. It combine

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Evaluation of Fuzzy System Ensemble Approach to Predict from a Data Streamle predictive models from a data stream of real estate transactions. The method relies on building models over the chunks of a data stream determined by a sliding time window and incrementally expanding an ensemble by systematically generated models in the course of time. The aged models are utilize

Critical

Genetic Transformation Techniques in Cryptanalysist evolutionary algorithms can effectively be used for cryptanalysis attacks in order to obtain major speed and memory optimization. A classical transposition cipher was applied in all of the research tests in order to prove this hypothesis. All ciphertexts will be subject to cryptanalysis attacks ex

Basilar-Artery

On-the-Go Adaptability in the New Ant Colony Decision Forest Approachoposition is to create an adaptive meta-ensemble based on data sets created during the algorithm runtime. This on-the-go approach allows to construct classifiers in which wrongly classified objects obtain a greater probability of being chosen for the pseudo-samples in subsequent iterations. Every ps

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滋养

A Family of the Online Distance-Based Classifiersnew instance is given and the algorithm makes a prediction. After the true class of the instance is revealed, the learning algorithm updates its internal hypothesis. The proposed algorithms are based on fuzzy C-means clustering followed by calculation of distances between cluster centroids and the i

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