The proceedings contain 150 papers. The topics discussed include: analysis of communication strategy of Guzheng art based on artificial intelligence;research on the health detection and seismic performance evaluation ...
The proceedings contain 150 papers. The topics discussed include: analysis of communication strategy of Guzheng art based on artificial intelligence;research on the health detection and seismic performance evaluation of high-rise buildings;application of ecological energy saving design in building reconstruction project;computer network communication security encryption system based on ant colony optimization algorithm;an analysis of datamining techniques in software engineering database design;intelligent analysis algorithm for hidden danger identification of intelligent network monitoring system from the perspective of big data;human behavior recognition of video surveillance system based on neural network;application of AI intelligent learning system in multimedia demonstration;and application of artificial intelligence technology in power system stability assessment.
Air traffic control flow prediction is one of the key issues in aviation transportation management, crucial for optimizing resource allocation, enhancing control efficiency, and ensuring flight operation safety. This ...
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Momentum analysis in tennis matches has predominantly focused on qualitative methods, lacking systematic quantitative approaches. This study proposes a novel method that integrates Gaussian dynamics models with machin...
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In crowdsourcing systems, where substantial amounts of data from various contributors are aggregated to discern reliable information, privacy concerns are often managed through differential privacy techniques. However...
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With the development of information technology, a large amount of data is generated and correlated. Realizing the integration of data from different channels, comprehensive analysis and datamining of multi-source dat...
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The proceedings contain 89 papers. The special focus in this conference is on datamining and Knowledge Engineering. The topics include: mining frequent sequential patterns under a similarity constraint;pre-pruning cl...
ISBN:
(纸本)9783540440253
The proceedings contain 89 papers. The special focus in this conference is on datamining and Knowledge Engineering. The topics include: mining frequent sequential patterns under a similarity constraint;pre-pruning classification trees to reduce overfitting in noisy domains;datamining for fuzzy decision tree structure with a genetic program;co-evolutionary datamining to discover rules for fuzzy resource management;discovering temporal rules from temporally ordered data;automated personalisation of internet users using self-organising maps;data abstractions for numerical attributes in datamining;calculating aggregates with range-encoded bit-sliced index;a classification algorithm for datamining;a hierarchical model to support Kansei mining process;indexing and mining of the local patterns in sequence database;a knowledge discovery by fuzzy rule based hopfield network;fusing partially inconsistent expert and learnt knowledge in uncertain hierarchies;organisational information management and knowledge discovery in email within mailing lists;design of multi-drilling gear machines by knowledge processing and machine simulation;approach based on hierarchically structured subject domain;a knowledge-based information extraction system for semi-structured labeled documents;measuring semantic similarity between words using lexical knowledge and neural networks;extraction of hidden semantics from web pages;self-organising maps for hierarchical tree view document clustering using contextual information;schema discovery of the semi-structured and hierarchical data;indexing and retrieving web document using computational and linguistic techniques and an intelligent mobile commerce system with dynamic contents builder and mobile products browser.
The proceedings contain 49 papers. The special focus in this conference is on machinelearning, Optimization, and Big data. The topics include: Nonlinear methods for design-space dimensionality reduction in shape opti...
ISBN:
(纸本)9783319729251
The proceedings contain 49 papers. The special focus in this conference is on machinelearning, Optimization, and Big data. The topics include: Nonlinear methods for design-space dimensionality reduction in shape optimization;a differential evolution algorithm to develop strategies for the iterated prisoner’s dilemma;automatic creation of a large and polished training set for sentiment analysis on twitter;forecasting natural gas flows in large networks;a differential evolution algorithm to semivectorial bilevel problems;evolving training sets for improved transfer learning in brain computer interfaces;hybrid global/local derivative-free multi-objective optimization via deterministic particle swarm with local linesearch;artificial bee colony optimization to reallocate personnel to tasks improving workplace safety;multi-objective genetic algorithm for interior lighting design;improving support vector machines performance using local search;an elementary approach to the problem of column selection in a rectangular matrix;A simple and effective lagrangian-based combinatorial algorithm for S3VMs;A heuristic based on fuzzy inference systems for multiobjective IMRT treatment planning;data-driven machinelearning approach for predicting missing values in large data sets: A comparison study;mineral: Multi-modal network representation learning;visual perception of mixed homogeneous textures in flying pigeons;estimating dynamics of honeybee population densities with machinelearning algorithms;SQG-differential evolution for difficult optimization problems under a tight function evaluation budget;age and gender classification of tweets using convolutional neural networks;approximate dynamic programming with combined policy functions for solving multi-stage nurse rostering problem;projective approximation based quasi-newton methods;a datamining tool for water uses classification based on multiple classifier systems.
In today’s society, recommendation systems are critical. Because there is a huge amount of data around us, whether music, book, or movie data, numerous programs or businesses, including Netflix, Amazon, and Spotify, ...
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The rapid development of artificial intelligence has led to the increasing application of image recognition in autonomous driving and surveillance. However, these systems are often vulnerable to adversarial attacks. I...
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Predicting learning outcomes (LO) is an important problem in educational datamining (EDM). Despite extensive research, there remains a gap in determining the optimal timing for predicting early LO with acceptable acc...
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