The proceedings contain 37 papers. The special focus in this conference is on Decision Trees, Clustering and Its Application. The topics include: Introspective learning to build case-based reasoning CBR knowledge cont...
ISBN:
(纸本)3540405046
The proceedings contain 37 papers. The special focus in this conference is on Decision Trees, Clustering and Its Application. The topics include: Introspective learning to build case-based reasoning CBR knowledge containers;graph-based tools for datamining and machinelearning;simplification methods for model trees with regression and splitting nodes;learning multi-label alternating decision trees from texts and data;a discretization method of continuous attributes with guaranteed resistance to noise;on the size of a classification tree;a comparative analysis of clustering algorithms applied to load profiling;similarity-based clustering of sequences using hidden markov models;a fast parallel optimization for training support vector machine;a ROC-based reject rule for support vector machines;remembering similitude terms in CBR;authoring cases from free-text maintenance data;classification boundary approximation by using combination of training steps for real-time image segmentation;simple mimetic classifiers;novel mixtures based on the dirichlet distribution;estimating a quality of decision function by empirical risk;efficient locally linear embeddings of imperfect manifolds;dissimilarity representation of images for relevance feedback in content-based image retrieval;a rule-based scheme for filtering examples from majority class in an imbalanced training set;coevolutionary feature learning for object recognition;generalization of pattern-growth methods for sequential pattern mining with gap constraints;discover motifs in multi-dimensional time-series using the principal component analysis and the MDL principle and optimizing financial portfolios from the perspective of mining temporal structures of stock returns.
The proceedings contain 12 papers. The special focus in this conference is on miningdata for Financial Applications. The topics include: Privacy risk for individual basket patterns;exploring students eating habits th...
ISBN:
(纸本)9783030134624
The proceedings contain 12 papers. The special focus in this conference is on miningdata for Financial Applications. The topics include: Privacy risk for individual basket patterns;exploring students eating habits through individual profiling and clustering analysis;calibrating the mean-reversion parameter in the hull-white model using neural networks;deep factor model: Explaining deep learning decisions for forecasting stock returns with layer-wise relevance propagation;a comparison of neural network methods for accurate sentiment analysis of stock market tweets;a progressive resampling algorithm for finding very sparse investment portfolios;ICIE 1.0: A novel tool for interactive contextual interaction explanations;testing for self-excitation in financial events: A bayesian approach;a web crawling environment to support financial strategies and trend correlation: – extended abstract –;a differential privacy workflow for inference of parameters in the rasch model.
This study aims to improve the accuracy of the quality detection of water conservancy projects, and to identify and analyze the outliers in the detection data by introducing machinelearning algorithms. A variety of t...
详细信息
In the digital age, society is faced with an increasing number of destructive messages on the Internet, including insults, racism, violent extremism and national extremism. This paper presents a machinelearning-based...
详细信息
This study designs and implements a bridge health monitoring system based on machinelearning. The system adopts a four-layer architecture, including data acquisition, processing, analysis and decision-making, and use...
详细信息
This paper explores the application of deep learning-based malware detection models in video conferencing systems. By constructing a large-scale dataset of malware and training deep neural network models such as CNN, ...
详细信息
This study explores the impact of industry-education integration on college students’ employment rate using machinelearning models. The original data was preprocessed through feature engineering, and models such as ...
详细信息
Traditional economic growth forecasting methods, though somewhat successful, have limitations such as assuming a linear data generation process and ignoring the nonlinear relationships between economic variables. This...
详细信息
The proceedings contain 70 papers. The topics discussed include: research on the optimization of driving strategy of intelligent networked vehicles based on big data technology;a tennis momentum analysis method based ...
ISBN:
(纸本)9798400718120
The proceedings contain 70 papers. The topics discussed include: research on the optimization of driving strategy of intelligent networked vehicles based on big data technology;a tennis momentum analysis method based on Gaussian dynamics and machinelearning;sentiment and user churn analysis for online platform business using yelp studies;research on commercial vehicle replacement prediction model based on improved attention mechanism;cross-sectional industrialization factors’ contribution to heat wave risk classification;cross-domain person search data augmentation based on style transfer;recurrent convolutional fact graph neural networks for temporal knowledge graph reasoning;and research on network quality evaluation system based on the entropy weight method.
In this paper, we propose an ontology-driven method for opinion mining in social media. We first construct our Tunisian datasets from YouTube and social media content, mainly Twitter and Facebook. Then, based on natur...
详细信息
ISBN:
(纸本)9783031850660;9783031850677
In this paper, we propose an ontology-driven method for opinion mining in social media. We first construct our Tunisian datasets from YouTube and social media content, mainly Twitter and Facebook. Then, based on natural language techniques and machinelearning, we built four ontologies related to the Mobile phone, Election, Restaurant, and TV channel domains. We also propose an opinion mining method based on our domain ontologies.
暂无评论