19 Result(s)
within
Hong-** Liang
Artificial Intelligence
Data Mining and Knowledge Discovery
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Chapter and Conference Paper
Hiding Predictive Association Rules on Horizontally Distributed Data
In this work, we propose two approaches of hiding predictive association rules where the data sets are horizontally distributed and owned by collaborative but non-trusting parties. In particular, algorithms to...
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Chapter and Conference Paper
An Integrated Hierarchical Gaussian Mixture Model to Estimate Vigilance Level Based on EEG Recordings
Effective vigilance level estimation can be used to prevent disastrous accident occurred frequently in high-risk tasks. Brain Computer Interface(BCI) based on ElectroEncephalo-Graph(EEG) is a relatively reliab...
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Chapter and Conference Paper
Heuristic Evolutionary Approach for Weighted Circles Layout
In order to improve lack of GA, we combined it with case-based reasoning(CBR) and constructing non-isomorphic layout pattern (NILP) to solve layout problem in this paper. Its basic idea includes 2 components: ...
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Chapter and Conference Paper
Anonymizing Shortest Paths on Social Network Graphs
Social networking is gaining enormous popularity in the past few years. However, the popularity may also bring unexpected consequences for users regarding safety and privacy concerns. To prevent privacy being ...
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Chapter and Conference Paper
SMBSRP: A Search Mechanism Based on Interest Similarity, Query Relevance and Distance Prediction
In the study of unstructured peer-to-peer networks, due to the lack of network structure, efficient search for resource discovery remains a fundamental challenge. With a combination of the Vector Space Model, ...
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Chapter and Conference Paper
Bayesian Regularization BP Neural Network Model for the Stock Price Prediction
It is an important research issue to improve the generalization ability of the neural network in the research of artificial neural network. This paper proposes the Bayesian regularization method to optimize th...
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Chapter and Conference Paper
Channel Estimation Based on Extreme Learning Machine for High Speed Environments
Due to the complexity and extensive application of wireless systems, channel estimation has been a hot research issue, especially for high speed environments. High mobility challenges the speed of channel esti...
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Chapter and Conference Paper
Clustering Categorical Sequences with Variable-Length Tuples Representation
Clustering categorical sequences is currently a difficult problem due to the lack of an efficient representation model for sequences. Unlike the existing models, which mainly focus on the fixed-length tuples r...
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Chapter and Conference Paper
Attribute Conjunction Learning with Recurrent Neural Network
Searching images with multi-attribute queries shows practical significance in various real world applications. The key problem in this task is how to effectively and efficiently learn from the conjunction of q...
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Chapter and Conference Paper
A Research on Underwater Acoustic Channel Modeling and Simulation of Shallow Sea
In order to research the shallow underwater communication system further and conveniently, the paper study the characteristics of underwater acoustic propagation and choose “Ray Model” as the simulation. Then ...
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Chapter and Conference Paper
Mining Cohesive Clusters with Interpretations in Labeled Graphs
In recent years, community detection on plain graphs has been widely studied. With the proliferation of available data, each user in the network is usually associated with additional attributes for elaborate d...
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Article
A multi-criteria decision-making method based on single-valued trapezoidal neutrosophic preference relations with complete weight information
Single-valued trapezoidal neutrosophic numbers (SVTNNs) have a strong capacity to depict uncertain, inconsistent, and incomplete information about decision-making problems. Preference relations represent a pra...
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Chapter and Conference Paper
One Shot Learning with Margin
One shot learning is a task of learning from a few examples, which poses a great challenge for current machine learning algorithms. One of the most effective approaches for one shot learning is metric learning...
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Article
A novel density-based adaptive k nearest neighbor method for dealing with overlap** problem in imbalanced datasets
Although a large number of solutions have been proposed to handle imbalanced classification problems over past decades, many researches pointed out that imbalanced problem does not degrade learning performance...
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Chapter and Conference Paper
Research on Evaluation Model of Social Network Information Management Based on Asymmetric Fuzzy Algorithm
The existing evaluation model of the index system and the weight of each index is not perfect, leading ...
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Chapter and Conference Paper
Research on Cost-Benefit Evaluation Model of Social Security Project Based on Fuzzy Entropy
At present, there is no uniform standard for the cost estimation of social security projects for reference, and the cost composition and estimation contents of projects under the self-management mode of all re...
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Article
Fast medical concept normalization for biomedical literature based on stack and index optimized self-attention
Medical concept normalization aims to construct a semantic map** between mentions and concepts and to uniformly represent mentions that belong to the same concept. In the large-scale biological literature da...
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Reference Work Entry In depth
Privacy Preservation in Big Data Analytics
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Article
Implementation of air pollution traceability method based on IF-GNN-FC model with multiple-source data
The most difficult problem in air pollution control is the accurate traceability of pollutants because atmospheric motion is affected by many factors. In this paper, based on the analysis of data, we propose a...
