27 Result(s)
within
English
Artificial Intelligence
Database Management
Dong-**ng Wang
Conference Paper
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Chapter and Conference Paper
GeoGTI: Towards a General, Transferable and Interpretable Site Recommendation
Lack of data and weak interpretability are the main problems faced by store site recommendations. This paper presents a unified site recommendation system called GeoGTI (General,Transferable and Interpretable), w...
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Chapter and Conference Paper
Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity
In this paper, we propose a dual-process cognitive recommendation system for sequential recommendations. The framework includes an intuitive representation module (System 1) and an inference module (System 2)....
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Chapter and Conference Paper
Generating Contextually Coherent Responses by Learning Structured Vectorized Semantics
Generating contextually coherent responses has been one of the most critical challenges in building intelligent dialogue systems. Key issues are how to appropriately encode contexts and how to make good use of...
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Chapter and Conference Paper
Consistency- and Inconsistency-Aware Multi-view Subspace Clustering
Multi-view subspace clustering has emerged as a crucial tool to solve the multi-view clustering problem. However, many of the existing methods merely focus on the consistency issue when learning the multi-view...
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Chapter and Conference Paper
Proof of Activity Consensus Algorithm Based on Credit Reward Mechanism
Proof of Activity (PoA) is a key algorithm to reach consensus among nodes. In current PoA, N online representative nodes are only used to create one transaction block, and the probability of creating a block b...
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Chapter and Conference Paper
Online Programming Education Modeling and Knowledge Tracing
With the development of computer technology, more and more people begin to learn programming. And there are a lot of platforms for programmers to practice. It’s often difficult for these platforms to customize...
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Chapter and Conference Paper
Relation Classification in Scientific Papers Based on Convolutional Neural Network
Scientific papers are important for scholars to track trends in specific research areas. With the increase in the number of scientific papers, it is difficult for scholars to read all the papers to extract eme...
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Chapter and Conference Paper
Multi-view Spectral Clustering via Multi-view Weighted Consensus and Matrix-Decomposition Based Discretization
In recent years, multi-view clustering has been widely used in many areas. As an important category of multi-view clustering, multi-view spectral clustering has recently shown promising advantages in partition...
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Chapter and Conference Paper
Low-Rank and Sparse Cross-Domain Recommendation Algorithm
In this paper, we propose a novel Cross-Domain Collaborative Filtering (CDCF) algorithm termed Low-rank and Sparse Cross-Domain (LSCD) recommendation algorithm. Different from most of the CDCF algorithms which...
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Chapter and Conference Paper
Attributed Network Embedding with Micro-meso Structure
Recently, network embedding has received a large amount of attention in network analysis. Although some network embedding methods have been developed from different perspectives, on one hand, most of the exist...
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Chapter and Conference Paper
Community Detection in Graph Streams by Pruning Zombie Nodes
Detecting communities in graph streams has attracted a large amount of attention recently. Although many algorithms have been developed from different perspectives, there is still a limitation to the existing ...
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Chapter and Conference Paper
Fast Multiway Maximum Margin Clustering Based on Genetic Algorithm via the NystrÖm Method
Motivated by theories of support vector machine, the concept of maximum margin has been extended to the applications in the unsupervised scenario, develo** a novel clustering method─maximum margin clustering (M...
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Chapter and Conference Paper
Holistic Subgraph Search over Large Graphs
Due to its wide applications, subgraph matching problem has been studied extensively in the past decade. In this paper, we consider the subgraph match query in a more general scenario. We build a structural in...
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Chapter and Conference Paper
Clustering-Based k-Anonymity
Privacy is one of major concerns when data containing sensitive information needs to be released for ad hoc analysis, which has attracted wide research interest on privacy-preserving data publishing in the pas...
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Chapter and Conference Paper
Selecting an Appropriate Interestingness Measure to Evaluate the Correlation between Syndrome Elements and Symptoms
In order to select the best interestingness measure appropriate for evaluating the correlation between syndrome elements and symptoms, 60 objective interestingness measures were selected from different subject...
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Chapter and Conference Paper
Networks Intrusion Behavior Prediction Based on Threat Model
The rapid development of computer networks has accelerated the development of society, but also leads to much more frequent network attacks, and makes the attacks much more complex. Therefore, network intrusio...
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Chapter and Conference Paper
Enhancing Utility and Privacy-Safety via Semi-homogenous Generalization
The existing solutions to privacy preserving publication can be classified into the homogenous and non-homogenous generalization. The generalization of data increases the uncertainty of attribute values, and l...
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Chapter and Conference Paper
Optimization of Oil Field Injection Pipe Network Model Based on Electromagnetism-Like Mechanism Algorithm
The accuracy of water injection pipe network hydraulic model is directly related to the fitting degree of water injection pipe network actual running state. In order to improve the accuracy, using optimization...
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Chapter and Conference Paper
Study on Engineering Consciousness and Ability Fostering of Applied Talents in Engineering Education
Fostering problem of innovative applied talent in engineering education is important problem of modern industry development and innovative national construction. The paper analyze detailedly Engineering abilit...
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Chapter and Conference Paper
Multiple Ranker Method in Document Retrieval
In this paper, we propose a multiple-ranker approach to make learning to rank methods more effective for document retrieval application. In traditional learning to rank methods, a ranker is learned from a set ...
