- Spam and Phishing Detection
- Multi-Agent Systems and Negotiation
- Network Security and Intrusion Detection
- Service-Oriented Architecture and Web Services
- Advanced Image and Video Retrieval Techniques
- Semantic Web and Ontologies
- Sentiment Analysis and Opinion Mining
- Recommender Systems and Techniques
- Video Surveillance and Tracking Methods
- Misinformation and Its Impacts
- Multimodal Machine Learning Applications
- Access Control and Trust
- Complex Network Analysis Techniques
- Auction Theory and Applications
- Advanced Malware Detection Techniques
- Blockchain Technology Applications and Security
- Mobile Agent-Based Network Management
- Video Analysis and Summarization
- Iron and Steelmaking Processes
- Advanced Surface Polishing Techniques
- Image and Video Stabilization
- Imbalanced Data Classification Techniques
- Advanced Steganography and Watermarking Techniques
- Advanced Computational Techniques and Applications
- Higher Education and Teaching Methods
Shandong University of Science and Technology
2015-2024
Shenyang Agricultural University
2005-2022
Shandong Normal University
2018
University of Science and Technology Beijing
2005-2013
Xiamen University
2007
Due to the flexibility of heterogeneous information networks (HINs) in modeling data, researchers begin use it integrate objects and relationships recommender systems. However, how abstract exploit effective apply systems is a challenge. To fully mine nodes' structural features better these simultaneously, we present nonlinear feature fusion-based rating prediction algorithm. This algorithm first uses meta-path-based HIN embedding model extract features. Then, are converted by fusion method....
Abstract It is not uncommon for malicious sellers to collude with fake reviewers (also called spammers) write reviews multiple products either demote competitors or promote their products’ reputations, forming a gray industry chain. To detect spammer groups in heterogeneous network rich semantic information from both buyers and sellers, researchers have conducted extensive research using Frequent Item Mining-based graph-based methods. However, these methods cannot cross-product attacks do...
In group-oriented recommendation filed, the design of a commonly acceptable list is tough task. Traditional group algorithms often realize aggregation according to item ranking or score members' lists. The factors considered in these are relatively one-sided. This paper puts forward new HAaB algorithm for aggregation, which considers as well Experimental results show that can obviously outperform traditional when recommending various common combinations groups.
As metal boring bars have low dynamic stiffness, chatter is easily induced during the process. Therefore, improvement of stability an open problem that requires further study. Though researchers proved composite materials suitable for making tapered can improve stiffness to meet need high-speed boring, existing research studies did not study characteristics bar comprehensively. In particular, no has been done about natural frequency and under various taper ratios. in this paper, a model...
Negotiation protocol is one of the cores agent- mediated automated negotiation in future electronic commerce. Nowadays, most protocols are hard-coded into agent. Thus agent can only use single during its lifecycle or go off line to be reprogrammed with another one. To realize a flexible approach that permits negotiate arbitrary mechanism, we propose an ontology framework. This framework comprises two levels: abstract level and implementation level. In level, extended Colored Petri net (ECPN)...
The imperceptibility of watermark is one the most important measures that evaluate performance watermarking algorithm. conventional evaluation model image quality, PSNR, can't watermarked quality well. masking background brightness, texture, frequency and color to human vision analyzed, then a DWT-based calculation method proposed. Based on this method, weight pixel computed an derived, which written as MPSNR. experimental results show MPSNR works better than PSNR its result consistent with...
Research on architecture of domain ontology component-based information semantic representation and integration is studied. Domain component, a "loosely coupled" approach in the use ontology, advocated. As case study, prototype for agricultural policy-oriented system (APODOCSIIS) established. Ontology plays key role providing shared terminology supporting process. The allows APODOCSIIS-based applications to perform automatic policy text at more length: matching concepts between different...
With electronic commerce becoming increasingly popular, the problems of trust have become one main challenges in development commerce. Although various mechanisms been adopted to guarantee between customers and sellers (or platforms), reputation systems are still frequently attacked by deceptive, collusive, or strategic agents. Therefore, it is difficult keep these robust. It has mentioned that a combined usage both distrust propagation can lead better results. However, little work known...
A boring bar is a tool used to install cutters and transfer power during boring. Because the in narrow workspace usually slender, chatter often occurs process. To improve stability of bar, researchers have designed composite material bars with high dynamic stiffness meet requirements high-speed However, effect shear deformation rotational inertia were ignored. In this paper, model considering established based on Adomian Modified Decomposition Method (AMDM). The characteristics, such as...
Attributes in datasets are usually not equally significant. Some attributes unnecessary or redundant. Attribute reduction is an important research issue of rough set theory, which can find minimum subsets with the same classification effect as whole dataset by removing redundant attributes. We use Chi-square statistics to evaluate significance condition It reduce search space attribute and improve speed reduction. Conditional entropy relative adopted a heuristic function. Two decision table...
In semantic Web, the extensive reuse of existing ontology is a central idea engineering. Ontology partitioning mechanism offers support for modularization and automatic knowledge reuse. This paper proposed kind module method: big into modules in advance, inquiring choosing corresponding from base application stage, then applying directly or composing selected modules. this paper, method relation graph-based partition proposed. The relevant concepts criteria are introduced first. Secondly, we...