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Chapter and Conference Paper
GERNS: A Graph Embedding with Repeat-Free Neighborhood Structure for Subgraph Matching Optimization
Subgraph matching is used to determine whether a query graph exists within a target graph, and appears in a lot applications of domains including social sciences, chemistry, biology and database systems. Exist...
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Chapter and Conference Paper
An Approach for Identifying Author Profiles of Blogs
Author profile identification has been an important research problem in the areas of web mining, network public opinion monitoring and social network analysis. The aim of this problem is to identify characteri...
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Chapter and Conference Paper
Authorship Identification of Source Codes
Source code authorship identification is an issue of authorship identification from documents, and it is to identify authors of source codes or programs based on source code examples of programmers. The main a...
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Chapter and Conference Paper
Identifying Helpful Online Reviews with Word Embedding Features
The advent of Web 2.0 has enabled users to share their opinions via various social media websites. People’s decision-making process is strongly influenced by online reviews. Predicting the helpfulness of revie...
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Chapter and Conference Paper
A Novel Recommendation Relevancy Measure for Collaborative Filtering
Recommendation systems help people find their potential interests. In recommendation algorithms relevancy measures play an important role. Current relevancy measures often employ only user-item rating data or ...
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Chapter and Conference Paper
A Supervised Parameter Estimation Method of LDA
Latent Dirichlet Allocation (LDA) probabilistic topic model is a very effective dimension-reduction tool which can automatically extract latent topics and dedicate to text representation in a lower-dimensional...
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Chapter and Conference Paper
LAW: Link-AWare Source Selection for Virtually Integrating Linked Data
With the wide adoption of linked data principles, a large amount of structural data have emerged on World Wide Web. These data are interlinked and form a Web of Data. Yet, so far, only little attention has bee...
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Chapter and Conference Paper
Question Classification Based on Fine-Grained PoS Annotation of Nouns and Interrogative Pronouns
Question classification is one of the key components of Open Domain Question-Answering System. It has become a research focus for its capability to perform Natural Language Processing. The task of question cla...
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Chapter and Conference Paper
Extracting Fine-Grained Entities Based on Coordinate Graph
Most previous entity extraction studies focus on a small set of coarse-grained classes, such as person etc. However, the distribution of entities within query logs of search engine indicates that users are mor...
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Chapter and Conference Paper
Classification of Opinion Questions
With the increasing growth of opinions on news, services and so on, automatic opinion question answering aims at answering questions involving views of persons, and plays an important role in fields of sentime...
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Chapter and Conference Paper
Saliency-Based Content-Aware Image Mosaics
In this paper, we propose a novel content-aware image mosaic approach based on image saliency. The image saliency is used in the whole process of creating an image mosaic with variable size tiles, while a nove...
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Chapter and Conference Paper
Fabric Image Denoising Method Based on Wavelet-Domain HMT Model
To deal with the problem of shape distortion and the poor adaptation in denoising of fabric textures, a denoising method based on hidden Markov tree (HMT) in wavelet domain for jacquard fabric images is propos...
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Chapter and Conference Paper
Active Discovery Based Query Federation over the Web of Linked Data
For many applications over the Web of Linked Data, it is a key challenge to access multiple distributed data sources in an integrated and transparent way. In traditional federated query, data from unknown data...
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Chapter and Conference Paper
Design of an Improved Method of Rijndael S-Box
According to the design criterion of S-box in Rijndael algorithm, a number of S-boxes with good cryptographic properties were constructed, and the avalanche probabilities of these S-boxes were analyzed from va...
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Chapter and Conference Paper
Research on Security of VoIP Network
As a voice transmission technology based on packet switching, VoIP is quite different from traditional telephone service which is based on circuit switching, which results in specific security issues on VoIP n...
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Chapter and Conference Paper
A Probability Model for Related Entity Retrieval Using Relation Pattern
As the Web is becoming the largest knowledge repository which contains various entities and their relations, the task of related entity retrieval excites interest in the field of information retrieval. This ch...
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Chapter and Conference Paper
Blog Opinion Retrieval Based on Topic-Opinion Mixture Model
Recently, as blog is becoming a popular medium to express opinions, blog opinion retrieval excites interest in the field of information retrieval. It helps to find and rank blogs by both topic relevance and op...
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Chapter and Conference Paper
Immune Particle Swarm Optimization with Diversity Monitoring
The paper presents an immune particle swarm optimization with diversity monitoring (DIPSO). In order to maintain appropriate diversity, DIPSO take advantage of immune operators to update the particles at the r...
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Chapter and Conference Paper
Embedding New Data Points for Manifold Learning Via Coordinate Propagation
In recent years, a series of manifold learning algorithms have been proposed for nonlinear dimensionality reduction (NLDR). Most of them can run in a batch mode for a set of given data points, but lack a mecha...
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Chapter and Conference Paper
Interactive Visual Object Extraction Based on Belief Propagation
Interactive foreground/background segmentation in a static image is a hot topic in image processing. Classical frameworks focus on providing one class label for the user to specify the foreground. This may be ...