30 Result(s)
within
YaJun Du
Computer Science
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Chapter and Conference Paper
Obtaining a Complex Linguistic Data Summaries from Database Based on a New Linguistic Aggregation Operator
In real-world database, generally, attribute values of objects are numerical, from real-world practice point of view, numeral is too detail to obtaining good information or decision. Hence, a linguistic data s...
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Chapter and Conference Paper
The Strategy of Matching User Queries with Web Pages Based on Formal Concept Analysis
A searching result can be returned for submitting user query to Search Engine(SE). However, large numbers of Web pages in the searching result are not interested by users. To overcome this problem, from automa...
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Chapter and Conference Paper
New Fast Algorithm for Constructing Concept Lattice
Concept lattice is an important method and technology for data analysis and knowledge discovery, however, in this research field, many researchers focus on two-valued formal context. In this paper, we transfor...
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Chapter and Conference Paper
A Method for Building Concept Lattice Based on Matrix Operation
As a power tool for analyzing data, concept lattice has been extensively applied in several areas such as knowledge discovery, software engineering and case-based reasoning. However, building concept lattice i...
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Chapter and Conference Paper
A Topic-Specific Web Crawler with Concept Similarity Context Graph Based on FCA
With Internet growing exponentially, topic-specific web crawler is becoming more and more popular in the web data mining. How to order the unvisited URLs was studied deeply, we present the notion of concept si...
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Chapter and Conference Paper
Locality Preserving One-Class Support Vector Machine
One-class support vector machine (OCSVM) tries to find a hyperplane to distinguish normal data from all other possible outliers or abnormal data. However, only support vectors determine the hyperplane. In this...
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Chapter and Conference Paper
Ranking Web Page with Path Trust Knowledge Graph
How to find and discover useful information from Internet is a real challenge in information retrieval (IR) and search engines (SE). In this paper, we propose and construct Path Trust Knowledge Graph PTKG model f...
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Chapter and Conference Paper
Locality Preserving Based K-Means Clustering
K-Means is a powerful clustering method, in which the Euclidean distance is usually employed. In the paper, by following the basic idea of locality preserving projection (LPP), we first define locality preserv...
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Chapter and Conference Paper
A Novel Approach of Identifying User Intents in Microblog
Social micro-blogging platforms facilitate the emergence of citizen’s needs and desires which reflect a variety of intents ranging from daily life (e.g., food and drink) to leisure life (e.g., travel and physi...
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Chapter and Conference Paper
A Novel Entity Relation Extraction Approach Based on Micro-Blog
Entity relation extraction is a key task in information extraction. The purpose is to find out the semantic relation between entities in the text. An improved tree kernel-based method for relation extraction ...
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Chapter and Conference Paper
Mining Implicit Intention Using Attention-Based RNN Encoder-Decoder Model
Nowadays, people are increasingly inclined to use social tools to express their intentions explicitly and implicitly. Most of the work is dedicated to solving the explicit intention detection, ignoring the imp...
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Chapter and Conference Paper
Tracking Topic Trends for Short Texts
It is a critical task to infer discriminative and coherent topics from short texts. Furthermore, people not only want to know what kinds of topics can be extract from these short texts, but also desire to obta...
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Chapter and Conference Paper
Detecting Spammers in Sina Micro-blog Based on Multiple Features
As the explosive growth of micro-blog users, which resulting in a large number of spammers. Not only for the calculation of user influences and social network relationship analysis has brought new challenges,...
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Chapter and Conference Paper
A User Personality-Similarity Model for Personalized Followee Recommendation in SINA Microblog
Followee recommendation plays an important role in information sharing over microblogging platforms. But as the popularity of microblogging sites increases, the difficulty of deciding who to follow also increa...
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Chapter and Conference Paper
Network Structural Balance Analysis for Sina Microblog Based on Particle Swarm Optimization Algorithm
Research on structure balance of networks is of great importance for theoretical research and practical application, and received extensive attention of scholars from diverse fields in recent years. The comput...
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Chapter and Conference Paper
A Hybrid Method to Sentiment Analysis for Chinese Microblog
In recent years, more and more netizens are willing to express their opinions on social media platforms. Sentiment analysis is effective and valuable to extract useful information out of massive text documents...
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Chapter and Conference Paper
A CWTM Model of Topic Extraction for Short Text
The topic model is designed to find potential topics from the massive micro-blog data. On the one hand, the extraction of potential topics contributes to the next analysis. On the other hand, because of the p...
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Chapter and Conference Paper
Information Diffusion Model Based on Opportunity, Trust and Motivation
Building an accurate information diffusion model around universal social factors has started to post its popularity on social network researches, which benefits a lot from its evolution simulation for identify...
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Chapter and Conference Paper
A Personality-Aware Followee Recommendation Model Based on Text Semantics and Sentiment Analysis
As the popularity of micro-blogging sites, followee recommendation plays an important role in information sharing over microblogging platforms. But as the popularity of microblogging sites increases, the diffi...
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Article
OFNE: a framework of opinion features regulated network embedding
Network embedding technologies that transform the nodes of a network into a low-dimensional vector space have many various potential applications such as node classification, community detection and Internet p...
