28 Result(s)
within
Zhigang **
Computer Science
Artificial Intelligence
Database Management
Information Systems Applications (incl. Internet)
-
Chapter and Conference Paper
Considering Correlation between Variables to Improve Spatiotemporal Forecasting
The importance of forecasting cannot be overemphasized in modern environment surveillance applications, including flood control, rainfall analysis, pollution study, nuclear leakage prevention and so on. That i...
-
Chapter and Conference Paper
Global Convergence of Steepest Descent for Quadratic Functions
This paper analyzes the effect of momentum on steepest descent training for quadratic performance functions. Some global convergence conditions of the steepest descent algorithm are obtained by directly analyz...
-
Chapter and Conference Paper
Partially Supervised Classification – Based on Weighted Unlabeled Samples Support Vector Machine
This paper addresses a new classification technique: partially supervised classification (PSC), which is used to identify a specific land-cover class of interest from a remotely sensed image by using unique tr...
-
Chapter and Conference Paper
An Algorithm for Best Selection in Semantic Composition of Web Service
The automation of Web services interoperation can bring advantages to effective B2B collaboration. However, the techniques for Web service composition may still require a lot of manual efforts. For example, ho...
-
Chapter and Conference Paper
Combining Multiple Sources of Evidence in XML Multimedia Documents: An Inference Network Incorporating Element Language Models
This work makes use of the semantic structure and logical structure in XML documents, and their combination to represent and retrieve XML multimedia content. We develop a Bayesian network incorporating element...
-
Chapter and Conference Paper
Enhancing Relevance Models with Adaptive Passage Retrieval
Passage retrieval and pseudo relevance feedback/query expansion have been reported as two effective means for improving document retrieval in literature. Relevance models, while improving retrieval in most cas...
-
Chapter and Conference Paper
The Design and Implement of Knowledge Building Classroom Based on Web2.0
With the rapid development of the internet, e-Learning is playing an important role to life-long learning. But the phenomenon that e-Learning is lack of Knowledge Building at large has raised the attention of ...
-
Chapter and Conference Paper
An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns
Negative sequential pattern mining has attracted increasing concerns in recent data mining research because it considers negative relationships between itemsets, which are ignored by positive sequential patter...
-
Chapter and Conference Paper
An Improved UCONA-Based Authorization Policy Specification for Ubiquitous Systems
Anywhere and anytime access to information within computing infrastructures is a purpose of ubiquitous computing. The new security challenges are posed while the information can be accessed at anywhere and any...
-
Chapter and Conference Paper
R&D on Oil Spill Emergency Decision Support System
A system is described for the prediction of oil spills movement and the suggestion on response operations. It can provide the movement and fate of oil spills, optimized recommendations of arrangement and deliv...
-
Chapter and Conference Paper
The Case of Web-Based Course on Taxation: Current Status, Problems and Future Improvement
This paper mainly introduces the case of the web-based course on taxation developed by **amen University. We analyze the current status, problems and future improvement of the web-based course. The web-based c...
-
Chapter and Conference Paper
The Rational Thinking of Commercial Operation on China’s Major Sports Events
In recent years, China’s sports industry has been rapid development of sports activities of all sectors of society attach great importance to the broad masses to actively participate, and enthusiasm, which als...
-
Chapter and Conference Paper
Agent-Based Modelling and Simulation: Examples from Competitive Market and Group Dynamics
The purpose of this paper is to demonstrate the usefulness of complex systems paradigm in studying real life phenomena. In this paper, we depict the phenomena from two distinctive domains: the competitive beha...
-
Chapter and Conference Paper
Detecting Spam Community Using Retweeting Relationships – A Study on Sina Microblog
Microblog marketing is a new trend in social media. Spammers have been increasingly targeting such platforms to disseminate spam and promoting messages. Unlike the past behaviors on traditional media, they con...
-
Chapter and Conference Paper
BC-BSP: A BSP-Based Parallel Iterative Processing System for Big Data on Cloud Architecture
Many applications in real life can produce and collect large amount of data and many of them can be modeled by Graph. The number of vertexes of a graph could be several hundreds of millions to billions and the...
-
Chapter and Conference Paper
Pricing in Social Networks with Negative Externalities
We study the problems of pricing an indivisible product to consumers who are embedded in a given social network. The goal is to maximize the revenue of the seller. We assume impatient consumers who buy the pro...
-
Chapter and Conference Paper
Domain Specific Cross-Lingual Knowledge Linking Based on Similarity Flooding
The global knowledge sharing makes large-scale multi-lingual knowledge bases an extremely valuable resource in the Big Data era. However, current mainstream multi-lingual ontologies based on online wikis still...
-
Chapter and Conference Paper
Spectrum Allocation Based on Gaussian - Cauchy Mutation Shuffled Frog Lea** Algorithm
When solving the cognitive radio spectrum allocation problems, the traditional Shuffled Frog Lea** Algorithm (SFLA) will be trapped into the local optimal solution easily and search lack of population divers...
-
Chapter and Conference Paper
Secured Privacy Preserving Data Aggregation with Semi-honest Servers
With the large deployment of smart devices, the collections and analysis of user data significantly benefit both industry and people’s daily life. However, it has showed a serious risk to people’s privacy in t...
-
Chapter and Conference Paper
DT-KST: Distributed Top-k Similarity Query on Big Trajectory Streams
During the past decade, with the widespread use of smartphones and other mobile devices, big trajectory data are generated and stored in a distributed way. In this work, we focus on the distributed top-k similari...
