85 Result(s)
within
Popular Science
Computer Communication Networks
Information Storage and Retrieval
**u-**u Zhang
Chapter
Conference Paper
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Chapter and Conference Paper
Energy-Efficient Skyline Queries over Sensor Network Using Mapped Skyline Filters
In recent years, wireless sensor network has been widely used in military and civil applications. For many wireless sensor applications, the skyline query is a very important operator for retrieving data accor...
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Chapter and Conference Paper
Spectral Edit Distance Method for Image Clustering
The spectral graph theories have been widely used in the domain of image clustering where editing distances between graphs are critical. This paper presents a method for spectral edit distance between the grap...
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Chapter and Conference Paper
Study on Efficiency and Effectiveness of KSORD
KSORD(Keyword Search Over Relational Databases) is an easy and effective way for casual users or Web users to access relational databases. In recent years, much research on KSORD has been done, and many protot...
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Chapter and Conference Paper
Tight Correlated Item Sets and Their Efficient Discovery
We study the problem of mining correlated patterns. Correlated patterns have advantages over associations that they cover not only frequent items, but also rare items.Tight correlated item sets is a concise re...
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Chapter and Conference Paper
A Theoretical Framework of Natural Computing – M Good Lattice Points (GLP) Method
This paper analyses several currently used computing methods inspired by the nature and concludes their common properties and their disadvantages. It then proposes a more abstract computing model inspired by t...
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Chapter and Conference Paper
Building Data Synopses Within a Known Maximum Error Bound
The constructions of Haar wavelet synopses for large data sets have proven to be useful tools for data approximation. Recently, research on constructing wavelet synopses with a guaranteed maximum error has gai...
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Chapter and Conference Paper
Attributes Reduction Based on GA-CFS Method
The selection and evaluation task of attributes is of great importance for knowledge-based systems. It is also a critical factor affecting systems’ performance. By using the genetic operator as the searching a...
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Chapter and Conference Paper
Generation and Matching of Ontology Data for the Semantic Web in a Peer-to-Peer Framework
The abundance of ontology data is very crucial to the emerging semantic web. This paper proposes a framework that supports the generation of ontology data in a ptop environment. It not only enables users to co...
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Chapter and Conference Paper
Mining Time-Shifting Co-regulation Patterns from Gene Expression Data
Previous work for finding patterns only focuses on grou** objects under the same subset of dimensions. Thus, an important bio-interesting pattern, i.e. time-shifting, will be ignored during the analysis of t...
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Chapter and Conference Paper
Discovering Web Services Based on Probabilistic Latent Factor Model
Recently, web services have been increasingly used to integrate and build business applications on the Internet. Once a web service is published and deployed, clients and other applications can discover and in...
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Chapter and Conference Paper
Computing Repairs for Inconsistent XML Document Using Chase
An XML document is inconsistent if it violates predefined integrity constraints. In this paper, we consider how to compute repairs for an inconsistent XML document. Here repair is defined as the data consistent w...
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Chapter and Conference Paper
Promotional Ranking of Search Engine Results: Giving New Web Pages a Chance to Prove Their Values
Recent studies show that the link-structure-based measures of Web page popularity prolong the procedure of new pages reaching their deserved ranking. In this paper we propose a promotional ranking scheme that ...
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Chapter and Conference Paper
Homomorphism Resolving of XPath Trees Based on Automata
As a query language for navigating XML trees and selecting a set of element nodes, XPath is ubiquitous in XML applications. One important issue of XPath queries is containment checking, which is known as a co-...
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Chapter and Conference Paper
Record Extraction Based on User Feedback and Document Selection
In recent years, the research of record extraction from large document data is becoming popular. However there still exist some problems in record extraction. 1) when large document data is used for the target...
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Chapter and Conference Paper
Comments on Order-Based Deadlock Prevention Protocol with Parallel Requests in “A Deadlock and Livelock Free Protocol for Decentralized Internet Resource Co-allocation”
This paper discusses the order-based deadlock prevention protocol with parallel requests (ODP3) [1]. From the analysis of theorems about ODP3, we found that the conclusions of paper [1] are not correct. The ODP3 ...
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Chapter and Conference Paper
Parallel Implementing of Road Situation Modeling with Floating GPS Data
Most traffic flow models are based on the traffic data from inductive loops. However, this paper is to model the road situation with GPS data of floating vehicles. The relationship of the time and the passing ...
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Chapter and Conference Paper
The Research of Scientific Computing Environment on Scilab
The paper focuses on the implements of distributed parallel computing on Scilab, a wide-used Grid environment. Netbutterfly Grid Computing System (NGCS) is designed , Some of key issues, such as the architectu...
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Chapter and Conference Paper
A Workflow-Oriented Scripting Language Based on BPEL4WS
This paper proposes a high-level scripting language, which can be used to express workflow for scientific and engineering tasks running on Computing Grid. Since it is difficult for common computing users to ex...
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Chapter and Conference Paper
XML Clustering Based on Common Neighbor
Clustering on XML documents is an important task. However, it is difficult to select the appropriate parameters’ value for the clustering algorithms. By integrating outlier detection with clustering, the paper...
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Chapter and Conference Paper
Web Content Mining for Market Intelligence Acquiring from B2C Websites
Market Intelligence (MI) is information and knowledge relevant to an enterprise market decision-making process. MI acquiring is a key activity for enterprises to keep predominance in furious market competition...
