350 Result(s)
within
Information Storage and Retrieval
**g-** Ge
Computer Science
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Chapter and Conference Paper
Using XML Structure to Reduce Candidate Nodes Participated in Query Processing
Several algorithms have focused on processing path expression queries. Following those algorithms, all the nodes, matched with path expressions, are participated in computing. In this paper, we propose a novel...
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Chapter and Conference Paper
Comb-Pattern Optimal Pilot in MIMO-OFDM System
Channel estimation is very important for MIMO (Multiple Input Multiple Output) OFDM (Orthogonal Frequency Division Multiplexing) systems, while computation required is relatively large. Block-pattern optimal p...
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Chapter and Conference Paper
An Optimized K-Means Algorithm of Reducing Cluster Intra-dissimilarity for Document Clustering
Due to the high-dimension and sparseness properties of documents, clustering the similar documents together is a tough task. The most popular document clustering method K-Means has the shortcoming of its clust...
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Chapter and Conference Paper
A Query Processing Approach Based on Window Semantics in Data Stream System
Since data streams are continuous, unbounded and real-time, continuous queries over data streams are generally based on windows. Windows placed on data streams are maintained by operators themselves for a quer...
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Chapter and Conference Paper
Chaotic Dynamic Analysis of MPEG-4 Video Traffic and Its Influence on Packet Loss Ratio
This paper studies the chaotic dynamic behavior of MPEG-4 video trace and the relationship between the chaotic dynamic characteristic and the QoS parameter. The main research motive is to analysis and to verif...
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Chapter and Conference Paper
A Query Rewriting System for Enhancing the Queriability of Form-Based Interface
Form-based Web queries are commonly used by Web users for extracting information from the Web. However, some hidden information cannot be retrieved from the Web interface, which results in the limited query an...
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Chapter and Conference Paper
ESPClust: An Effective Skew Prevention Method for Model-Based Document Clustering
Document clustering is necessary for information retrieval, Web data mining, and Web data management. To support very high dimensionality and the sparsity of document feature, the model-based clustering has be...
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Chapter and Conference Paper
A Common Application-Centric QoS Model for Selecting Optimal Grid Services
Application-centric QoS (AQoS) model is needed for evaluating semantic equivalent Grid Services in an application-oriented service Grid. Previous related researches on QoS mainly are for resource allocation in...
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Chapter and Conference Paper
On the Design of Provably Secure Identity-Based Authentication and Key Exchange Protocol for Heterogeneous Wireless Access
Heavily based on the provable security model of Canetti and Krawczyk (CK-model), an identity-based authentication and key exchange (AKE) protocol which uses pairings is proposed for securing heterogeneous wire...
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Chapter and Conference Paper
An Effective and Efficient Approach for Keyword-Based XML Retrieval
IR-style keyword-based search on XML document has become the most common tool for XML query, as users need not to know the structural information of the target XML document before constructing a query. For a k...
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Chapter and Conference Paper
A Hidden Markov Model and Immune Particle Swarm Optimization-Based Algorithm for Multiple Sequence Alignment
Multiple sequence alignment (MSA) is a fundamental and challenging problem in the analysis of biologic sequences. In this paper, an immune particle swarm optimization (IPSO) is proposed, which is based on the ...
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Chapter and Conference Paper
MMPClust: A Skew Prevention Algorithm for Model-Based Document Clustering
To support very high dimensionality, model-based clustering is an intuitive choice for document clustering. However, the current model-based algorithms are prone to generating the skewed clusters, which influe...
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Chapter and Conference Paper
Support for Internet-Based Commonsense Processing – Causal Knowledge Discovery Using Japanese “If” Forms
This paper introduces our method for causal knowledge retrieval from the Internet resources, its results and evaluation of using it in utterance creation process. Our system automatically retrieves commonsensi...
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Chapter and Conference Paper
A Privacy-Preserving Classification Mining Algorithm
Privacy-preserving classification mining is one of the fast-growing sub-areas of data mining. How to perturb original data and then build a decision tree based on perturbed data is the key research challenge. ...
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Chapter and Conference Paper
Evaluating Document-to-Document Relevance Based on Document Language Model: Modeling, Implementation and Performance Evaluation
To evaluate document-to-document relevance is very important to many advanced applications such as IR, text mining and natural language processing. Since it is very hard to define document relevance in a mathe...
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Chapter and Conference Paper
Solving Job-Shop Scheduling Problems by a Novel Artificial Immune System
The optimization of job-shop scheduling is very important because of its theoretical and practical significance. This paper proposes an efficient scheduling method based on artificial immune systems. In the pr...
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Chapter and Conference Paper
Efficient Cooperative Caching Schemes for Data Access in Mobile Ad Hoc Networks
We study cooperative caching technique for supporting data access in ad hoc networks. Two protocols that are based on the notion of zone are proposed. The IXP protocol is push-based in the sense that a mobile ...
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Chapter and Conference Paper
A Deadline-Sensitive Approach for Real-Time Processing of Sliding Windows
In a growing number of information processing applications, data takes the form of continuous data streams rather than traditional stored databases. Most of these applications have sophisticated real-time cons...
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Chapter and Conference Paper
An Effective Service Discovery Model for Highly Reliable Web Services Composition in a Specific Domain
How to discover suitable Web services becomes more and more important in supporting highly reliable Web services composition. Nowadays, related work mainly focuses on syntax agreement and compatible matching t...
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Chapter and Conference Paper
Effective Large Scale Ontology Map**
Ontology map** is the key point to reach interoperability over ontologies. It can identify the elements corresponding to each other. With the rapid development of ontology applications, domain ontologies bec...
