72 Result(s)
within
Popular Science
Database Management
**mo Wang
Chapter
-
Chapter and Conference Paper
An Integrated Classification Rule Management System for Data Mining
Classification rule mining plays significant roles in practical applications. While how to mine classification rules from a database efficiently is an important issue, how to manage and apply the mined rules e...
-
Chapter and Conference Paper
Three-Tier Clustering: An Online Citation Clustering System
In this paper, we present a three tier clustering method where data objects are described by a number of feature dimensions. Using the approach, similarity along each feature dimension of objects are first com...
-
Chapter and Conference Paper
Map** Referential Integrity Constraints from Relational Databases to XML
XML is rapidly emerging as the dominant standard for exchanging data on the WWW. Most of application data are stored in relational databases due to its popularity and rich development experiences over it. Ther...
-
Chapter and Conference Paper
Indexing Attributes and Reordering Profiles for XML Document Filtering and Information Delivery
With the ever increasing volume of information generation, selective dissemination of information becomes more and more important since it only brings users the necessary information. Traditional selective dis...
-
Chapter and Conference Paper
Characterizing Web Document Change
The World Wide Web is growing and changing at an astonishing rate. For the information in the web to be useful, web information systems such as search engines have to keep up with the growth and change of the ...
-
Chapter and Conference Paper
Link Based Clustering of Web Search Results
With information proliferation on the Web, how to obtain high-quality information from the Web has been one of hot research topics in many fields like Database, IR as well as AI. Web search engine is the most ...
-
Chapter and Conference Paper
Compressing the Index - A Simple and yet Efficient Approximation Approach to High-Dimensional Indexing
An efficient tunable high-dimensional indexing scheme called the iMinMax(θ) was proposed to map high-dimensional data points into single dimension value based on the minimum or maximum values among all dimensions...
-
Chapter and Conference Paper
Topic Exploration and Distillation for Web Search by a Similarity-Based Analysis
Topic distillation is the process of finding representative pages relevant to a given query. Well-known topic distillation approaches such as the HITS algorithm have shown to be useful in identifying high qual...
-
Chapter and Conference Paper
Extract Frequent Pattern from Simple Graph Data
Mining the frequent pattern from data set is one of the key success stories of data mining research. Currently, most of the efforts are focused on the independent data such as the items in the marketing basket...
-
Chapter and Conference Paper
Using PR-Tree and HPIR to Manage Coherence of Semantic Cache for Location Dependent Data in Mobile Database
Location dependent data (LDD) is the data whose value is determined by the location to which it is related. In LDD system, caching is a crucial way to improve the performance because a new query can be partial...
-
Chapter and Conference Paper
Data Reduction and Noise Filtering for Predicting Times Series
In this paper we introduce a modification of the real discrete Fourier transform and its inverse transform to filter noise and perform reduction on the data whilst preserving the trend of global moving of time...
-
Chapter and Conference Paper
Performance Evaluation of a DOM-Based XML Database: Storage, Indexing, and Query Optimization
DOM is an XML access interface proposed by W3C. XML documents can be stored and accessed through it and XML queries can be evaluated based on DOM. In this paper, a persistent DOM storage method is designed wit...
-
Chapter and Conference Paper
XML-Based Data Rendering Engine for Content Management System
XML sets a standard for the exchange of business data that is completely platform- and vendor-neutral. Because XML data comes in many forms, one of the most important technologies needed for XML applications i...
-
Chapter and Conference Paper
Exploiting the Intrinsic Irreversibility of Adaptive Technologies to Enhance the Security of Digital Watermarking
To overcome the reversibility of the widely researched adaptive watermarking, the existing method based on cryptography is first directly revised for adaptive systems. The intrinsic irreversibility of some ada...
-
Chapter and Conference Paper
A Q-Based Architecture for Semantic Information Interoperability on Semantic Web
Semantic Web supports a fire-new infrastructure for solving the problem of semantic information interoperability, and it promises to support an intelligent and automatic information-processing platform for mul...
-
Chapter and Conference Paper
KNN Model-Based Approach in Classification
The k-Nearest-Neighbours (kNN) is a simple but effective method for classification. The major drawbacks with respect to kNN are (1) its low efficiency – being a lazy learning method prohibits it in many applic...
-
Chapter and Conference Paper
Clustering Schemaless XML Documents
This paper addresses the issue of semantically clustering the increasing number of the schemaless XML documents. In our approach, each document in a document collection is firstly represented by a macro-path sequ...
-
Chapter and Conference Paper
Behaviour Recovery and Complicated Pattern Definition in Web Usage Mining
Data mining includes four steps: data preparation, pattern mining, and pattern analysis and pattern application. But in web environment, the user activities become much more complex because of the complex web ...
-
Chapter and Conference Paper
A Component-Based WebGIS Geo-Union
A component-based WebGIS system Geo-Union is introduced, including its architecture, functional partition and web application mode.
-
Chapter and Conference Paper
A Three-Level Architecture for Distributed Web Information Systems
In this article we present a three-level architecture for distributed web information systems (WISs) based on media objects. We distinguish between a service level, a database level and an operational level. T...
