250 Result(s)
within
Computer Science
Database Management
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
**u Tao
Chapter
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Chapter and Conference Paper
Mining Functional Dependency Rule of Relational Database
This paper defines a kind of rule, functional dependency rule. The functional dependency degree of relational database can be depicted by this kind of rule. We give a algorithm to mine this kind of rule and pr...
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Chapter and Conference Paper
A Visual Method of Cluster Validation with Fastmap
This paper presents a visual method of cluster validation using the Fastmap algorithm. Two problems are tackled with Fastmap in the interactive process of discovering interesting clusters from real world datab...
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Chapter and Conference Paper
Association Rules
New association rules are presented for measure of association relationships between patterns. The new association rules are shown to not only measure three well-known association relationships correctly, but ...
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Chapter and Conference Paper
Validating an Access Cost Model for Wide Area Applications
In this paper, we describe a case study in develo** an access cost model for WebSources in the context of a wrapper mediator architecture. We document our experiences in validating this model, and note succe...
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Chapter and Conference Paper
Efficient OLAP Operations in Spatial Data Warehouses
Spatial databases store information about the position of individual objects in space. In many applications however, such as traffic supervision or mobile communications, only summarized data, like the number ...
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Chapter and Conference Paper
Estimating Joint Probabilities from Marginal Ones*
Estimating joint probabilities plays an important role in many data mining and machine learning tasks. In this paper we introduce two methods, minAB and prodAB, to estimate joint probabilities. Both methods are b...
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Chapter and Conference Paper
CoFD: An Algorithm for Non-distance Based Clustering in High Dimensional Spaces*
The clustering problem, which aims at identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity clusters, has been widely studied. T...
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Chapter and Conference Paper
A Bayesian Method for Content-Based Image Retrieval by Use of Relevance Feedback
This paper proposes a new Bayesian method for content-based image retrieval using relevance feedback. In this method, the problem of contentbased image retrieval is first formulated as a two-class classificati...
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Chapter and Conference Paper
Aggregate Processing of Planar Points
Aggregate window queries return summarized information about objects that fall inside a query rectangle (e.g., the number of objects instead of their concrete ids). Traditional approaches for processing such q...
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Chapter and Conference Paper
Site-Role Based GreedyDual-Size Replacement Algorithm
Web caching is an effective Web performance enhancement technique that has been used widely. Web caching aims at reducing network traffic, server load, and user-perceived retrieval delays by replicating popula...
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Chapter and Conference Paper
Exploiting Similarity of Subqueries for Complex Query Optimization
Query optimizers in current database management systems (DBMS) often face problems such as intolerably long optimization time and/or poor optimization results when optimizing complex queries. To tackle this ch...
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Chapter and Conference Paper
Validity Information Retrieval for Spatio-Temporal Queries: Theoretical Performance Bounds
The results of traditional spatial queries (i.e., range search, nearest neighbor, etc.) are usually meaningless in spatio-temporal applications, because they will be invalidated by the movements of query and/o...
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Chapter and Conference Paper
Wrap** Web Pages into XML Documents
XML is gaining popularity as an industrial standard for presenting and exchanging structured information on the web. Meanwhile, the majority of documents on-line are still marked up with HTML, which are design...
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Chapter and Conference Paper
Ontology Based Sports Video Annotation and Summary
With digital sports video increasing everyday, effective analyzing sports video content becomes more and more important. Effective and efficient representation of video for searching, retrieval, inference and ...
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Chapter and Conference Paper
Determining the Number of Probability-Based Clustering: A Hybrid Approach
While analyzing the previous methods for determining the number of probability-based clustering, this paper introduces an improved Monte Carlo Cross-Validation algorithm (iMCCV) and attempts to solve the posterio...
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Chapter and Conference Paper
A Self-adaptive Scope Allocation Scheme for Labeling Dynamic XML Documents
This paper proposes a self-adaptive scope allocation scheme for labeling dynamic XML documents. It is general, light-weight and can be built upon existing data retrieval mechanisms. Bayesian inference is used ...
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Chapter and Conference Paper
Clustering XML Documents by Structure
This work explores the application of clustering methods for grou** structurally similar XML documents. Modeling the XML documents as rooted ordered labeled trees, we apply clustering algorithms using distan...
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Chapter and Conference Paper
Clustering Structured Web Sources: A Schema-Based, Model-Differentiation Approach
The Web has been rapidly “deepened” with the prevalence of databases online. On this “deep Web,” numerous sources are structured, providing schema-rich data. Their schemas define the object domain and its query c...
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Chapter and Conference Paper
Mining Maximal Frequent ItemSets Using Combined FP-Tree
Maximal frequent itemsets mining is one of the most fundamental problems in data mining. In this paper, we present CfpMfi, a new depth-first search algorithm based on CFP-tree for mining MFI. Based on the new ...
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Chapter and Conference Paper
Clustering XML Documents Using Structural Summaries
This work presents a methodology for grou** structurally similar XML documents using clustering algorithms. Modeling XML documents with tree-like structures, we face the ‘clustering XML documents by structur...
